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ORCIDCoRR, August 2019
- Matthias Miller, Alexandra Bonnici, Mennatallah El-Assady:
Augmenting Music Sheets with Harmonic Fingerprints. - Chiho Choi, Abhishek Patil, Srikanth Malla:
DROGON: A Causal Reasoning Framework for Future Trajectory Forecast. - Nursadul Mamun, Ria Ghosh, John H. L. Hansen:
Quantifying Cochlear Implant Users' Ability for Speaker Identification using CI Auditory Stimuli. - Quoc Thong Le Gia, Ming Li, Yu Guang Wang
:
FaVeST: Fast Vector Spherical Harmonic Transforms. - Itay Safran, Ohad Shamir:
How Good is SGD with Random Shuffling? - Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Image Captioning with Unseen Objects. - Chen Kong, Simon Lucey:
Deep Non-Rigid Structure from Motion. - Ramses van Zon, Marcelo Ponce:
Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. - Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup:
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation. - Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Sturm-Liouville Problems: Theory and Numerical Experiments. - Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang:
Intrinsic Interleaving Distance for Merge Trees. - Diego Rafael Lucio, Rayson Laroca, Luiz Antonio Zanlorensi, Gladston Moreira, David Menotti:
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations. - Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal:
Session-Based Hotel Recommendations: Challenges and Future Directions. - Cindy Xiong, Cristina R. Ceja, Casimir J. H. Ludwig, Steven Franconeri:
Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull. - M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain:
Machine Learning at the Network Edge: A Survey. - Ana Lucic, Hinda Haned, Maarten de Rijke:
Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. - Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. - Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady:
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. - Dina Barak-Pelleg, Daniel Berend, John C. Saunders:
A Model of Random Industrial SAT. - Amir Khazraei, Hamed Kebriaei, Farzad Rajaei Salmasi:
An Optimal Linear Dynamic Detection Method for Replay Attack in Cyber-Physical Systems. - Ming Kawaguchi, Jingmei Hu, Eric Lu, David A. Holland, Stephen Chong, Margo I. Seltzer:
Aquarium Technical Report Preprint. - Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. - Tarang Chugh, Anil K. Jain:
OCT Fingerprints: Resilience to Presentation Attacks. - Joaquín Arias, Manuel Carro:
Evaluation of the Implementation of an Abstract Interpretation Algorithm using Tabled CLP. - Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis:
Few-Shot Meta-Denoising. - David Spies, Jia-Huai You, Ryan Hayward:
Domain-Independent Cost-Optimal Planning in ASP. - Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang:
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. - Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou:
3D Virtual Garment Modeling from RGB Images. - Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. - James Dallas, Kshitij Jain, Zheng Dong, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal:
Online terrain estimation for autonomous vehicles on deformable terrains. - Max Reuter, Gheorghe-Teodor Bercea:
Sublinear Subwindow Search. - Ahmad Khaled Zarabie, Sanjoy Das:
An L0-Norm Constrained Non-Negative Matrix Factorization Algorithm for the Simultaneous Disaggregation of Fixed and Shiftable Loads. - Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. - Rodrigo Rebouças de Almeida, Christoph Treude, Uirá Kulesza:
Tracy: A Business-driven Technical Debt Prioritization Framework. - Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel:
Multi-path Learning for Object Pose Estimation Across Domains. - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media. - Hrushikesh N. Mhaskar:
Deep Gaussian networks for function approximation on data defined manifolds. - Nengkun Yu:
Quantum Temporal Logic. - Heng-Zhao Ma, Jianzhong Li:
A True O(n log{n}) Algorithm for the All-k-Nearest-Neighbors Problem. - Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
The Constrained Round Robin Algorithm for Fair and Efficient Allocation. - Xiang Niu, György Korniss, Boleslaw K. Szymanski:
Supervised Learning of the Global Risk Network Activation from Media Event Reports. - Song Chen, Mengke Ge, Zhigang Li, Jinglei Huang, Qi Xu, Feng Wu:
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips. - Runfan Zhang, Branislav Hredzak:
Remote-Strong-Grid-Point-Based Synchronization Strategy with Fault Ride-Through Capability for Distributed Energy Resources Connected to Weak Grids. - Yadan Luo, Zi Huang, Zheng Zhang, Jingjing Li, Yang Yang:
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. - Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao:
Accelerating CNN Training by Sparsifying Activation Gradients. - Yongsu Ahn, Yu-Ru Lin:
FairSight: Visual Analytics for Fairness in Decision Making. - Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg:
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control. - Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid:
Scalable Place Recognition Under Appearance Change for Autonomous Driving. - Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu:
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. - Carmen Leticia García-Mata, Pedro Rafael Márquez-Gutiérrez:
Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations. 347-353 - Anders Christian Hansen, Laura Thesing:
On the stable sampling rate for binary measurements and wavelet reconstruction. - Jiawei Zhang:
Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview. - Anwesan Pal, Carlos Nieto-Granda, Henrik I. Christensen:
DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments. - Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, Wesley Willett:
Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff. - Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam:
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. - Cheng-Shang Chang, Jang-Ping Sheu:
An Asymptotically Optimal Channel Hopping Sequence with Maximum Rendezvous Diversity. - Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean:
KiloGrams: Very Large N-Grams for Malware Classification. - Shaoyi Peng, Sheldon X.-D. Tan:
GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation. - Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain Network Representations. - Georg Schnabel:
A computational EXFOR database. - Chase Cook, Wentian Jin, Sheldon X.-D. Tan:
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem. - Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. - Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. - Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri:
Illusion of Causality in Visualized Data. - Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric:
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. - Ragini Rathore, Zachary Leggon, Laurent Lessard, Karen B. Schloss:
Estimating Color-Concept Associations from Image Statistics. - Sainul Islam Ansary, Sankha Deb, Alok Kanti Deb:
Automatic pre-grasps generation for unknown 3D objects. - Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou:
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling. - Tingzhen Xu, Linlin Sun, Shihao Yan, Jinsong Hu, Feng Shu:
Pilot-Based Channel Estimation Design in Covert Wireless Communication. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
An Improved Approximation Algorithm for TSP in the Half Integral Case. - Hrishikesh Kulkarni, Bradly Alicea:
Cultural association based on machine learning for team formation. - Xian-Ming Gu, Siu-Long Lei, Ke Zhang, Zhao-Li Shen, Chun Wen, Bruno Carpentieri:
A Hessenberg-type Algorithm for Computing PageRank Problems. - Hsin-Hao Su, Hoa T. Vu:
Distributed Data Summarization in Well-Connected Networks. - Denis Spiridonov, Maria V. Vasilyeva, Eric T. Chung:
Generalized Multiscale Finite Element method for multicontinua unsaturated flow problems in fractured porous media. - Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei:
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. - Michael Griebel, Guanglian Li:
On the Numerical Approximation of the Karhunen-Loève Expansion for Lognormal Random Fields. - Bruno Ferrarini, Maria Waheed, Sania Waheed, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors. - Mohsen Ghodrat, Horacio J. Marquez:
Event-Triggered Design with Guaranteed Minimum Inter-Event Times and Lp Performance. - Alekh Agarwal, Sham M. Kakade, Jason D. Lee, Gaurav Mahajan:
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes. - Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. - David B. Blumenthal:
New Techniques for Graph Edit Distance Computation. - Yiyun Zhao, Zhuqing Jiang, Aidong Men, Guodong Ju:
Pyramid Real Image Denoising Network. - M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss. - Minjie Hua, Yibing Nan, Shiguo Lian:
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture. - Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, Mingliang Xu:
A Natural-language-based Visual Query Approach of Uncertain Human Trajectories. - Kenji Fukushima, Shotaro Shiba Funai, Hideaki Iida:
Featuring the topology with the unsupervised machine learning. - Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. - Serhii Nazarovets, Alexey Skalaban:
Plan S. Pardon impossible to execute. - N. Prasad, Navonil Chatterjee, Santanu Chattopadhyay, Indrajit Chakrabarti:
Runtime Mitigation of Packet Drop Attacks in Fault-tolerant Networks-on-Chip. - Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen:
Simple and Effective Text Matching with Richer Alignment Features. - Yilun Liu, Lidong Zhu:
General Information Theory: Time and Information. - Zili Wang:
MSnet: A BERT-based Network for Gendered Pronoun Resolution. - Rômulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar:
A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision. - Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling. - Maksim Jenihhin, Xinhui Lai, Tara Ghasempouri, Jaan Raik:
Towards Multidimensional Verification: Where Functional Meets Non-Functional. - Avishek Garain, Sainik Kumar Mahata:
Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning. - Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay:
JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. - Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua, Dong Seong Kim:
Optimal Deployments of Defense Mechanisms for the Internet of Things. - Mengmeng Ge, Jin-Hee Cho, Bilal Ishfaq, Dong Seong Kim:
Modeling and Analysis of Integrated Proactive Defense Mechanisms for Internet-of-Things. - Jin Hyeok Yoo, SeongHyeon Park, Jun Won Choi:
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. - Nao Mishima, Tatsuo Kozakaya, Akihisa Moriya, Ryuzo Okada, Shinsaku Hiura:
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network. - Robert Altmann, Patrick Henning, Daniel Peterseim:
The J-method for the Gross-Pitaevskii eigenvalue problem. - Eleni Michailidi, Ioannis A. Skordas, Maria Papatsimouli, Lazaros Lazaridis, Heracles Michailidis, Stavroula Tavoultzidou, George F. Fragulis:
GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue. - Ioannis T. Christou:
Popt4jlib: A Parallel/Distributed Optimization Library for Java. - Daniel Omeiza:
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa. - Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis E. H. Tay, Jiashi Feng:
Central Similarity Hashing via Hadamard matrix. - Jean Cardinal, Aurélien Ooms:
Sparse Regression via Range Counting. - Guido Brückner, Markus Himmel, Ignaz Rutter:
An SPQR-Tree-Like Embedding Representation for Upward Planarity. - Dan Teng, Sakyasingha Dasgupta:
Continual Learning via Online Leverage Score Sampling. - Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Gale Yan Huang:
Dolphin: A Verbal Fluency Evaluation System for Elementary Education. - Ludovic Chamoin, Frédéric Legoll:
Goal-oriented error estimation and adaptivity in MsFEM computations. - Dingquan Li, Tingting Jiang, Ming Jiang:
Quality Assessment of In-the-Wild Videos. - Sebastian Cmentowski, Andrey Krekhov, Jens H. Krüger:
Outstanding: A Multi-Perspective Travel Approach for Virtual Reality Games. - Zhuo Li, Keyou You, Shiji Song, Anke Xue:
Optimization-based Control for Bearing-only Target Search with a Mobile Vehicle. - Sergey P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, Anna E. Andreychenko, Nicholas S. Kulberg, V. A. Gombolevsky:
Clinical acceptance of software based on artificial intelligence technologies (radiology). - Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang:
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion. - Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. - Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt:
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures. - Nicolò Ruggeri, Caterina De Bacco:
Sampling on networks: estimating eigenvector centrality on incomplete graphs. - Minkesh Asati, Worranitta Kraisittipong, Taizo Miyachi:
Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN. - Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda, Álvaro Porras:
EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization. - Yating Wei, Honghui Mei, Ying Zhao, Shuyue Zhou, Bingru Lin, Haojing Jiang, Wei Chen:
Evaluating Perceptual Bias During Geometric Scaling of Scatterplots. - Holger Ingmar Meinhardt:
Deduction Theorem: The Problematic Nature of Common Practice in Game Theory. - Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung:
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation. - Gonzalo de la Torre-Abaitua, Luis Fernando Lago-Fernández, David Arroyo:
A compression based framework for the detection of anomalies in heterogeneous data sources. - Hui Li, Jiangxing Wu, Xin Yang, Han Wang, Julong Lan, Ke Xu, Yunyong Zhang, Jinwu Wei, Shisheng Chen, Wei Liang, Fusheng Zhu, Yiqin Lu, Wai Ho Mow, Wai-Ho Yeung, Zefeng Zheng, Peng Yi, Xinsheng Ji, Qinrang Liu, Wei Li, Kaiyan Tian, Jiang Zhu, Jiaxing Song, Yijun Liu, Junfeng Ma, Jiawei Hu, Rui Xu, Jiansen Huang, Guohua Wei, Jiuhua Qi, Ting Huang, Kaixuan Xing:
MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network. - Derek G. Bridge, Mesut Kaya, Pablo Castells:
Sudden Death: A New Way to Compare Recommendation Diversification. - Jing Li, Alexandre M. Tartakovsky:
Gaussian Process Regression and Conditional Polynomial Chaos for Parameter Estimation. - Georgia Avarikioti, Lukas Kaeppeli, Yuyi Wang, Roger Wattenhofer:
Bitcoin Security under Temporary Dishonest Majority. - Georgia Avarikioti, Kenan Besic, Yuyi Wang, Roger Wattenhofer:
Online Payment Network Design. - Georgia Avarikioti, Rolf Scheuner, Roger Wattenhofer:
Payment Networks as Creation Games. - Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez:
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images. - Luís Caires, Bernardo Toninho:
Refinement Kinds: Type-safe Programming with Practical Type-level Computation (Extended Version). - Nicolas Marchal, Charlotte Moraldo, Roland Siegwart, Hermann Blum, Cesar Cadena, Abel Gawel:
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes. - Jacob Harer, Christopher P. Reale, Peter Chin:
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data. - Abdullo Rakhmonovich Hayotov, Rashidjon G. Rasulov:
The order of convergence of an optimal quadrature formula with derivative in the space W2(2, 1). - Alexandre M. Ribeiro, Alexandra Moutinho, André R. Fioravanti, Ely Carneiro de Paiva:
Estimation of Tire-Road Friction for Autonomous Vehicles: a Neural Network Approach. - Jack Bandy, Nicholas Diakopoulos:
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News. - Igor Vasiljevic, Nicholas I. Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich:
DIODE: A Dense Indoor and Outdoor DEpth Dataset. - Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang, Gerhard Weikum:
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. - Prosper Torsu:
On variational iterative methods for semilinear problems. - Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li:
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis. - Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen:
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. - HungYueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu:
A Unified Point-Based Framework for 3D Segmentation. - Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda:
How Can Smart Buildings Be Price-Responsive? - Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang:
Learning to Adapt Invariance in Memory for Person Re-identification. - Konrad K. Dabrowski, Carl Feghali, Matthew Johnson, Giacomo Paesani, Daniël Paulusma, Pawel Rzazewski:
On Cycle Transversals and Their Connected Variants in the Absence of a Small Linear Forest. - Mohamed El-Geish:
Learning Joint Acoustic-Phonetic Word Embeddings. - Georg Regal, David Sellitsch, Elke E. Mattheiss, Manfred Tscheligi:
POINTS - Playful objects for inclusive, personalized movement games. - Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. - David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. - Ting Li, Xianshi Yu, Bing-Yi Jing:
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient. - Michelle Valente, Cyril Joly, Arnaud de La Fortelle:
Deep Sensor Fusion for Real-Time Odometry Estimation. - Dung T. Phan, Nicola Paoletti, Radu Grosu, Nils Jansen, Scott A. Smolka, Scott D. Stoller:
Neural Simplex Architecture. - Ziran Wang, Yuan-Pu Hsu, Alexander Vu, Francisco Caballero, Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Aravind Kailas, Pascal Amar, Eddie Garmon, Sandeep Tanugula:
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System. - Kyle Wm. Hall, Adam James Bradley, Uta Hinrichs, Samuel Huron, Jo Wood, Christopher Collins, Sheelagh Carpendale:
Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations. - J. Ian Munro, Richard Peng, Sebastian Wild, Lingyi Zhang:
Dynamic Optimality Refuted - For Tournament Heaps. - Zhouqiao Zhao, Ziran Wang, Guoyuan Wu, Fei Ye, Matthew J. Barth:
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions. - Tamir Bendory, Alberto Bartesaghi, Amit Singer:
Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities. - Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructureNet: Hierarchical Graph Networks for 3D Shape Generation. - Matthias Miller, Xuan Zhang, Johannes Fuchs, Michael Blumenschein:
Evaluating Ordering Strategies of Star Glyph Axes. - Jorge A. Wagner Filho, Wolfgang Stuerzlinger, Luciana P. Nedel:
Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration. - Lindsey Sawatzky, Steven Bergner, Fred Popowich:
Visualizing RNN States with Predictive Semantic Encodings. - Gustavo Betarte, Maximiliano Cristiá, Carlos Luna, Adrián Silveira, Dante Zanarini:
Set-Based Models for Cryptocurrency Software. - Talha Ongun, Oliver Spohngellert, Alina Oprea, Cristina Nita-Rotaru, Mihai Christodorescu, Negin Salajegheh:
The House That Knows You: User Authentication Based on IoT Data. - Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari:
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. - Gonzalo Gabriel Méndez, Jagoda Walny, Søren Knudsen, Charles Perin, Samuel Huron, Jo Vermeulen, Richard Pusch, Sheelagh Carpendale:
ReConstructor: A Scalable Constructive Visualization Tool. - Daniel Weiskopf:
Vis4Vis: Visualization for (Empirical) Visualization Research. - David N. Palacio, Daniel McCrystal, Kevin Moran, Carlos Bernal-Cárdenas, Denys Poshyvanyk, Chris Shenefiel:
Learning to Identify Security-Related Issues Using Convolutional Neural Networks. - Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A self-organizing fuzzy neural network for sequence learning. - Stephen Smart, Keke Wu, Danielle Albers Szafir:
Color Crafting: Automating the Construction of Designer Quality Color Ramps. - Stephen Redmond:
Visual cues in estimation of part-to-whole comparison. - Andrew Adamatzky, Michail-Antisthenis I. Tsompanas, Thomas C. Draper, Richard Mayne:
Liquid Marble Photosensor. - Conner DiPaolo, Weiqing Gu:
A Randomized Algorithm for Preconditioner Selection. - Hanen Akouaydi, Sourour Njah, Wael Ouarda, Anis Samet, Thameur Dhieb, Mourad Zaied, Adel M. Alimi:
Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition. - Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Black-box Adversarial ML Attack on Modulation Classification. - Yuqi Cui, Dongrui Wu:
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks. - Sacha Sokoloski, Ruben Coen Cagli:
Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations. - Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. - Hallie Dunham, Dylan Cutler, Sakshi Mishra, Xiangkun Li:
Evaluation of Centralized and Distributed Microgrid Topologies Considering Power Quality Constraints. - Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle M. Massart:
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition. - Amine Trabelsi, Osmar R. Zaïane:
Contrastive Reasons Detection and Clustering from Online Polarized Debate. - Fredrik Hellman, Tim Keil, Axel Målqvist:
Numerical upscaling of perturbed diffusion problems. - Victoria G. Crawford, Alan Kuhnle, My T. Thai:
Submodular Cost Submodular Cover with an Approximate Oracle. - Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein:
Robust Deep Sensing Through Transfer Learning in Cognitive Radio. - Amira Chalbi, Jacob Ritchie, Deokgun Park, Jungu Choi, Nicolas Roussel, Niklas Elmqvist, Fanny Chevalier:
Common Fate for Animated Transitions in Visualization. - Yalong Yang:
Visualising Geographically-Embedded Origin-Destination Flows: in 2D and immersive environments. - George W. Jackson Jr., Shawon Rahman:
Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT). - Alex Yang, Charlie T. Veal, Derek T. Anderson, Grant J. Scott:
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. - Jieqiong Zhao, Morteza Karimzadeh, Ali Masjedi, Taojun Wang, Xiwen Zhang, Melba M. Crawford, David S. Ebert:
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images. - Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. - Fangyuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu:
Hybrid Low-order and Higher-order Graph Convolutional Networks. - Allen Ibiapina, Ana Silva:
b-continuity and Partial Grundy Coloring of graphs with large girth. - Bahador Saket, Samuel Huron, Charles Perin, Alex Endert:
Investigating Direct Manipulation of Graphical Encodings as a Method for User Interaction. - Matt Whitlock, Keke Wu, Danielle Szafir:
Designing for Mobile and Immersive Visual Analytics in the Field. - Bowen Yu, Cláudio T. Silva:
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System. - Farhad Pourkamali-Anaraki:
Large-Scale Sparse Subspace Clustering Using Landmarks. - Di Tang, Xiaofeng Wang, Haixu Tang, Kehuan Zhang:
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection. - Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He:
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies. - Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. - Tao Hu, Lichao Huang, Xianming Liu, Han Shen:
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network. - Neil K. Chada, Claudia Schillings, Simon Weissmann:
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. - Robert Müller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium, Claudia Linnhoff-Popien:
Soccer Team Vectors. - Qianqian Tong, Guannan Liang, Jinbo Bi:
Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. - Ankur A. Kulkarni:
The Efficiency of Generalized Nash and Variational Equilibria. - Junge Wang, Bofeng Yuan, Lexiang Huang, Syed Ali Jafar:
GDoF of Interference Channel with Limited Cooperation under Finite Precision CSIT. - Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas:
Greedy AutoAugment. - Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian:
AdvGAN++ : Harnessing latent layers for adversary generation. - Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. - Mao-Ching Chiu:
Interleaved Polar (I-Polar) Codes. - Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A Survey of the State-of-the-Art. - Vinay Kumar V, P. Nagabhushan:
Monitoring of people entering and exiting private areas using Computer Vision. - Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. - Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. - Sebastian Franz:
Continuous time integration for changing time systems. - Jingxuan Jiang, Chundong Wang, Sudipta Chattopadhyay, Wei Zhang:
Road Context-aware Intrusion Detection System for Autonomous Cars. - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. - Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth:
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. - André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations of LVQ models. - Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri:
Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap. - Ryan Shah, Michael McIntee, Shishir Nagaraja, Sahil Bhandary, Prerna Arote, Joy Kuri:
Secure Calibration for High-Assurance IoT: Traceability for Safety Resilience. - Takeshi Iwashita, Senxi Li, Takeshi Fukaya:
Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method. - Pablo V. A. Barros, Stefan Wermter, Alessandra Sciutti:
Towards Learning How to Properly Play UNO with the iCub Robot. - Alexander A. Semenov:
Merging variables: one technique of search in pseudo-Boolean optimization. - Peng Yang, Feng Liu, Zhaojian Wang, Chen Shen, Jun Yi, Weifang Lin:
Toward Distributed Stability Analytics for Power Systems with Heterogeneous Bus Dynamics. - Abon Chaudhuri:
A Visual Technique to Analyze Flow of Information in a Machine Learning System. - Ninnart Fuengfusin, Hakaru Tamukoh:
Network with Sub-Networks. - Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang:
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking. - Larissa de O. Penteado, Mateus Riva, Roberto M. Cesar Jr.:
A Structural Graph-Based Method for MRI Analysis. - Álvaro Porras, Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda:
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty. - Mario Kapl, Vito Vitrih:
Isogeometric collocation on planar multi-patch domains. - Peng-Cheng Lin, Wan-Lei Zhao:
On the Merge of k-NN Graph. - Yao Yue, Lihong Feng, Peter Benner:
An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. - Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy:
Learning Lightweight Lane Detection CNNs by Self Attention Distillation. - Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany:
A Hierarchical Bayesian Model for Size Recommendation in Fashion. - Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
The Technical Debt Dataset. - Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy:
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. - Richard Cole, Yixin Tao:
Balancing the Robustness and Convergence of Tatonnement. - Prosenjit Bose, Jean Cardinal, John Iacono, Grigorios Koumoutsos, Stefan Langerman:
Competitive Online Search Trees on Trees. - Ahmad AlAmmouri, Jianhua Mo, Boon Loong Ng, Jianzhong Charlie Zhang, Jeffrey G. Andrews:
Grip-Aware Analog mmWave Beam Codebook Adaptation for 5G Mobile Handsets. - Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. - Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. - Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla:
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. - Will Price, Dima Damen:
An Evaluation of Action Recognition Models on EPIC-Kitchens. - Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta:
Machine Learning as Ecology. - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Bayesian Persuasion with Sequential Games. - Donsub Rim:
Exact and Fast Inversion of the Approximate Discrete Radon Transform. - Santiago Badia, Alberto F. Martín:
A tutorial-driven introduction to the parallel finite element library FEMPAR v1.0.0. - Rui Fan, Umar Özgünalp, Brett Hosking, Ming Liu, Ioannis Pitas:
Pothole Detection Based on Disparity Transformation and Road Surface Modeling. - Roly Perera:
The meaning of a program change is a change to the program's meaning. - J. Farley Norman, James T. Todd, Flip Phillips:
Effects of Illumination on the Categorization of Shiny Materials. - Jessica Magallanes, Lindsey van Gemeren, Steven Wood, Maria-Cruz Villa-Uriol:
Analyzing Time Attributes in Temporal Event Sequences. - Hannes Uecker:
User guide on Hopf bifurcation and time periodic orbits with pde2path. - Sandeep Nallan Chakravarthula, Haoqi Li, Shao-Yen Tseng, Maija Reblin, Panayiotis G. Georgiou:
Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language. - Selim Engin, Volkan Isler:
Asynchronous Network Formation in Unknown Unbounded Environments. - Dominik Machácek, Jonás Kratochvíl, Tereza Vojtechová, Ondrej Bojar:
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts. - Matej Krpan, Igor Kuzle:
Accurate Model of a Supercapacitor Bank for Power System Dynamics Studies. - Philipp M. Scholl, Benjamin Völker, Bernd Becker, Kristof Van Laerhoven:
A Multi-Media Exchange Format for Time-Series Dataset Curation. - Loïc Lesavre, Priam Varin, Peter Mell, Michael Davidson, James M. Shook:
A Taxonomic Approach to Understanding Emerging Blockchain Identity Management Systems. - Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert:
Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances. - Tahmida Mahmud, Mohammad Billah, Mahmudul Hasan, Amit K. Roy-Chowdhury:
Captioning Near-Future Activity Sequences. - Stefan Lattner, Maarten Grachten:
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. - Soheil Abbasloo, H. Jonathan Chao:
Bounding Queue Delay in Cellular Networks to Support Ultra-Low Latency Applications. - Payam Delgosha, Venkat Anantharam:
A Notion of Entropy for Stochastic Processes on Marked Rooted Graphs. - Chun-An Chou, Qingtao Cao, Shao-Jen Weng, Che-Hung Tsai:
Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer. - David T. Hoffmann, Dimitrios Tzionas, Michael J. Black, Siyu Tang:
Learning to Train with Synthetic Humans. - Francesco Ferrante, Yongqiang Wang:
Robust Almost Global Splay State Stabilization of Pulse Coupled Oscillators. - Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A local direct method for module identification in dynamic networks with correlated noise. - Elisabeth Lex, Dominik Kowald:
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. - Andreas Brandstädt, Raffaele Mosca:
Finding Dominating Induced Matchings in P9-Free Graphs in Polynomial Time. - Sakib Mahmud Khan, Mashrur Chowdhury:
Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections. - Xinliang Zhang, Yue Qi, Mojtaba Vaezi:
A Rotation-based Method for Precoding in Gaussian MIMOME Channels. - Paul Houston, Sarah Roggendorf, Kristoffer G. van der Zee:
Eliminating Gibbs Phenomena: A Non-linear Petrov-Galerkin Method for the Convection-Diffusion-Reaction Equation. - Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan:
Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. - Fan-Yun Sun, Jordan Hoffmann, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. - Jianhua Mo, Boon Loong Ng, SangHyun Chang, Pengda Huang, Mandar N. Kulkarni, Ahmad AlAmmouri, Jianzhong Charlie Zhang, Jeongheum Lee, Won-Joon Choi:
Beam Codebook Design for 5G mmWave Terminals. - Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. - Xiangju Qin, Paul Blomstedt, Samuel Kaski:
Scalable Bayesian Non-linear Matrix Completion. - Eric Blais, Joshua Brody:
Optimal Separation and Strong Direct Sum for Randomized Query Complexity. - Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer:
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. - Firat Cakir, Andrew J. Christlieb, Yan Jiang:
A Kernel Based High Order "Explicit" Unconditionally Stable Constrained Transport Method for Ideal Magnetohydrodynamics. - Cynthia L. Bennett, Os Keyes:
What is the Point of Fairness? Disability, AI and The Complexity of Justice. - Weifeng Zhao, Juntao Huang:
Boundary treatment of implicit-explicit Runge-Kutta method for hyperbolic systems with source terms. - Victoria G. Crawford:
An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. - Adam Gudys, Marek Sikora, Lukasz Wróbel:
RuleKit: A Comprehensive Suite for Rule-Based Learning. - Katie A. Siek, Tiffany C. Veinot, Beth Mynatt:
Research Opportunities in Sociotechnical Interventions for Health Disparity Reduction. - Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. - Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. - Marcin Radzio, Maciej Wielgosz, Matej Mertik:
Falls Prediction in eldery people using Gated Recurrent Units. - Masarah Paquet-Clouston, Matteo Romiti, Bernhard Haslhofer, Thomas Charvat:
Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem. - Gabrielle Kaili-May Liu:
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning. - Daniel Rogozin:
Quantale semantics of Lambek calculus with subexponential modalities. - Tsong-Ming Liaw, Simon C. Lin:
A General Theory of Concept Lattice (I): Emergence of General Concept Lattice. - Asma Balamane, Zina Taklit:
Proposition d'un modèle pour l'optimisation automatique de boucles dans le compilateur Tiramisu : cas d'optimisation de déroulage. - Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen:
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation. - Xinjian Li, Siddharth Dalmia, Alan W. Black, Florian Metze:
Multilingual Speech Recognition with Corpus Relatedness Sampling. - Martin Strohmeier, Matthew Smith, Vincent Lenders, Ivan Martinovic:
Classi-Fly: Inferring Aircraft Categories from Open Data. - Xinjian Li, Zhong Zhou, Siddharth Dalmia, Alan W. Black, Florian Metze:
SANTLR: Speech Annotation Toolkit for Low Resource Languages. - Brian Teixeira, Birgi Tamersoy, Vivek K. Singh, Ankur Kapoor:
Adaloss: Adaptive Loss Function for Landmark Localization. - Adrienn Dineva, Amir Mosavi, Mate Gyimesi, István Vajda:
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines. - Sanidhya Mangal, Rahul Modak, Poorva Joshi:
LSTM Based Music Generation System. - Nesreen K. Ahmed, Nick Duffield:
Network Shrinkage Estimation. - Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas:
Path Length Bounds for Gradient Descent and Flow. - Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. - Cumhur Erkan Tuncali, Georgios Fainekos, Danil V. Prokhorov, Hisahiro Ito, James Kapinski:
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components. - Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. - Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. - Ningyuan Chen, Guillermo Gallego, Zhuodong Tang:
The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models. - Dan Wu, Bin Wang:
Influence of Load Models on Equilibria, Stability and Algebraic Manifolds of Power System Differential-Algebraic System. - Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang:
ABD-Net: Attentive but Diverse Person Re-Identification. - Rahul Singh, Gopal Krishna Kamath, P. R. Kumar:
Optimal Information Updating based on Value of Information. - Kaveh Dehghanpour, Yuxuan Yuan, Fankun Bu, Zhaoyu Wang:
Statistical Dynamic Modeling of Networked DERs for Assessing and Mitigating Risk of Cascading Tripping Events in Distribution Grids. - Ardavan Bidgoli, Eunsu Kang, Daniel Cardoso Llach:
Machinic Surrogates: Human-Machine Relationships in Computational Creativity. - Simina Brânzei, Yuval Peres:
Multiplayer Bandit Learning, from Competition to Cooperation. - Yang Liu, Baoli Yin, Hong Li, Zhimin Zhang:
The unified theory of shifted convolution quadrature for fractional calculus. - Paul Gastin:
Modular Descriptions of Regular Functions. - Wentai Wu, Ligang He, Weiwei Lin:
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. - Sudeb Majee, Rajendra K. Ray, Ananta K. Majee:
A Gray Level Indicator-Based Regularized Telegraph Diffusion Equation Applied to Image Despeckling. - Narges Mehran, Dragi Kimovski, Radu Prodan:
MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment. - Rihab Abdul Razak, Srikant Sukumar, Hoam Chung:
Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors. - Akshay Chaturvedi, Abijith KP, Utpal Garain:
Invariance-based Adversarial Attack on Neural Machine Translation Systems. - Amar Ranjan Dash, Sandipta Kumar Sahu, B. Kewal:
An Optimized Disk Scheduling Algorithm With Bad-Sector Management. - Xiaolei Fang, Meiqing Liu, Jinquan Luo:
On Euclidean Hulls of MDS Codes. - Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition. - Frances Y. Kuo, Giovanni Migliorati, Fabio Nobile, Dirk Nuyens:
Function integration, reconstruction and approximation using rank-1 lattices. - Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li:
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization. - Cristina Bazgan, Stefan Ruzika, Clemens Thielen, Daniel Vanderpooten:
The Power of the Weighted Sum Scalarization for Approximating Multiobjective Optimization Problems. - Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis:
Dependence Control for Reliability Optimization in Vehicular Networks. - Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin, Utku Aktas, Sinan Kalkan:
Searching for Ambiguous Objects in Videos using Relational Referring Expressions. - Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà:
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation. - Behrooz Tahmasebi, Mohammad Ali Maddah-Ali:
Private Sequential Function Computation. - Srijan Kumar, Xikun Zhang, Jure Leskovec:
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. - Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. - David Matthews, Sam Kriegman, Collin Cappelle, Josh C. Bongard:
Word2vec to behavior: morphology facilitates the grounding of language in machines. - Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang:
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks. - Dekel Tsur:
Faster algorithms for cograph edge modification problems. - Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam:
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models. - Nirandika Wanigasekara, Christina Lee Yu:
Nonparametric Contextual Bandits in an Unknown Metric Space. - Pablo Arrighi, Giuseppe Di Molfetta, Nathanaël Eon:
Non-Abelian Gauge-Invariant Cellular Automata. - Victoria G. Crawford, Alan Kuhnle:
Fast Evolutionary Algorithms for Maximization of Cardinality-Constrained Weakly Submodular Functions. - Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao:
A hierarchical neural hybrid method for failure probability estimation. - Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan:
Learning Guided Convolutional Network for Depth Completion. - Devavrat Shah, Christina Lee Yu:
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. - Vinay Uday Prabhu:
Kannada-MNIST: A new handwritten digits dataset for the Kannada language. - Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh, Hamed Tabkhi:
Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters. - Ben Adcock, Juan M. Cardenas:
Optimal sampling strategies for multivariate function approximation on general domains. - Xilai Li, Wei Sun, Tianfu Wu:
Attentive Normalization. - Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu:
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. - Yan Wang, Peng Jia, Luping Liu, Jiayong Liu:
A systematic review of fuzzing based on machine learning techniques. - Taher Mun, Alan Kuhnle, Christina Boucher, Travis Gagie, Ben Langmead, Giovanni Manzini:
Matching reads to many genomes with the r-index. - Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. - Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. - Linda Woodburn, Yalong Yang, Kim Marriott:
Interactive Visualisation of Hierarchical Quantitative Data: an Evaluation. - Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang:
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. - Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares, Mamtaz Uddin, Oya Beyan, Stefan Decker:
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. - Ellen R. Novoseller, Yanan Sui, Yisong Yue, Joel W. Burdick:
Dueling Posterior Sampling for Preference-Based Reinforcement Learning. - Lehel Banjai, María López-Fernández:
The numerical approximation of the Schrödinger equation with concentrated potential. - Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé:
To Learn or Not to Learn: Visual Localization from Essential Matrices. - Chanatip Saetia, Ekapol Chuangsuwanich, Tawunrat Chalothorn, Peerapon Vateekul:
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
The General Black-box Attack Method for Graph Neural Networks. - Xiaoli Xu, Yong Zeng, Yonghui Li, Branka Vucetic:
Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms. - Sairaam Venkatraman, S. Balasubramanian, R. Raghunatha Sarma:
Building Deep, Equivariant Capsule Networks. - Yixuan Liu, Yuwang Wang, Shengjin Wang:
Adversarial View-Consistent Learning for Monocular Depth Estimation. - Shaojie Qu, Kan Li, Zheyi Fan, Sisi Wu, Xinyi Liu, Zhiguo Huang:
Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs. - Gengyun Jia, Peipei Li, Ran He:
Theme Aware Aesthetic Distribution Prediction with Full Resolution Photos. - Denis N. Sidorov, Ildar Muftahov, Nikita V. Tomin, Dmitriy Karamov, Daniil A. Panasetsky, Aliona Dreglea, Fang Liu, Aoife Foley:
A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations. - Chenyang Lei, Qifeng Chen:
Fully Automatic Video Colorization with Self-Regularization and Diversity. - Huaxi Huang, Junjie Zhang, Jian Zhang, Jingsong Xu, Qiang Wu:
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. - Xiangxiang Chu, Bo Zhang, Ruijun Xu:
MoGA: Searching Beyond MobileNetV3. - Sergio Cabello:
Computing the inverse geodesic length in planar graphs and graphs of bounded treewidth. - Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao:
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. - Andreas Tiemeyer, Tom Melham, Daniel Kroening, John O'Leary:
CREST: Hardware Formal Verification with ANSI-C Reference Specifications. - Chang-Ock Lee, Jongho Park:
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. - Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. - Haoyue Tang, Jintao Wang, Linqi Song, Jian Song:
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. - Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg:
A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark. - Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai:
SF-Net: Structured Feature Network for Continuous Sign Language Recognition. - Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu:
Semi-supervised representation learning via dual autoencoders for domain adaptation. - Mahmoud Masadeh, Osman Hasan, Sofiène Tahar:
Error Analysis of Approximate Array Multipliers. - Lesandro Ponciano, Thiago Emmanuel Pereira:
Characterising Volunteers' Task Execution Patterns Across Projects on Multi-Project Citizen Science Platforms. - Rodrigo Rebouças de Almeida:
Business-Driven Technical Debt Prioritization. - Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay:
JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English. - Dimitrios Matthes, Vasileios Drakopoulos:
Another Simple but Faster Method for 2D Line Clipping. - Atri Mandal, Shivali Agarwal, Nikhil Malhotra, Giriprasad Sridhara, Anupama Ray, Daivik Swarup:
Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis. - Jisun An, Haewoon Kwak:
Gender and Racial Diversity in Commercial Brands' Advertising Images on Social Media. - Johan Bos:
Separating Argument Structure from Logical Structure in AMR. - Tasneem Assaf, Arafat Al-Dweik, Mohamed Shawky El Moursi, Hatem H. Zeineldin:
Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-m Fading Channels. - Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie:
ASNets: Deep Learning for Generalised Planning. - Xiaochuan Yin, Chengju Liu:
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space. - Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa:
Image-Guided Depth Sampling and Reconstruction. - Thomas Stastny, Roland Siegwart:
On Flying Backwards: Preventing Run-away of Small, Low-speed, Fixed-wing UAVs in Strong Winds. - Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. - Yu Zhu, Michael T. Schaub, Ali Jadbabaie, Santiago Segarra:
Network Inference from Consensus Dynamics with Unknown Parameters. - Andrea Schioppa:
Learning to Transport with Neural Networks. - Yi Zheng, Qitong Wang, Margrit Betke:
Deep Neural Network for Semantic-based Text Recognition in Images. - Qiao Kang, Lei Xue, Adam Morrison, Yuxin Tang, Ang Chen, Xiapu Luo:
Programmable In-Network Security for Context-aware BYOD Policies. - Carl Yang, Aydin Buluç, John D. Owens:
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. - Alexander Zook, Eric Fruchter, Mark O. Riedl:
Automatic Playtesting for Game Parameter Tuning via Active Learning. - Alexander Zook, Mark O. Riedl:
Automatic Game Design via Mechanic Generation. - Hossein K. Mousavi, Nader Motee:
Explicit Characterization of Performance of a Class of Networked Linear Control Systems. - Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. - Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabás Póczos, Jeff Schneider, Eric P. Xing:
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations. - Rutger Kraaijer, Marc J. van Kreveld, Wouter Meulemans, André van Renssen:
Geometry and Generation of a New Graph Planarity Game. - Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Inference of visual field test performance from OCT volumes using deep learning. - Kazuo Misue, Katsuya Akasaka:
Graph Drawing with Morphing Partial Edges. - Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. - Andrew Kae, Yale Song:
Image to Video Domain Adaptation Using Web Supervision. - Guoxing Yu, Yongtao Hu, Jingwen Dai:
TopoTag: A Robust and Scalable Topological Fiducial Marker System. - A. Torres-Hernandez, F. Brambila-Paz:
Fractional Newton's Method and Some Variants for the Solution of Nonlinear Systems. - Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari:
V2S attack: building DNN-based voice conversion from automatic speaker verification. - Jelle Hellings, Mohammad Sadoghi:
The fault-tolerant cluster-sending problem. - Md Yasin Kabir, Sanjay Madria:
A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management. - Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang:
Learning to Generalize to Unseen Tasks with Bilevel Optimization. - Suyash Gupta, Jelle Hellings, Mohammad Sadoghi:
Revisiting consensus protocols through wait-free parallelization. - Praful D. Mankar, Harpreet S. Dhillon:
Downlink Analysis of NOMA-enabled Cellular Networks with 3GPP-inspired User Ranking. - Mohammadamin Baniasadi, Ertem Tuncel:
Minimum Energy for Gaussian Joint source-channel Coding with a Square-law Distortion-Noise Profile. - Sugandha Tiwari, Neel Gala, Chester Rebeiro, V. Kamakoti:
PERI: A Posit Enabled RISC-V Core. - Dang Duy Thang, Toshihiro Matsui:
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve. - Liming Ma, Chaoping Xing:
Constructive asymptotic bounds of locally repairable codes via function fields. - Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh:
Fuzzy informer homed routing protocol for wireless sensor network. - Mohammad Ghafari, Markus Eggiman, Oscar Nierstrasz:
Testability First! - Haibao Yu, Tuopu Wen, Guangliang Cheng, Jiankai Sun, Qi Han, Jianping Shi:
GDRQ: Group-based Distribution Reshaping for Quantization. - Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo, Chun-Yi Lee:
Construction of Macro Actions for Deep Reinforcement Learning. - Juncheng Li, Siliang Tang, Fei Wu, Yueting Zhuang:
Walking with MIND: Mental Imagery eNhanceD Embodied QA. - Wenkang Su, Jiangqun Ni, Yuanfeng Pan, Xianglei Hu, Yun-Qing Shi:
Image Steganography using Gaussian Markov Random Field Model. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Stefan Krüger, Eric Bodden, Oscar Nierstrasz:
The Impact of Developer Experience in Using Java Cryptography. - Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu:
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. - Natalia Soboleva, Konstantin S. Yakovlev:
GAN Path Finder: Preliminary results. - Francis Lee, Carter T. Butts:
Incorporating Structural Stigma into Network Analysis. - Steve Counsell, Mahir Arzoky, Giuseppe Destefanis, Davide Taibi:
On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint. - Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi:
An Empirical Study on Technical Debt in a Finnish SME. - Onur Ayan, Mikhail Vilgelm, Wolfgang Kellerer:
Optimal Scheduling for Discounted Age Penalty Minimization in Multi-Loop Networked Control. - Weilin Wan, Aaron Walsman, Dieter Fox:
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks. - Hiroki Tanioka:
A Fast Content-Based Image Retrieval Method Using Deep Visual Features. - Dina Bashkirova, Ben Usman, Kate Saenko:
Adversarial Self-Defense for Cycle-Consistent GANs. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Beyond English-only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian. - Raoul de Charette, Sotiris Manitsaris:
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction. - Andrea Araldo, Alessandro Di Stefano, Antonella Di Stefano:
EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants. - Xiaolu Li, Zuoru Yang, Jinhong Li, Runhui Li, Patrick P. C. Lee, Qun Huang, Yuchong Hu:
Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation. - Till Blume, Ansgar Scherp:
FLuID: A Meta Model to Flexibly Define Schema-level Indices for the Web of Data. - Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. - Liam Hiley, Alun D. Preece, Yulia Hicks, A. David Marshall, Harrison Taylor:
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition. - Michele Colledanchise, Lorenzo Natale:
Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees. - Alex Denisov, Stanislav Pankevich:
Mull it over: mutation testing based on LLVM. - Liangming Chen, Ming Cao, Chuanjiang Li:
Angle rigidity and its usage to stabilize planar formations. - Mathilde Ollivier, Sébastien Bardin, Richard Bonichon, Jean-Yves Marion:
How to Kill Symbolic Deobfuscation for Free; or Unleashing the Potential of Path-Oriented Protections. - Lea Schönherr, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa:
Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems. - Radu Stefan Mincu:
Heuristic Algorithm for Generalized Function Matching. - Oleg Davydov:
Selection of Sparse Sets of Influence for Meshless Finite Difference Methods. - Yuntao Chen, Chenxia Han, Naiyan Wang, Zhaoxiang Zhang:
Revisiting Feature Alignment for One-stage Object Detection. - Patrik Jansson, Sólrún Halla Einarsdóttir, Cezar Ionescu:
Examples and Results from a BSc-level Course on Domain Specific Languages of Mathematics. 79-90 - Kurt Wan-Duo Ma, J. P. Lewis, W. Bastiaan Kleijn:
The HSIC Bottleneck: Deep Learning without Back-Propagation. - Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang:
Knowledge Isomorphism between Neural Networks. - Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran, Fazal Masud Kundi, Shahaboddin Shamshirband, Amir Mosavi, Peter Csiba, Annamária R. Várkonyi-Kóczy:
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. - Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Timo Welti:
Solving high-dimensional optimal stopping problems using deep learning. - Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. - Paul J. Goulart, Yuji Nakatsukasa, Nikitas Rontsis:
Accuracy of approximate projection to the semidefinite cone. - Federico Clazzer, Balázs Matuz, Sachini Jayasooriya, Mahyar Shirvanimoghaddam, Sarah J. Johnson:
Protograph LDPC Code Design for Asynchronous Random Access. - Tobias Klamt, Max Schwarz, Christian Lenz, Lorenzo Baccelliere, Domenico Buongiorno, Torben Cichon, Antonio Di Guardo, David Droeschel, Massimiliano Gabardi, Malgorzata Kamedula, Navvab Kashiri, Arturo Laurenzi, Daniele Leonardis, Luca Muratore, Dmytro Pavlichenko, Arul Selvam Periyasamy, Diego Rodriguez, Massimiliano Solazzi, Antonio Frisoli, Michael Gustmann, Jürgen Roßmann, Uwe Süss, Nikos G. Tsagarakis, Sven Behnke:
Remote Mobile Manipulation with the Centauro Robot: Full-body Telepresence and Autonomous Operator Assistance. - Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez:
Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction. - Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha:
Modeling Event Propagation via Graph Biased Temporal Point Process. - Marc Hartung, Florian Schintke:
Learned Clause Minimization in Parallel SAT Solvers. - Luis Miranda, Guido Schillaci:
An adaptive architecture for portability of greenhouse models. - Sihem Mesnager, Yanfeng Qi, Hongming Ru, Chunming Tang:
Minimal linear codes from characteristic functions. - Yang Yan, Lanlan Su, Vijay Gupta, Panos J. Antsaklis:
Analysis of Two-Dimensional Feedback Systems over Networks Using Dissipativity. - Simone Disabato, Manuel Roveri, Cesare Alippi:
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. - Mihir Sahasrabudhe, Siddhartha Chandra:
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. - Oluwole I. Ajala, Miznah Alshammary, Mai Alzamel, Jia Gao, Costas S. Iliopoulos, Jakub Radoszewski, Wojciech Rytter, Bruce W. Watson:
On the cyclic regularities of strings. - Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia:
Predicting Actions to Help Predict Translations. - Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. - Fedor Sandomirskiy, Erel Segal-Halevi:
Fair Division with Minimal Sharing. - Alice Baird, Björn W. Schuller:
Presenting the Acoustic Sounds for Wellbeing Dataset and Baseline Classification Results. - Chen Wang, Chengyuan Deng, Suzhen Wang:
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost. - Diogo da Silva Magalhães Gomes, Alexandre Gonçalves Evsukoff:
Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás. - Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. - Hari Prasanna Das, Pieter Abbeel, Costas J. Spanos:
Dimensionality Reduction Flows. - Katharina Kohler, Ari Ercole:
Characterising complex healthcare systems using network science: The small world of emergency surgery. - Koen Holtman:
Corrigibility with Utility Preservation. - Jessica Hullman:
Why Authors Don't Visualize Uncertainty. - David Awad:
Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing. - Boyuan Ma, Xiaojuan Ban, Haiyou Huang, Yu Zhu:
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion. - Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg:
Learning a Unified Embedding for Visual Search at Pinterest. - Nils Bertschinger, Martin Hoefer, Daniel Schmand:
Strategic Payments in Financial Networks. - Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao:
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment. - Van-Dang Nguyen, Massimiliano Leoni, Tamara Dancheva, Johan Jansson, Johan Hoffman, Demian Wassermann, Jing-Rebecca Li:
Portable simulation framework for diffusion MRI. - Saptarshi Banerjee, Arnabi Mitra, Debayan Ganguly, Ritajit Majumdar, Kingshuk Chatterjee:
Innovative ranking strategy for IPL team formation. - Sami Akin, Mustafa Cenk Gursoy:
On the Energy and Data Storage Management in Energy Harvesting Wireless Communications. - Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi:
Scalable Byzantine Reliable Broadcast (Extended Version). - Duc Minh Vo, Akihiro Sugimoto:
Visual-Relation Conscious Image Generation from Structured-Text. - Daniil Osudin, Christopher Child, Yang-Hui He:
Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. - Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu:
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. - Lesia Semenova, Cynthia Rudin:
A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning. - Vít Ruzicka, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer:
The Myths of Our Time: Fake News. - Shengbin Jia, Shijia E, Yang Xiang:
Supervised Neural Models Revitalize the Open Relation Extraction. - Abhinav Muta, Prabhu Ramachandran, Pawan Negi:
Simple Iterative Incompressible Smoothed Particle Hydrodynamics. - Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song:
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. - Joseph Marvin Imperial, Jeyrome Orosco, Shiela Mae Mazo, Lany L. Maceda:
Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks. - Pavel Kraikivski:
Seeding the Singularity for A.I. - (Withdrawn) Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0.
- Sabin Devkota, Abu Reyan Ahmed, Felice De Luca, Kate Isaacs, Stephen G. Kobourov:
Stress-Plus-X (SPX) Graph Layout. - Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti, Nasser M. Nasrabadi:
Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition. - J. Thomas Beale:
Solving Partial Differential Equations on Closed Surfaces with Planar Cartesian Grids. - Xinyi Li, Haibin Ling:
Hybrid Camera Pose Estimation with Online Partitioning. - Darío Garigliotti, Dyaa Albakour, Miguel Martinez, Krisztian Balog:
Unsupervised Context Retrieval for Long-tail Entities. - Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. - Ravikiran Yeleswarapu, Arun K. Somani:
Addressing multiple bit/symbol errors in DRAM subsystem. - Jerry Jinfeng Guo, Elmar Eisemann:
Geometric Sample Reweighting for Monte Carlo Integration. - Gonzalo Navarro, Juan L. Reutter, Javiel Rojas-Ledesma:
Optimal Joins using Compact Data Structures. - Taha Shangipour Ataei, Kamyar Darvishi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi:
Pars-ABSA: An Aspect-based Sentiment Analysis Dataset in Persian. - Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He:
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models. - Naomi Saphra, Adam Lopez:
Sparsity Emerges Naturally in Neural Language Models. - Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. - Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz:
Dialogue Act Classification in Group Chats with DAG-LSTMs. - Mihai Oltean:
Jenny 5 - the robot. - Bilge Sipal, Ozcan Sari, Asena Teke, Nurullah Demirci:
Word Sense Disambiguation using Diffusion Kernel PCA. - M. Zulfiker Ali, Jelena V. Misic, Vojislav B. Misic:
Performance analysis of IEEE 802.11ax heterogeneous network in the presence of hidden terminals. - Chenwei Zhang:
Structured Knowledge Discovery from Massive Text Corpus. - Ping Wang, Tian Shi, Chandan K. Reddy:
A Translate-Edit Model for Natural Language Question to SQL Query Generation on Multi-relational Healthcare Data. - Oluwatobi Olabiyi, Erik T. Mueller:
Multi-turn Dialogue Response Generation with Autoregressive Transformer Models. - Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao:
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. - Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun:
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. - Sangchul Hahn, Heeyoul Choi:
Self-Knowledge Distillation in Natural Language Processing. - Kun Han, Junwen Chen, Hui Zhang, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yulong Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li:
DELTA: A DEep learning based Language Technology plAtform. - Puya Memarzia, Suprio Ray, Virendra C. Bhavsar:
Toward Efficient In-memory Data Analytics on NUMA Systems. - Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano:
Semi-Automatic Labeling for Deep Learning in Robotics. - Alexander Millane, Helen Oleynikova, Juan I. Nieto, Roland Siegwart, César Cadena:
Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps. - Chloe He, Gerard Glowacki, Alexis Gkantiragas:
Unsupervised Representations of Pollen in Bright-Field Microscopy. - Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay:
Local versus Global Strategies in Social Query Expansion. - Xiaofeng Liu, Zhenhua Guo, Jane You, B. V. K. Vijaya Kumar:
Attention Control with Metric Learning Alignment for Image Set-based Recognition. - Arip Asadulaev:
Backronym. - Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Y. Berger-Wolf:
Animal Wildlife Population Estimation Using Social Media Images Collections. - Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang:
Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications. - Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. - Paul M. Zapotezny-Anderson, Chris Lehnert:
Towards Active Robotic Vision in Agriculture: A Deep Learning Approach to Visual Servoing in Occluded and Unstructured Protected Cropping Environments. - Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel:
DoorGym: A Scalable Door Opening Environment And Baseline Agent. - Shouqian Shi, Chen Qian, Ye Yu, Xin Li, Ying Zhang, Xiaozhou Li:
Concury: A Fast and Light-weighted Software Load Balancer. - Koffi Wilfrid Houédanou:
A new unified stabilized mixed finite element method of the Stokes-Darcy coupled problem: Isotropic discretization. - Michael Dinitz, Magnús M. Halldórsson, Calvin Newport, Alex Weaver:
The Capacity of Smartphone Peer-to-Peer Networks. - Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox:
Representing Robot Task Plans as Robust Logical-Dynamical Systems. - Dan S. Wallach:
On the security of ballot marking devices. - Charles B. Delahunt, Mayoore S. Jaiswal, Matthew P. Horning, Samantha Janko, Clay M. Thompson, Sourabh Kulhare, Liming Hu, Travis Ostbye, Grace Yun, Roman Gebrehiwot, Benjamin K. Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell, Courosh Mehanian:
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information. - Nathan Morrical, Will Usher, Ingo Wald, Valerio Pascucci:
Efficient Space Skipping and Adaptive Sampling of Unstructured Volumes Using Hardware Accelerated Ray Tracing. - Ronald Barber, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu:
WiSer: A Highly Available HTAP DBMS for IoT Applications. - Farzaneh Derakhshan, Frank Pfenning:
Circular Proofs as Session-Typed Processes: A Local Validity Condition. - Naoki Shibata:
Blockchain Consensus Formation while Solving Optimization Problems. - Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon, Junghyun Koo, Kyogu Lee:
Adversarially Trained End-to-end Korean Singing Voice Synthesis System. - Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan:
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking. - Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang:
Attract or Distract: Exploit the Margin of Open Set. - Peng Yang, Feng Liu, Zhaojian Wang, Chen Shen:
Distributed Stability Conditions for Power Systems with Heterogeneous Nonlinear Bus Dynamics. - Indranil Jana, Alina Oprea:
AppMine: Behavioral Analytics for Web Application Vulnerability Detection. - Yassmeen Elderhalli, Osman Hasan, Sofiène Tahar:
A Formally Verified HOL Algebra for Dynamic Reliability Block Diagrams. - Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. - Chuanfeng Hu, Hongwei Lin:
Heterogeneous porous scaffold generation in trivariate B-spline solid with triply periodic minimal surface in the parametric domain. - Jerin Geo James, Pranay Agrawal, Ajit Rajwade:
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations. - Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung, Dilek Hakkani-Tür:
Dialog State Tracking: A Neural Reading Comprehension Approach. - Wenkang Su, Jiangqun Ni, Yuanfeng Pan, Xianglei Hu, Qingliang Liu:
An Efficient JPEG Steganographic Scheme Design Using Domain Transformation of Embedding Cost. - Rui Wang, Xiaojun Wu, Josef Kittler:
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning. - David Durfee, Laxman Dhulipala, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, Xiaorui Sun:
Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds. - Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai:
Symmetry-constrained Rectification Network for Scene Text Recognition. - Xinwei He, Tengteng Huang, Song Bai, Xiang Bai:
View N-gram Network for 3D Object Retrieval. - Abhimitra Meka, Mohammad Shafiei, Michael Zollhöfer, Christian Richardt, Christian Theobalt:
Live Illumination Decomposition of Videos. - Peng Zhang, Xinyu Zhu, Zhanzhan Cheng, Shuigeng Zhou, Yi Niu:
REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing. - Dana Conard, Blake Vollmer, Corbin Shatto, Hannah Bowman, Sara Kassis:
Using the Makerspace to Create Educational Open-source Software for Electrical Circuits: A Learning Experience. - Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. - Aleksei Tyrylgin, Maria V. Vasilyeva, Denis Spiridonov, Eric T. Chung:
Generalized Multiscale Finite Element Method for the poroelasticity problem in multicontinuum media. - Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu:
Self-Balanced Dropout. - Haoran Zhang, Diane J. Litman:
Word Embedding for Response-To-Text Assessment of Evidence. - Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao:
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. - Jun Gao, Luyun Gan, Fabiola Buschendorf, Liao Zhang, Hua Liu, Peixue Li, Xiaodai Dong, Tao Lu:
Omni SCADA Intrusion Detection Using Deep Learning Algorithms. - Zixuan Chen, Huajun Zhou, Xiaohua Xie, Jianhuang Lai:
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation. - Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang:
Semi-supervised Skin Detection by Network with Mutual Guidance. - Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. - Harsh Vamja, Richa Agrawal, Ranga Vemuri:
Non-Invasive Reverse Engineering of Finite State Machines Using Power Analysis and Boolean Satisfiability. - Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. - Haoran Zhang, Diane J. Litman:
Co-Attention Based Neural Network for Source-Dependent Essay Scoring. - Najmeh Ahang, Amin Jahromi Torabi, Mansour Doostfatemeh:
Comprehensive Fuzzy Turing Machines, An Evolution to the Concept of Finite State Machine Control. - Qi Fan, Wei Zhuo, Yu-Wing Tai:
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector. - Elad I. Farhi, Vadim Indelman:
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm. - Honghui Mei, Wei Chen, Yating Wei, Yuanzhe Hu, Shuyue Zhou, Bingru Lin, Ying Zhao, Jiazhi Xia:
RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query. - Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. - Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. - Ronny Bergmann, Roland Herzog, Daniel Tenbrinck, José Vidal-Núñez:
Fenchel Duality for Convex Optimization and a Primal Dual Algorithm on Riemannian Manifolds. - Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. - Marius Beul, Sven Behnke:
Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight. - Stefano Massei, Leonardo Robol:
Rational Krylov for Stieltjes matrix functions: convergence and pole selection. - Akira Kawata, Atsushi Igarashi:
A Dependently Typed Multi-Stage Calculus. - Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez:
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents. - Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis:
Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective. - Yalong Yang, Tim Dwyer, Sarah Goodwin, Kim Marriott:
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation. - Grégoire Bonin, Achour Mostéfaoui, Matthieu Perrin:
Wait-Free Universality of Consensus in the Infinite Arrival Model. - Matthias Bal, Hagen Triendl, Mariana Assmann, Michael Craig, Lawrence Phillips, Jarvist Moore Frost, Usman Bashir, Noor Shaker, Vid Stojevic:
Sparse hierarchical representation learning on molecular graphs. - Andreas Buhr:
Towards Automatic and Reliable Localized Model Order Reduction. - Yanlin Qian, Ke Chen, Huanglin Yu:
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. - Aiswarya Menon, Ravi Prakash, Laxmidhar Behera:
Adaptive Critic Based Optimal Kinematic Control for a Robot Manipulator. - Elvira Albert, Samir Genaim, Raúl Gutiérrez, Enrique Martin-Martin:
A Transformational Approach to Resource Analysis with Typed-norms Inference. - Yannick Pencolé, Éric Lubat, Silvano Dal-Zilio, Didier Le Botlan, Audine Subias:
A State Class Construction for Computing the Intersection of Time Petri Nets Languages. - Yalong Yang, Bernhard Jenny, Tim Dwyer, Kim Marriott, Haohui Chen, Maxime Cordeil:
Maps and Globes in Virtual Reality. - Yalong Yang, Tim Dwyer, Bernhard Jenny, Kim Marriott, Maxime Cordeil, Haohui Chen:
Origin-Destination Flow Maps in Immersive Environments. - Damien Chablat, Luc Rolland:
NAVARO II, a Novel Scissor-Based Planar Parallel Robot 1. - Zhongxiao Jia, Fa Wang:
The convergence of the Generalized Lanczos Trust-Region Method for the Trust-Region Subproblem. - Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks. - Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti:
Hermitian matrices for clustering directed graphs: insights and applications. - David K. E. Green, Filip Rindler:
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression. - Kevin D. Lux, Michael J. May, Carl A. Gunter:
WSEmail: A Retrospective on a System for Secure Internet Messaging Based on Web Services. - Fuyou Miao, Keju Meng, Yue Yu, Wenchao Huang, Yan Xiong, Xingfu Wang:
Tightly Coupled Secret Sharing and Its Application to Group Authentication. - Huikai Wu, Junge Zhang, Kaiqi Huang:
Point Cloud Super Resolution with Adversarial Residual Graph Networks. - Xuanyi Dong, Yi Yang:
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. - Gorby Kabasele Ndonda, Ramin Sadre:
A Public Network Trace of a Control and Automation System. - Cathy Chua, Manny Rayner:
What do the founders of online communities owe to their users? - Anjul Kumar Tyagi, Ayush Kumar, Anshul Gandhi, Klaus Mueller:
Road Accidents in the UK (Analysis and Visualization). - Philipp Harzig, Yan-Ying Chen, Francine Chen, Rainer Lienhart:
Addressing Data Bias Problems for Chest X-ray Image Report Generation. - (Withdrawn) Above the Clouds: A Brief Survey.
- Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. - Longteng Guo, Jing Liu, Jinhui Tang, Jiangwei Li, Wei Luo, Hanqing Lu:
Aligning Linguistic Words and Visual Semantic Units for Image Captioning. - Sascha Gritzbach, Torsten Ueckerdt, Dorothea Wagner, Franziska Wegner, Matthias Wolf:
Engineering Negative Cycle Canceling for Wind Farm Cabling. - Aras R. Dargazany:
Deep learning research landscape & roadmap in a nutshell: past, present and future - Towards deep cortical learning. - Hiroshi Kuwajima, Fuyuki Ishikawa:
Adapting SQuaRE for Quality Assessment of Artificial Intelligence Systems. - Atsushi Koshiba, Takahiro Hirofuchi, Ryousei Takano, Mitaro Namiki:
A Software-based NVM Emulator Supporting Read/Write Asymmetric Latencies. - Maliheh Heydarpour Shahrezaei, Reza Tavoli:
Parallelization of Kmeans++ using CUDA. - Stevan Tomic, Federico Pecora, Alessandro Saffiotti:
Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior. - Jinseok Lee, Dit-Yan Yeung:
Knowledge Query Network: How Knowledge Interacts with Skills. - Leo Souquet, Amir Nakib:
Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. - Jay Lee, Jaskaran Singh, Moslem Azamfar:
Industrial Artificial Intelligence. - Jiangfan Han, Ping Luo, Xiaogang Wang:
Deep Self-Learning From Noisy Labels. - Dennis Banga, Peter Waiganjo:
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization. - Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. - Mohamed Yosri Sayadi:
On the maximum number of minimal connected dominating sets in convex bipartite graphs. - Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. - Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Jun-Hai Yong, Dan Zeng:
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks. - Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay:
Model Agnostic Defence against Backdoor Attacks in Machine Learning. - Avinash Sudhodanan, Soheil Khodayari, Juan Caballero:
Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks. - Pablo Picazo-Sanchez, Juan Tapiador, Gerardo Schneider:
After You, Please: Browser Extensions Order Attacks and Countermeasures. - Pierre Dupuy de la Grand'rive, Jean-François Hullo:
Knapsack Problem variants of QAOA for battery revenue optimisation. - Diego Díaz-Domínguez:
An Index for Sequencing Reads Based on The Colored de Bruijn Graph. - Michael Gene Dobbins, Andreas F. Holmsen, Tillmann Miltzow:
A Universality Theorem for Nested Polytopes. - O. V. Ageev, R. A. Sharipov:
On cylindrical regression in three-dimensional Euclidean space. - Gabrielle Lemire, Thierry Laliberté, Katia Turcot, Véronique Flamand, Alexandre Campeau-Lecours:
Preliminary design of a device to assist handwriting in children with movement disorders. - Andrey Belogaev, Evgeny M. Khorov, Artem N. Krasilov, Dmitri Shmelkin, Suwen Tang:
Conservative Link Adaptation for Ultra Reliable Low Latency Communications. - Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu:
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. - Keeley Criswell, Tosiron Adegbija:
A Survey of Phase Classification Techniques for Characterizing Variable Application Behavior. - Rawan Naous, Lazar Supic, Yoonhwan Kang, Ranko Seradejovic, Anish Singhani, Vladimir Stojanovic:
Tuning Algorithms and Generators for Efficient Edge Inference. - Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically inspired sleep algorithm for artificial neural networks. - Saeed Moazami, Mohammad Mahdi Naddaf Shargh, Srinivas Palanki, Hassan Zargarzadeh:
Design, Modeling, and Control of Norma: a Slider & Pendulum-Driven Spherical Robot. - Roman Voliansky, Andri Pranolo:
Parallel mathematical models of dynamic objects. - Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, S. Ali Etemad:
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network. - S. M. A. Sharif, Ghulam Mujtaba, S. M. Nadim Uddin:
EdgeNet: A novel approach for Arabic numeral classification. - Ravi S. Raju, Mikko H. Lipasti:
BlurNet: Defense by Filtering the Feature Maps. - Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris:
Who's Tracking Sensitive Domains? - Aarne Talman, Antti Suni, Hande Çelikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio:
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations. - Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee:
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. - Paul Barde, Julien Roy, Félix G. Harvey, Derek Nowrouzezahrai, Christopher J. Pal:
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning. - Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun:
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning. - János Végh:
The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain. - Srijith Rajamohan, Alana Romanella, Amit Ramesh:
A Weakly-Supervised Attention-based Visualization Tool for Assessing Political Affiliation. - Zongze Ren, Guofu Yang, Shugong Xu:
Two-stage Training for Chinese Dialect Recognition. - Milad Moradi, Nasser Ghadiri:
Text Summarization in the Biomedical Domain. - Milad Moradi, Matthias Samwald:
Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts. - Nadine Havelange, Michel Dumontier, Birgit Wouters, Jona Linde, David Townend, Arno Riedl, Visara Urovi:
LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE. - Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib, Yousuf M. Khalifa:
Relative Afferent Pupillary Defect Screening through Transfer Learning. - Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Pseudo Spectral Method: Theory and Numerical Experiments. - Shih-Fu Chang, Alexander G. Hauptmann, Louis-Philippe Morency, Sameer K. Antani, Dick C. A. Bulterman, Carlos Busso, Joyce Yue Chai, Julia Hirschberg, Ramesh C. Jain, Ketan Mayer-Patel, Reuven Meth, Raymond J. Mooney, Klara Nahrstedt, Shrikanth S. Narayanan, Prem Natarajan, Sharon L. Oviatt, Balakrishnan Prabhakaran, Arnold W. M. Smeulders, Hari Sundaram, Zhengyou Zhang, Michelle X. Zhou:
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. - Omar Elazhary, Margaret-Anne D. Storey, Neil A. Ernst, Andy Zaidman:
Do as I Do, Not as I Say: Do Contribution Guidelines Match the GitHub Contribution Process? - Chia-Lun Yeh, Babak Loni, Mariëlle Hendriks, Henrike Reinhardt, Anne Schuth:
DpgMedia2019: A Dutch News Dataset for Partisanship Detection. - Mario Alessandro Barbara:
Proof of All: Verifiable Computation in a Nutshell. - Donghwan Shin, Salma Messaoudi, Domenico Bianculli, Annibale Panichella, Lionel C. Briand, Raimondas Sasnauskas:
Scalable Inference of System-level Models from Component Logs. - Martin Thomas Horsch, Christoph Niethammer, Gianluca Boccardo, Paola Carbone, Silvia Chiacchiera, Mara Chiricotto, Joshua D. Elliott, Vladimir Lobaskin, Philipp Neumann, Matthew Schiffels, Michael Seaton, Ilian T. Todorov, Jadran Vrabec, Welchy Leite Cavalcanti:
Semantic interoperability and characterization of data provenance in computational molecular engineering. - Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles:
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. - Lucas Faria Porto, Laise Nascimento Correia Lima, Ademir Franco, Donald M. Pianto, Carlos Eduardo Machado Palhares, Flavio de Barros Vidal:
Estimating sex and age for forensic applications using machine learning based on facial measurements from frontal cephalometric landmarks. - Kaiqing Zhang, Erik Miehling, Tamer Basar:
Online Planning for Decentralized Stochastic Control with Partial History Sharing. - Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. - Meiyi Ma, Ezio Bartocci, Lu Feng, John A. Stankovic:
Runtime Monitoring of Real time Safety Requirements in Smart Cities. - Chaoyu Guan, Yuhao Cheng, Hai Zhao:
Semantic Role Labeling with Associated Memory Network. - Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Deep Neural Networks Using Spectrum-Based Fault Localization. - Aleksandar Haber:
Subspace Identification of Temperature Dynamics. - Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi:
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge. - Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare:
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment. - Bojana Gajic, Ariel Amato, Ramon Baldrich, Carlo Gatta:
Bag of Negatives for Siamese Architectures. - Subhash Lakshminarayana, Elena Veronica Belmega, H. Vincent Poor:
Moving-Target Defense for Detecting Coordinated Cyber-Physical Attacks in Power Grids. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Refining the Structure of Neural Networks Using Matrix Conditioning. - Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. - Binh P. Nguyen, Vu Bao Hung Nguyen, Hien Nguyen, Pham Ngoc Phuong, The-Loc Nguyen, Quoc Truong Do, Luong Chi Mai:
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging. - Xi Xiong, Teze Wang, Li Jin:
Evaluation of Headway Threshold-based Coordinated Platooning over a Cascade of Highway Junctions. - Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras:
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes. - Anhong Guo, Ilter Canberk, Hannah Murphy, Andrés Monroy-Hernández, Rajan Vaish:
Blocks: Collaborative and Persistent Augmented Reality Experiences. - Bin Guo, Huihui Chen, Yan Liu, Chao Chen, Qi Han, Zhiwen Yu:
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data. - Yuya Tsuda, Atsushi Igarashi, Tomoya Tabuchi:
Space-Efficient Gradual Typing in Coercion-Passing Style. - Amir Behrouzi-Far, Emina Soljanin:
Redundancy Scheduling in Systems with Bi-Modal Job Service Time Distribution. - Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Fei Wu, Futai Zou:
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization. - John Brandt:
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval. - Deli Qiao, Mustafa Cenk Gursoy:
Age-Optimal Power Control for Status Update Systems with Packet Based Transmissions. - Roman Ibrahimov, Evgeny V. Tsykunov, Vladimir Shirokun, Andrey Somov, Dzmitry Tsetserukou:
DronePick: Object Picking and Delivery Teleoperation with the Drone Controlled by a Wearable Tactile Display. - Andras Rozsa, Terrance E. Boult:
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations. - Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori:
Continuous Graph Flow for Flexible Density Estimation. - Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi:
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. - Rujia Li, David Galindo, Qi Wang:
Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts. - Ivan De Oliveira Nunes, Karim Eldefrawy, Norrathep Rattanavipanon, Gene Tsudik:
A Verified Architecture for Proofs of Execution on Remote Devices under Full Software Compromise. - Jun Chen, Ryosuke Watanabe, Keisuke Nonaka, Tomoaki Konno, Hiroshi Sankoh, Sei Naito:
A Robust Billboard-based Free-viewpoint Video Synthesizing Algorithm for Sports Scenes. - Deyuan Meng, Jingyao Zhang:
Optimization-Based Learning Control for Nonlinear Time-Varying Systems. - Vincent Falconieri:
Open Dataset of Phishing and Tor Hidden Services Screen-captures. - Manish Patel:
TinySearch - Semantics based Search Engine using Bert Embeddings. - Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. - Xiaojie Wu, Xiaotao Li:
Absorbing boundary conditions for the time-dependent Schrödinger-type equations in R3. - Mohammad Shokri, Hamed Kebriaei:
Leader-Follower Network Aggregative Game with Stochastic Agents' Communication and Activeness. - Zhengzheng Tu, Yan Ma, Chenglong Li, Jin Tang, Bin Luo:
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection. - Homa Esfahanizadeh, Lev Tauz, Lara Dolecek:
Multi-Dimensional Spatially-Coupled Code Design: Enhancing the Cycle Properties. - Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories. - Na Xu, Zhaoxia Yin:
Separable Reversible Data Hiding Based on MSB Prediction for Encrypted 3D Mesh Models. - Carlo Meloni, Shauli Ravfogel, Yoav Goldberg:
Ab Antiquo: Proto-language Reconstruction with RNNs. - Huayao Wu, Changhai Nie, Justyna Petke, Yue Jia, Mark Harman:
A Survey of Constrained Combinatorial Testing. - Eric Brachmann, Carsten Rother:
Expert Sample Consensus Applied to Camera Re-Localization. - Boyuan Jiang, Mengmeng Wang, Weihao Gan, Wei Wu, Junjie Yan:
STM: SpatioTemporal and Motion Encoding for Action Recognition. - Dmitrij Lagutin, Francesco Bellesini, Tommaso Bragatto, Alessio Cavadenti, Vincenzo Croce, Yki Kortesniemi, Helen C. Leligou, Yannis Oikonomidis, George C. Polyzos, Giuseppe Raveduto, Francesca Santori, Panagiotis Trakadas, Matteo Verber:
Secure Open Federation of IoT Platforms Through Interledger Technologies - The SOFIE Approach. - Sophia Knight, Bastien Maubert:
Dealing with imperfect information in Strategy Logic. - Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Progressive Transfer Learning for Person Re-identification. - Guohui Zhao:
Multiply Periodic Splines. - Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao:
Task-Oriented Optimal Sequencing of Visualization Charts. - Zeljko Kereta, Johannes Maly, Valeriya Naumova:
Linear convergence and support recovery for non-convex multi-penalty regularization. - Volodymyr Sokhatskyi, Olga Zvyeryeva, Ievgen Karaulov, Dmytro Tkanov:
Embedding-based system for the Text part of CALL v3 shared task. - Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao:
Mesh Variational Autoencoders with Edge Contraction Pooling. - Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko:
Free-Lunch Saliency via Attention in Atari Agents. - Rudy Arthur:
Modularity and Projection of Bipartite Networks. - Adar Ovadya, Rom Ogen, Yakov Mallah, Niv Gilboa, Yossi Oren:
Cross-Router Covert Channels. - Aleksandrs Belovs, Eric Blais, Abhinav Bommireddi:
Testing convexity of functions over finite domains. - Benjamin Bumpus, Patrick Prosser, James Trimble:
A Constraint Model for the Tree Decomposition of a Graph. - Vahid Andalib, Jyotirmoy Sarkar:
A Repairable System Supported by Two Spare Units and Serviced by Two Types of Repairers. - Will T. Nash, C. J. Powell, Tom Drummond, Nick Birbilis:
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning. - Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. - Lei Chen, Chengqing Li:
Cryptanalyzing a Medical Privacy Protection Scheme based on DNA Coding and Chaos. - Yang Zhang, Vigen Arakelian, Baptiste Veron, Damien Chablat:
Key Features of the Coupled Hand-operated Balanced Manipulator (HOBM) and Lightweight Robot (LWR). - Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette Community Detection. - Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. - M. Dreux, L. Ginzburg, Philippe Bordure, Damien Chablat, Guillaume Michel:
Etat de l'art des systèmes robotisés en vue d'une application pour la chirurgie otologique. - Ghazal Ghazaei, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning. - Guillaume Michel, Damien Chablat, Philippe Bordure, Felix Péchereau, Pierre Schegg:
Analyse du besoin en assistance robotique dans la chirurgie de l'oreille. - Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha:
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. - Shakila Khan Rumi, Phillip Luong, Flora D. Salim:
Crime Rate Prediction with Region Risk and Movement Patterns. - Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. - Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. - Akifumi Okuno, Hidetoshi Shimodaira:
Hyperlink Regression via Bregman Divergence. - Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen:
Alternative Blockmodelling. - Amr Al-Khatib, Samhaa R. El-Beltagy:
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification. - Daniel Hernández Serrano, Darío Sánchez Gómez:
Higher order degree in simplicial complexes, multi combinatorial Laplacian and applications of TDA to complex networks. - Sang-Hyeon Ahn:
Economic Power, Population, and the Size of Astronomical Community. - Alan Reyes, Jason T. Wright:
Towards a Comprehensive Bibliography for SETI. - Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert:
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness. - Gururaghav Raman, Bedoor K. AlShebli, Marcin Waniek, Talal Rahwan, Jimmy Chih-Hsien Peng:
How weaponizing disinformation can bring down a city's power grid. - Mostafa Sadeghi, Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder. - Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson:
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics. - Sven E. Hug, Mirjam Aeschbach:
Criteria for assessing grant applications: A systematic review. - Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan:
HPC AI500: A Benchmark Suite for HPC AI Systems. - Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic:
The power of dynamic social networks to predict individuals' mental health. - Caroline Bird, Ruzanna Chitchyan:
Towards Requirements for a Demand Side Response Energy Management System for Households. - Drew Hemment, Ruth Aylett, Vaishak Belle, Dave Murray-Rust, Ewa Luger, Jane Hillston, Michael Rovatsos, Frank Broz:
Experiential AI. - Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng:
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks. - Yolanda Gil, Bart Selman:
A 20-Year Community Roadmap for Artificial Intelligence Research in the US. - Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. - Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel A. Keim, Mennatallah El-Assady:
Speculative Execution for Guided Visual Analytics. - Chen Shen, Rongrong Ji, Fuhai Chen, Xiaoshuai Sun, Xiangming Li:
Scene-based Factored Attention for Image Captioning. - Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes. - Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra:
Near-Memory Computing: Past, Present, and Future. - Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador:
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. - Melanie Schmidt, Christian Sohler:
Fully dynamic hierarchical diameter k-clustering and k-center. - János Végh:
Classic versus modern computing: analogies with classic versus modern physics. - Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni:
Random Directional Attack for Fooling Deep Neural Networks. - Kaiyu Yang, Olga Russakovsky, Jia Deng:
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. - Jonás Serých, Jiri Matas:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. - Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A. Stephen McGough, Nick Wright, Per Berggren:
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. - Yuan Zhou, Bingzhang Hu, Ling Shao:
Dual-reference Age Synthesis. - Jorge A. Laval, Hao Zhou:
Large-scale traffic signal control using machine learning: some traffic flow considerations. - Yehonatan Buchnik, Roy Friedman:
A Generic Efficient Biased Optimizer for Consensus Protocols. - Markus Schütz, Michael Wimmer:
Rendering Point Clouds with Compute Shaders. - Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke:
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. - Hsieng-Yung Huang, Ildar Farkhatdinov, Arash Arami, Mohamed Bouri, Etienne Burdet:
Cable-driven robotic interface for lower limb neuromechanics identification. - Andreas Herten, Thorsten Hater, Wouter Klijn, Dirk Pleiter:
Performance Comparison for Neuroscience Application Benchmarks. - Xunhua Dai, Chenxu Ke, Quan Quan, Kai-Yuan Cai:
Unified Simulation and Test Platform for Control Systems of Unmanned Vehicles. - Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection. - Massimo Bartoletti, Letterio Galletta, Maurizio Murgia:
A minimal core calculus for Solidity contracts. - Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. - Yoshihiro Kanamori, Yuki Endo:
Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images. - Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot:
A Characterization of Mean Squared Error for Estimator with Bagging. - Lingjie Li, Wenjian Yu, Kim Batselier:
Faster Tensor Train Decomposition for Sparse Data. - Ian Fox, Jenna Wiens:
Advocacy Learning: Learning through Competition and Class-Conditional Representations. - Charith Perera, Mahmoud Barhamgi:
Augmenting Software Engineering Processes Towards Designing Privacy Aware Internet of Things Applications. - Qianyu Feng, Yu Wu, Hehe Fan, Chenggang Yan, Yi Yang:
Cascaded Revision Network for Novel Object Captioning. - Chonghuai Ma, Floris Laporte, Joni Dambre, Peter Bienstman:
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout. - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. - Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. - Seth Gilbert, Wei Quan Lim:
Parallel Finger Search Structures. - Thomas Nowak, Joel Rybicki:
Byzantine Approximate Agreement on Graphs. - Wooshik Kim, Catherine Pavlov, Aaron M. Johnson:
Developing a Simple Model for Sand-Tool Interaction and Autonomously Shaping Sand. - Amir Mosavi, Pinar Öztürk, Kwok-Wing Chau:
Flood Prediction Using Machine Learning Models: Literature Review. - Kai Chen, Zhongrui Lin, Jian Wan, Lei Xu, Chungen Xu:
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks. - Vítor N. Lourenço, Gabriela G. Silva, Leandro A. F. Fernandes:
Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval. - Arman Sargolzaei, Alireza Abbaspour, Carl D. Crane:
Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms. - Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. - Emmanuel Luján, Juan A. Zuloaga Mellino, Alejandro D. Otero, Leonardo Rey Vega, Cecilia G. Galarza, Esteban E. Mocskos:
Extreme coverage in 5G Narrowband IoT: a LUT-based strategy to optimize shared channels. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Investigating Decision Boundaries of Trained Neural Networks. - Trevor Bostic, Jeff Stanley, John Higgins, Rachael L. Bradley-Montgomery, Justin F. Brunelle, Daniel Chudnov:
Exploring the Intersections of Web Science and Accessibility. - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. - Flavien Prost, Nithum Thain, Tolga Bolukbasi:
Debiasing Embeddings for Reduced Gender Bias in Text Classification. - Nare Karapetyan, Jason Moulton, Ioannis M. Rekleitis:
Meander Based River Coverage by an Autonomous Surface Vehicle. - Tudor Ninacs, Balázs Matuz, Gianluigi Liva, Giulio Colavolpe:
Short Non-Binary Low-Density Parity-Check Codes for Phase Noise Channels. - Lulwah M. Alkwai, Michael L. Nelson, Michele C. Weigle:
Making Recommendations from Web Archives for "Lost" Web Pages. - Nare Karapetyan, Adam Braude, Jason Moulton, Joshua A. Burstein, Scott White, Jason M. O'Kane, Ioannis M. Rekleitis:
Riverine Coverage with an Autonomous Surface Vehicle over Known Environments. - Raphael C. Brito, Hansenclever de F. Bassani:
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation. - Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne:
Visualizing the PHATE of Neural Networks. - Quan Nguyen, Keng-Weng Lao, Phuong Vu, Surya Santoso:
Loss Minimization with Optimal Power Dispatch in Multi-Frequency HVac Power Systems. - Jason Moulton, Nare Karapetyan, Michail Kalaitzakis, Alberto Quattrini Li, Nikolaos I. Vitzilaios, Ioannis M. Rekleitis:
Dynamic Autonomous Surface Vehicle Controls Under Changing Environmental Forces. - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild. - Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perelló-Nieto, Emma Tonkin, Peter A. Flach:
HyperStream: a Workflow Engine for Streaming Data. - Leanne Dong, John van der Hoek:
An explicit numerical algorithm to the solution of Volterra integral equation of the second kind. - Aaron A. Reite, Scott Kangas, Zackery Steck, Steven Goley, Jonathan Von Stroh, Steven Forsyth:
Unsupervised Feature Learning in Remote Sensing. - Thomas Gabor, Philipp Altmann:
Benchmarking Surrogate-Assisted Genetic Recommender Systems. - Christopher Duffy:
A Note on Colourings of Connected Oriented Cubic Graphs. - Aloisio Dourado, Teófilo Emídio de Campos, Hansung Kim, Adrian Hilton:
EdgeNet: Semantic Scene Completion from RGB-D images. - Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? - Zhentao Xia, Likai Wang, Weiguang Qu, Junsheng Zhou, Yanhui Gu:
Neural Network based Deep Transfer Learning for Cross-domain Dependency Parsing. - Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? - Ernest Mwebaze, Timnit Gebru, Andrea Frome, Solomon Nsumba, Jeremy Tusubira:
iCassava 2019Fine-Grained Visual Categorization Challenge. - Wei Jing, Di Deng, Zhe Xiao, Yong Liu, Kenji Shimada:
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection. - Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. - Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris:
Image Captioning using Facial Expression and Attention. - Roman A. Solovyev, Iaroslav Melekhov, Timo Lesonen, Elias Vaattovaara, Osmo Tervonen, Aleksei Tiulpin:
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio. - Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. - Peter Thiemann:
Intrinsically-Typed Mechanized Semantics for Session Types. - Vincent Falconieri:
VisJSClassificator - Manual Visual Collaborative Classification Graph-based Tool. - Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris, Len Hamey:
Towards Generating Stylized Image Captions via Adversarial Training. - Jason Teutsch, Sami Mäkelä, Surya Bakshi:
Bootstrapping a stable computation token. - Sourav Mukherjee, Tim Oates, Ryan Wright:
Graph Node Embeddings using Domain-Aware Biased Random Walks. - Guyue Hu, Bo Cui, Yuan He, Shan Yu:
Progressive Relation Learning for Group Activity Recognition. - Patrick Stotko, Stefan Krumpen, Max Schwarz, Christian Lenz, Sven Behnke, Reinhard Klein, Michael Weinmann:
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot. - Deepan Das, Noor Mohammed Ghouse, Shashank Verma, Yin Li:
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework. - Chaocheng He, Jiang Wu, Qingpeng Zhang:
Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks. - Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen:
From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense. - Filip Maric, Oliver Limoyo, Luka Petrovic, Trevor Ablett, Ivan Petrovic, Jonathan Kelly:
Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization. - Tianhao Chen, Limei Cheng, Yang Liu, Wenchuan Jia, Shugen Ma:
Incremental Reinforcement Learning - a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods. - Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. - Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation. - Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
High-Level Combined Deterministic and Pseudoexhuastive Test Generation for RISC Processors. - Josue Ortega:
Obvious Manipulations in Cake-Cutting. - Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Fast Point R-CNN. - Francesca Fantoni, Andrea Bacigalupo, Marco Paggi, José Reinoso:
A phase field approach for damage propagation in periodic microstructured materials. - Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". - Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Local Differential Privacy for Deep Learning. - Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano:
Learning Vision-based Flight in Drone Swarms by Imitation. - Marcell Wolnitza, Babette Dellen:
Feature selection of neural networks is skewed towards the less abstract cue. - Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab:
Sparse 𝓁q-regularization of inverse problems with deep learning. - Yuki Nishida, Atsushi Igarashi:
Manifest Contracts with Intersection Types. - Volker Grimm:
A conjugate-gradient-type rational Krylov subspace method for ill-posed problems. - Felix Berkhahn, Richard Keys, Wajih Ouertani, Nikhil Shetty, Dominik Geißler:
One Model To Rule Them All. - Adam White, Artur S. d'Avila Garcez:
Measurable Counterfactual Local Explanations for Any Classifier. - Merav Parter:
Small Cuts and Connectivity Certificates: A Fault Tolerant Approach. - Andrew Gilbert, Matthew Trumble, Adrian Hilton, John P. Collomosse:
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras. - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. - Patrizio Angelini, Michael A. Bekos, Michael Kaufmann, Thomas Schneck:
Efficient Generation of Different Topological Representations of Graphs Beyond-Planarity. - Katerina Rysová, Magdaléna Rysová, Tomás Musil, Lucie Poláková, Ondrej Bojar:
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19. - Petr Svarný, Michael Tesar, Jan Kristof Behrens, Matej Hoffmann:
Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting. - Liang Wu, Chengquan Zhang, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai:
Editing Text in the Wild. - Thomas Golda, Nils Murzyn, Chengchao Qu, Kristian Kroschel:
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks. - Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev:
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data. - Gaël Rigaud:
3D Compton scattering imaging: study of the spectrum and contour reconstruction. - Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. - Yan Liu, Xiwang Cao:
Optimal p-ary cyclic codes with two zeros. - Youngeun Kwon, Yunjae Lee, Minsoo Rhu:
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. - Miguel Picallo, Adolfo Anta, Bart De Schutter:
Comparison of Bounds for Optimal PMU Placement for State Estimation in Distribution Grids. - Luan M. Vieira, Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
A second-order face-centred finite volume method for elliptic problems. - Yunus Sarikaya, Özgür Erçetin:
Motivating Workers in Federated Learning: A Stackelberg Game Perspective. - Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. - Minh-Ngoc Tran, Dang Hai Nguyen, Duy Nguyen:
Variational Bayes on Manifolds. - Jesse Hoey, Neil J. MacKinnon:
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty. - Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum:
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds. - Patrick Stotko, Stefan Krumpen, Michael Weinmann, Reinhard Klein:
Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence. - Emil Björnson, Luca Sanguinetti:
Scalable Cell-Free Massive MIMO Systems. - Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger:
From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions. - Lorenzo Andraghetti, Panteleimon Myriokefalitakis, Pier Luigi Dovesi, Belén Luque, Matteo Poggi, Alessandro Pieropan, Stefano Mattoccia:
Enhancing self-supervised monocular depth estimationwith traditional visual odometry. - Emil Björnson, Luca Sanguinetti:
Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces. - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng:
CARL: Aggregated Search with Context-Aware Module Embedding Learning. - Chen Ma:
The Hitchhiker's Guide to LDA. - Zulkarnaen Hatala, Victor Puturuhu:
Viterbi Extraction tutorial with Hidden Markov Toolkit. - Abeer Aldayel, Walid Magdy:
Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media. - Markus Chimani, Philipp Kindermann, Fabrizio Montecchiani, Pavel Valtr:
Crossing Numbers of Beyond-Planar Graphs. - Jayadev Acharya, Ananda Theertha Suresh:
Optimal multiclass overfitting by sequence reconstruction from Hamming queries. - Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers:
Disturbance Estimation and Rejection for High-Precision Multirotor Position Control. - Vilma Virasjoki, Afzal S. Siddiqui, Fabricio Oliveira, Ahti Salo:
Utility-Scale Energy Storage in an Imperfectly Competitive Power Sector. - Patrick Lambrix:
Completing and Debugging Ontologies: state of the art and challenges. - Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich:
Universal Adversarial Audio Perturbations. - Qian Xu, Pinyi Ren, A. Lee Swindlehurst:
Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective. - Sobhan Soleymani, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Defending Against Adversarial Iris Examples Using Wavelet Decomposition. - Artem Khyzha, Hagit Attiya, Alexey Gotsman:
Privatization-Safe Transactional Memories (Extended Version). - Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez:
Moviescope: Large-scale Analysis of Movies using Multiple Modalities. - Abeer AlDayel, Walid Magdy:
Assessing Sentiment of the Expressed Stance on Social Media. - Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. - W. A. Chamalee Wickrama Arachchi, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
On Max-Min SINR with MMSE Processing for Uplink Cell-Free Massive MIMO. - Yifan Sun, Linan Zhang, Hayden Schaeffer:
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data. - Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. - Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Rigid Graph Alignment. - Palak Bhushan, Claire J. Tomlin:
Design of the first sub-milligram flapping wing aerial vehicle. - Sebastian Frischbier, Mario Paic, Alexander Echler, Christian Roth:
Managing the Complexity of Processing Financial Data at Scale - an Experience Report. - Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor:
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition. - Andong Cao, Ali Dhanaliwala, Jianbo Shi, Terence P. Gade, Brian Park:
Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality. - Umberto Martínez-Peñas:
Hamming and simplex codes for the sum-rank metric. - Jaehoon Koo, Veena B. Mendiratta, Muntasir Raihan Rahman, Anwar Walid:
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. - Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen:
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. - Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting:
Random Sum-Product Forests with Residual Links. - Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu:
One-shot Face Reenactment. - Supratik Chakraborty, Aditya A. Shrotri, Moshe Y. Vardi:
On Symbolic Approaches for Computing the Matrix Permanent. - Vikram Ravindra, Ananth Grama:
De-anonymization Attacks on Neuroimaging Datasets. - Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. - Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. - Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Efficient Inference of CNNs via Channel Pruning. - Shuyang Chen, John T. Wen:
Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics. - Mustafa Canim, Ashish Kundu, Josh Payne:
Uncheatable Machine Learning Inference. - Qianqian Zhang, Walid Saad, Mehdi Bennis:
Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors. - Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun:
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. - Palak Bhushan, Claire J. Tomlin:
An Insect-scale Untethered Laser-powered Jumping Microrobot. - Palak Bhushan, Claire J. Tomlin:
An Insect-scale Self-sufficient Rolling Microrobot. - Matthew Abate, Eric Feron, Samuel Coogan:
Monitor-Based Runtime Assurance for Temporal Logic Specifications. - Charles Jeon, Oscar Castañeda, Christoph Studer:
A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS. - Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Question-Agnostic Attention for Visual Question Answering. - Qiankun Tang, Shice Liu, Jie Li, Yu Hu:
PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection. - Sean Oesch, Scott Ruoti:
That Was Then, This Is Now: A Security Evaluation of Password Generation, Storage, and Autofill in Thirteen Password Managers. - Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang:
Localizing Backscatters by a Single Robot With Zero Start-up Cost. - Fan Wei, Yongpeng Wu, Wen Chen, Yanlin Geng, Giuseppe Caire:
On the Fundamental Limits of MIMO Massive Access Communication. - Dongjun Kim, Tae-Sub Yun, Il-Chul Moon:
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. - Prateeti Mohapatra, Neelamadhav Gantayat, Gargi Banerjee Dasgupta:
Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach. - Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv:
Deep Density-aware Count Regressor. - Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-Modal Synthesis of Regular Expressions. - Caitlin Gray, Lewis Mitchell, Matthew Roughan:
Bayesian inference of network structure from information cascades. - Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang:
Convex hull algorithms based on some variational models. - Wolfgang Arendt, Isabelle Chalendar, Robert Eymard:
Galerkin Approximation In Banach and Hilbert Spaces. - G. Duchamp, Nihar Gargava:
A localized version of the basic triangle theorem. - Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes with Insufficient Data. - Marthe Bonamy, Cyril Gavoille, Michal Pilipczuk:
Shorter Labeling Schemes for Planar Graphs. - Yuka Ariki, Takuya Narihira:
Fully Convolutional Search Heuristic Learning for Rapid Path Planners. - Sébastien Boyaval:
Viscoelastic flows with conservation laws. - Niall H. Robinson, Joe Hamman, Ryan Abernathey:
Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems. - Björn Ebbinghaus:
Decision Making with Argumentation Graphs. - Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler:
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. - Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz:
Trade-offs in Distributed Interactive Proofs. - Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian:
Deep Learning based Wearable Assistive System for Visually Impaired People. - Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe:
DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. - Jie Jiang, Riccardo Pozza, Nigel Gilbert, Klaus Moessner:
MakeSense: An IoT Testbed for Social Research of Indoor Activities. - Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering with Unknown Number of Clusters. - Antoon Purnal, Ingrid Verbauwhede:
Advanced profiling for probabilistic Prime+Probe attacks and covert channels in ScatterCache. - Miaojun Bai, Yan Zheng, Yun Shen:
Gradient Boosting Survival Tree with Applications in Credit Scoring. - Hiroshi Eto, Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi:
Parameterized Algorithms for Maximum Cut with Connectivity Constraints. - Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou:
Distinguishing Individual Red Pandas from Their Faces. - Lina Zhao, Eric T. Chung:
A posteriori error estimates for the mortar staggered DG method. - Bo Wei, Kai Li, Chengwen Luo, Weitao Xu, Jin Zhang:
No Need of Data Pre-processing: A General Framework for Radio-Based Device-Free Context Awareness. - Hongfei Xu, Qiuhui Liu, Josef van Genabith:
UdS Submission for the WMT 19 Automatic Post-Editing Task. - Patrick Schäfer, Ulf Leser:
TEASER: Early and Accurate Time Series Classification. - Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie:
Transferable Representation Learning in Vision-and-Language Navigation. - Palak Bhushan, Claire J. Tomlin:
New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices. - Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang:
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning. - Alessia Bertugli, Paolo Galeone:
Learning to Grasp from 2.5D images: a Deep Reinforcement Learning Approach. - Dadi Bi, Yansha Deng, Massimiliano Pierobon, Arumugam Nallanathan:
Chemical Reactions-Based Microfluidic Transmitter and Receiver for Molecular Communication. - Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón:
Probabilistic Models with Deep Neural Networks. - Kapil Sinha, Arun Viswanathan, Julian J. Bunn:
Tracking Temporal Evolution of Network Activity for Botnet Detection. - David López, Bilal Farooq:
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain. - Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Allocate Resources in Vehicular Networks. - Jialin Gao, Zhixiang Shi, Jiani Li, Yufeng Yuan, Jiwei Li, Xi Zhou:
Relation-Aware Pyramid Network (RapNet) for temporal action proposal. - Vincent Falconieri:
Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework. - Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo:
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments. - Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. - Lennard Kamenski:
On the smallest eigenvalue of finite element equations with meshes without regularity assumptions. - Brigitte Boden, Jan Flink, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber:
RCE: An Integration Environment for Engineering and Science. - Zheng Wang, Xiaojun Ye, Qiao Wang:
Zero-shot Feature Selection via Exploiting Semantic Knowledge. - David A. Bader, Paul Burkhardt:
A Linear Time Algorithm for Finding Minimum Spanning Tree Replacement Edges. - Mohammad Hafiz Ismail, Tajul Rosli Bin Razak, Muhamad Arif Hashim, Alif Faisal Ibrahim:
A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor. - Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen:
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. - Minghui Zheng, Zhu Chen, Xiao Liang:
A Preliminary Study on A Physical Model Oriented Learning Algorithm with Application to UAVs. - Mark Anderson, David Vilares, Carlos Gómez-Rodríguez:
Artificially Evolved Chunks for Morphosyntactic Analysis. - Matteo Rucco, Luca Tesei, Emanuela Merelli:
Topological Run-time Monitoring for Complex Systems. - Jonathan Heek, Nal Kalchbrenner:
Bayesian Inference for Large Scale Image Classification. - Mohsen Ghaffari, Julian Portmann:
Improved Network Decompositions using Small Messages with Applications on MIS, Neighborhood Covers, and Beyond. - Peter Hertling, Gisela Krommes:
EXPSPACE-Completeness of the Logics K4xS5 and S4xS5 and the Logic of Subset Spaces, Part 1: ESPACE-Algorithms. - Johanna Johansen:
Making GDPR Usable: A Model to Support Usability Evaluations of Privacy. - Gonçalo Marcelino, David Semedo, André Mourão, Saverio G. Blasi, Marta Mrak, João Magalhães:
A Benchmark of Visual Storytelling in Social Media. - Peter Hertling, Gisela Krommes:
EXPSPACE-Completeness of the Logics K4xS5 and S4xS5 and the Logic of Subset Spaces, Part 2: EXPSPACE-Hardness. - Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy:
Deep Kernel Learning for Clustering. - Ibrahim Almarashdeh, Mutasem K. Alsmadi, Tamer Farag, Abdullah S. Albahussain, Usama A. Badawi, Njoud Altuwaijri, Hala Almaimoni, Fatima Asiry, Shahad Alowaid, Muneerah Alshabanah, Daniah Alrajhi, Amirah Al Fraihet, Ghaith M. Jaradat:
Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network. - Leendert A. Remmelzwaal, George F. R. Ellis, Jonathan Tapson:
One-time learning in a biologically-inspired Salience-affected Artificial Neural Network (SANN). - Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez, Michael Taynnan Barros, Sasitharan Balasubramaniam:
Cybersecurity in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges. - Zongcheng Ji, Qiang Wei, Hua Xu:
BERT-based Ranking for Biomedical Entity Normalization. - Hendrik Maarand, Tarmo Uustalu:
Reordering Derivatives of Trace Closures of Regular Languages (Full Version). - Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
VisualBERT: A Simple and Performant Baseline for Vision and Language. - Mohamed Akrout:
On the Adversarial Robustness of Neural Networks without Weight Transport. - Úlfar Erlingsson, Ilya Mironov, Ananth Raghunathan, Shuang Song:
That which we call private. - Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvári, Satinder Singh, Benjamin Van Roy, Richard S. Sutton, David Silver, Hado van Hasselt:
Behaviour Suite for Reinforcement Learning. - Hongzhi Wang, Yang Song, Shihan Tang:
LSTM-based Flow Prediction. - Yixin Hu, Teseo Schneider, Bolun Wang, Denis Zorin, Daniele Panozzo:
Fast Tetrahedral Meshing in the Wild. - Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, Steven Swanson:
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory. - Manuel Borrazzo, Fabrizio Frati:
On the Edge-Length Ratio of Planar Graphs. - Miel Sharf, Daniel Zelazo:
A Data-Driven and Model-Based Approach to Fault Detection and Isolation in Networked Systems. - Sebastian Cmentowski, Andrey Krekhov, Ann-Marie Müller, Jens H. Krüger:
Toward a Taxonomy of Inventory Systems for Virtual Reality Games. - Frank Meng, Craig A. Morioka, Danne C. Elbers:
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. - Chen Wang, Qin Yu, Ruisen Luo, Dafeng Hui, Kai Zhou, Yanmei Yu, Chao Sun, Xiaofeng Gong:
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification. - Dekel Tsur:
Kernel for Kt-free edge deletion. - Nandan Banerjee, Ryan C. Connolly, Dimitri A. Lisin, Jimmy Briggs, Manjunath Narayana, Mario E. Munich:
View management for lifelong visual maps. - Jorge Calvo-Zaragoza, Jan Hajic Jr., Alexander Pacha:
Understanding Optical Music Recognition. - Andrey Bayev, Ilya Gartseev, Ivan Chistyakov, Alexey Nikulin, Alexey V. Derevyankin, Mikhail Pikhletsky:
RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation. - Youssef Bassil:
Memory-Based Multi-Processing Method For Big Data Computation. - Ulysse Gérard, Dale Miller, Gabriel Scherer:
Functional programming with lambda-tree syntax. - Phil Ammirato, Alexander C. Berg:
A Mask-RCNN Baseline for Probabilistic Object Detection. - Jonas Kulhanek, Erik Derner, Tim de Bruin, Robert Babuska:
Vision-based Navigation Using Deep Reinforcement Learning. - Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria:
Recent Trends in Deep Learning Based Personality Detection. - Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. - Alessandra Lumini, Loris Nanni, Alice Codogno, Filippo Berno:
Learning morphological operators for skin detection. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants. - Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers:
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. - Nasser Aldaghri, Hessam Mahdavifar:
Physical Layer Secret Key Generation in Static Environments. - Wei Zhou, Le Guan, Peng Liu, Yuqing Zhang:
Good Motive but Bad Design: Why ARM MPU Has Become an Outcast in Embedded Systems. - Abelardo Duarte-Rodríguez, María Ángeles Rodríguez-Bellido, Diego Armando Rueda-Gómez, Élder J. Villamizar-Roa:
Numerical analysis for a chemotaxis-Navier-Stokes system. - Lukas Halgas, Ioannis Agrafiotis, Jason R. C. Nurse:
Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs). - Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava:
A Generate-Validate Approach to Answering Questions about Qualitative Relationships. - Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, Gerhard Weikum:
TEQUILA: Temporal Question Answering over Knowledge Bases. - Aurelia Guy, Sema Berkiten:
A Distraction Score for Watermarks. - Hermes Senger, Jaime F. de Souza, Edson Satoshi Gomi, Fabio Luporini, Gerard J. Gorman:
Performance of Devito on HPC-Optimised ARM Processors. - Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips. - Sahan Ahmad, S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data. - Yongxing Wang, Jun Bi:
Optimal charging guidance strategies for electric vehicles by considering dynamic charging requests in a time-varying road network. - Dohyun Kim, Kyeorye Lee, Jiyeon Kim, Junseok Kwon, Joongheon Kim:
Deep ensemble network with explicit complementary model for accuracy-balanced classification. - Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi:
Recent Advances in Deep Learning for Object Detection. - Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Unconstrained Foreground Object Search. - Lingyue Shen, Huaxiong Huang, Ping Lin, Zilong Song, Shixin Xu:
An energy stable $C^0$ finite element scheme for a quasi-incompressible phase-field model of moving contact line with variable density. - Yang Liu, Jianpeng Zhang, Chao Gao, Jinghua Qu, Lixin Ji:
Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks. - Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong:
Bayesian Loss for Crowd Count Estimation with Point Supervision. - Leila Eftekhari, Soleiman Hosseinpour, Moein Khalighi:
A comparison between Caputo and Caputo-Fabrizio fractional derivatives for modelling Lotka-Volterra differential equations. - Zhanat Kappassov, Daulet Baimukashev, Zharaskhan Kuanyshuly, Yerzhan Massalin, Arshat Urazbayev, Huseyin Atakan Varol:
Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin. - Hannah Lu, Daniel M. Tartakovsky:
Lagrangian Dynamic Mode Decomposition for Construction of Reduced-Order Models of Advection-Dominated Phenomena. - Kaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu:
Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. - Guanghao Yin, Shouqian Sun, Hui Zhang, Dian Yu, Chao Li, Kejun Zhang, Ning Zou:
User independent Emotion Recognition with Residual Signal-Image Network. - Changhong Fu, Ziyuan Huang, Yiming Li, Ran Duan, Peng Lu:
Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification. - Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan:
Exploiting temporal consistency for real-time video depth estimation. - Haoran Wu, Xingya Wang, Jiehui Xu, Weiqin Zou, Lingming Zhang, Zhenyu Chen:
Mutation Testing for Ethereum Smart Contract. - Martin Sulzmann, Kenny Zhuo Ming Lu:
Solving of Regular Equations Revisited (extended version). - Zhili Chen, Xiaoli Kan, Shun Zhang, Lin Chen, Yan Xu, Hong Zhong:
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics. - Junyu Gao, Qi Wang, Yuan Yuan:
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting. - Zhili Chen:
Efficient Three-party Computation: An Information-theoretic Approach from Cut-and-Choose. - Esra Erdem, Andrea Formisano, Germán Vidal, Fangkai Yang:
Introduction to the 35th International Conference on Logic Programming Special Issue. - Divesh Aggarwal, Jianwei Li, Phong Q. Nguyen, Noah Stephens-Davidowitz:
Slide Reduction, Revisited - Filling the Gaps in SVP Approximation. - Miroslav Bogdanovic, Ludovic Righetti:
Learning to Explore in Motion and Interaction Tasks. - Mythili Sharan Pala, Parayitam Laxminarayana, A. V. Ramana:
Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription. - Inga Löser, Ajay Kumar Sampathirao, Steffen Hofmann, Jörg Raisch:
Fallback Strategies in Operation Control of Microgrids with Communication Failures. - Donghuo Zeng, Yi Yu, Keizo Oyama:
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval. - Haoting Liang, Donghuo Zeng, Yi Yu, Keizo Oyama:
Personalized Music Recommendation with Triplet Network. - Donghuo Zeng, Yi Yu, Keizo Oyama:
Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA. - Kyung Ho Park, Eunjo Lee, Huy Kang Kim:
Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM. - Nadezhda Davydova, Dmitry Shchetinin, Gabriela Hug:
Optimization-based Settingless Algorithm Combining Protection and Fault Identification. - Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai:
Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning. - Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory. - Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn:
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. - Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann:
Lifting methods for manifold-valued variational problems. - Arthur Franz, Oleksandr Antonenko, Roman Soletskyi:
A theory of incremental compression. - Zhong Li, Tiantian Zhang, Bo Yuan:
A Critical Note on the Evaluation of Clustering Algorithms. - Bo Zhang, Haiwen Zhang:
An approximate factorization method for inverse acoustic scattering with phaseless near-field data. - Marthe Bonamy, Oscar Defrain, Meike Hatzel, Jocelyn Thiebaut:
Avoidable paths in graphs. - Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators. - Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa:
Object-Aware Instance Labeling for Weakly Supervised Object Detection. - Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science. - Bakhadyr Khoussainov, Toru Takisaka:
Large Scale Geometries of Infinite Strings. - Evgeny M. Khorov, Anton Kiryanov, Alexander Krotov:
Cloud-based Management of Energy-Efficient Dense IEEE 802.11ax Networks. - Hao Chen, Xianmang He, Jian Weng, Liqing Xu:
New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks. - Jonathan Howe, Kyle Pula, Aaron A. Reite:
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery. - Safa Alver, Ugur Halici:
Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance. - Bedoor K. AlShebli, Kinga Makovi, Talal Rahwan:
The Impact of Informal Mentorship in Academic Collaborations. - Hadrien Barral, Rémi Géraud-Stewart, Georges-Axel Jaloyan, David Naccache:
RISC-V: #AlphanumericShellcoding. - Sidney A. Feygin, Jessica R. Lazarus, Edward H. Forscher, Valentine Golfier-Vetterli, Jonathan W. Lee, Abhishek Gupta, Rashid A. Waraich, Colin J. R. Sheppard, Alexandre M. Bayen:
BISTRO: Berkeley Integrated System for Transportation Optimization. - Fredrik Hellman, Axel Målqvist, Siyang Wang:
Numerical upscaling for heterogeneous materials in fractured domains. - Xianda Deng, Hongyu Li, Wenpeng Yu, Weikang Wang, Yilu Liu:
Frequency Observations and Statistic Analysis of Worldwide Main Power Grids Using FNET/GridEye. - Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan:
Exploring the Effect of an Item's Neighborhood on its Sellability in eCommerce. - Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang:
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. - Harish Kashyap K, Kiran Byadarhaly, Saumya Shah:
Supervised Negative Binomial Classifier for Probabilistic Record Linkage. - Philipp Grohs, Fabian Hornung, Arnulf Jentzen, Philipp Zimmermann:
Space-time error estimates for deep neural network approximations for differential equations. - Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang:
AutoGAN: Neural Architecture Search for Generative Adversarial Networks. - Satyaki Sikdar, Justus Hibshman, Tim Weninger:
Modeling Graphs with Vertex Replacement Grammars. - Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong:
MobileFAN: Transferring Deep Hidden Representation for Face Alignment. - Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. - Songyang Zhang, Jinsong Su, Jiebo Luo:
Exploiting Temporal Relationships in Video Moment Localization with Natural Language. - Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. - Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. - Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai:
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition. - Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang:
IoU Loss for 2D/3D Object Detection. - Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-aware Appearance Flow. - Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang:
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. - Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh:
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. - Eleftherios Avramidis, Marta Lalik, Ozgur E. Akman:
SODECL: An Open Source Library for Calculating Multiple Orbits of a System of Stochastic Differential Equations in Parallel. - Guillaume Fertin, Christian Komusiewicz:
Graph Motif Problems Parameterized by Dual. - Qian Zhang, Yinhua Xia:
Discontinuous Galerkin methods for the Ostrovsky-Vakhnenko equation. - A. Roxana Pamfil, Sam D. Howison, Mason A. Porter:
Edge Correlations in Multilayer Networks. - Stanislav Morozov, Artem Babenko:
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. - Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu:
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. - Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
Temporal Knowledge Propagation for Image-to-Video Person Re-identification. - Duo Li, Aojun Zhou, Anbang Yao:
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. - Corentin Barloy, Nathanaël Fijalkow, Nathan Lhote, Filip Mazowiecki:
A Robust Class of Linear Recurrence Sequences. - Grzegorz Dudek:
Data-Driven Randomized Learning of Feedforward Neural Networks. - Kenta Kobayashi, Takuya Tsuchiya:
Lectures on error analysis of interpolation on simplicial triangulations without the shape-regularity assumption and its applications to finite element methods, Part 1: two-dimensional Lagrange interpolation. - Ayoub Mars, Wael Adi:
Digitally Mutating NV-FPGAs into Physically Clone-Resistant Units. - Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao:
Stable spline identification of linear systems under missing data. - Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. - Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu:
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. - Satwik Patnaik, Mohammed Ashraf, Ozgur Sinanoglu, Johann Knechtel:
A Modern Approach to IP Protection and Trojan Prevention: Split Manufacturing for 3D ICs and Obfuscation of Vertical Interconnects. - Shoma Matsui, Kai Cai:
Secret Securing with Multiple Protections and Minimum Costs. - Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. - Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang:
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. - Vanderson Martins do Rosário, Maurício Breternitz Jr., Edson Borin:
Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN). - Svenja Stark, Jan Peters, Elmar Rueckert:
Experience Reuse with Probabilistic Movement Primitives. - Nathanael L. Baisa:
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning. - Gramoz Goranci, Monika Henzinger, Dariusz Leniowski, Alexander Svozil:
Fully Dynamic k-Center Clustering in Doubling Metrics. - Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras:
Tensor Factorization with Label Information for Fake News Detection. - Afshin Oroojlooyjadid, Davood Hajinezhad:
A Review of Cooperative Multi-Agent Deep Reinforcement Learning. - Matthias Niedermaier, Martin Striegel, Felix Sauer, Dominik Merli, Georg Sigl:
Efficient Intrusion Detection on Low-Performance Industrial IoT Edge Node Devices. - Jun Zhao:
Optimizations with Intelligent Reflecting Surfaces (IRSs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple IRSs. - Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
TAPER: Time-Aware Patient EHR Representation. - Gaoqi He, Zhenwei Ma, Binhao Huang, Bin Sheng, Yubo Yuan:
Dynamic Region Division for Adaptive Learning Pedestrian Counting. - Chuanxing Geng, Lue Tao, Songcan Chen:
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. - Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu:
Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel. - Zhiyong Chen, Zongze Ren, Shugong Xu:
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification. - Farhad Farokhi:
Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon. - Joshua Brakensiek, Ray Li, Bruce Spang:
Coded trace reconstruction in a constant number of traces. - Jason Teutsch, Michael Straka, Dan Boneh:
Retrofitting a two-way peg between blockchains. - Wenjie Mei, Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Mixed $H_2/H_{\infty}$ Control for Markov Jump Linear Systems with State and Mode-observation Delays. - Vaibhav, Po-Yao Huang, Robert E. Frederking:
RWR-GAE: Random Walk Regularization for Graph Auto Encoders. - Sisi Li, Nan Li, Anouck Girard, Ilya V. Kolmanovsky:
Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving. - Jia-Nan Guo, Xianling Mao, Xiao-Jian Jiang, Ying-Xiang Sun, Wei Wei, He Yan Huang:
Deep Hashing for Signed Social Network Embedding. - Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. - Gabriel Gomes:
Open Traffic Models - A framework for hybrid simulation of transportation networks. - Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang:
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method. - Tan Wang, Xing Xu, Yang Yang, Alan Hanjalic, Heng Tao Shen, Jingkuan Song:
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking. - Kun Cheng, Hao-Zhi Huang, Chun Yuan, Lingyiqing Zhou, Wei Liu:
Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer. - Vincent Falconieri:
Douglas-Quaid - Open Source Image Matching Library. - Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. - Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. - Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan:
An overlapping-free leaf segmentation method for plant point clouds. - Neri Merhav:
A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code. - Oliver Mothes, Joachim Denzler:
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents. - Yanru Qu, Ting Bai, Weinan Zhang, Jian-Yun Nie, Jian Tang:
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. - Joakim Bruslund Haurum, Chris H. Bahnsen, Thomas B. Moeslund:
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras. - Eleftherios Lampiris, Jingjing Zhang, Osvaldo Simeone, Petros Elia:
Fundamental Limits of Wireless Caching under Uneven-Capacity Channels. - Ramanathan S. Thinniyam, Georg Zetzsche:
Regular Separability and Intersection Emptiness are Independent Problems. - Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie N. Lindstaedt, Elisabeth Lex:
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. - Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media. - Ahmadreza Montazerolghaem:
SIP Server Load Balancing Based on SDN. - Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. - Yitian Yuan, Lin Ma, Wenwu Zhu:
Sentence Specified Dynamic Video Thumbnail Generation. - Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays. - Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu:
Explicit Shape Encoding for Real-Time Instance Segmentation. - Damjan Vavpotic, Marko Robnik-Sikonja, Tomaz Hovelja:
Exploring the relations between net benefits of IT projects and CIOs' perception of quality of software development disciplines. - Arnaud de Mesmay, Marcus Schaefer, Eric Sedgwick:
Link Crossing Number is NP-hard. - Erin C. Carson:
An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating. - Sixian Li, Bin Duo, Xiaojun Yuan, Ying-Chang Liang, Marco Di Renzo:
Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming. - Rui Liu, Dominique Li:
An Efficient Skyline Computation Framework. - Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. - Yuan Gao, Elena Sibirtseva, Ginevra Castellano, Danica Kragic:
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction. - Andrea Mannocci, Francesco Osborne, Enrico Motta:
The Evolution of IJHCS and CHI: A Quantitative Analysis. - Leonel Merino, Ekaterina Kozlova, Oscar Nierstrasz, Daniel Weiskopf:
VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability. - Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio, Giuseppe Riccardi:
Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning. - Davide Taibi, Valentina Lenarduzzi, Claus Pahl:
Microservices Anti Patterns: A Taxonomy. - Sven Mallach:
A Natural Quadratic Approach to the Generalized Graph Layering Problem. - Zhou Yu, Yuhao Cui, Jun Yu, Dacheng Tao, Qi Tian:
Multimodal Unified Attention Networks for Vision-and-Language Interactions. - Haide Wang, Ji Zhou, Weiping Liu, Jianping Li, Xincheng Huang, Long Liu, Weixian Liang, Changyuan Yu, Fan Li, Zhaohui Li:
BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects. - Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou:
Enhanced 3D convolutional networks for crowd counting. - Mika Mäntylä, Vahid Garousi:
Citations in Software Engineering - Paper-related, Journal-related, and Author-related Factors. - Roberto Annunziata, Christos Sagonas, Jacques Calì:
Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing. - Matthias Niedermaier, Dominik Merli, Georg Sigl:
A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices. - Pierangelo Rosati, Frank Fowley, Claus Pahl, Davide Taibi, Theo Lynn:
Right Scaling for Right Pricing: A Case Study on Total Cost of Ownership Measurement for Cloud Migration. - Monika Henzinger, Alexander Noe, Christian Schulz:
Shared-Memory Branch-and-Reduce for Multiterminal Cuts. - Jie Yang, Shi Jin, Chao-Kai Wen, Jiajia Guo, Michail Matthaiou:
3-D Positioning and Environment Mapping for mmWave Communication Systems. - Thomas Yuang Li, Shaoshan Liu:
Enabling Commercial Autonomous Space Robotic Explorers. - Ziteng Gao, Limin Wang, Gangshan Wu:
LIP: Local Importance-based Pooling. - Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. - Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang:
Domain-Specific Embedding Network for Zero-Shot Recognition. - Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. - Johan Mazel, Rémi Strullu:
Identifying and characterizing ZMap scans: a cryptanalytic approach. - Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh, Gopinath Mishra:
Hyperedge Estimation using Polylogarithmic Subset Queries. - Andreas Darmann, Janosch Döcker:
On simplified NP-complete variants of Not-All-Equal 3-Sat and 3-Sat. - Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Assessing the Quality of Scientific Papers. - Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado:
On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems. - Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler:
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. - Ye Xue, Diego Klabjan, Yuan Luo:
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. - Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer:
On the Validity of Self-Attention as Explanation in Transformer Models. - Teemu Ruokolainen, Pekka Kauppinen, Miikka Silfverberg, Krister Lindén:
A Finnish News Corpus for Named Entity Recognition. - Hudson Borges, Marco Túlio Valente:
How do Developers Promote Open Source Projects? - Murthy Durbhakula:
MLP Aware Scheduling Techniques in Multithreaded Processors. - Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze:
Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country. - Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro:
Automatic Model Monitoring for Data Streams. - Weizhang Huang, Lennard Kamenski, Jens Lang:
A new anisotropic mesh adaptation method based upon hierarchical a posteriori error estimates. - Murthy Durbhakula:
Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers. - Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali:
Secure Coded Multi-Party Computation for Massive Matrix Operations. - Tsong-Ming Liaw, Simon C. Lin:
A General Theory of Concept Lattice (II): Tractable Lattice Construction and Implication Extraction. - Emanuela Merelli, Anita Wasilewska:
Topological Interpretation of Interactive Computation. - Mircea Namolaru, Thierry Goubier:
Recursion, Probability, Convolution and Classification for Computations. - Julian Marcon, David A. Kopriva, Spencer J. Sherwin, Joaquim Peiró:
Naturally curved quadrilateral mesh generation using an adaptive spectral element solver. - Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li:
Multi-modality Latent Interaction Network for Visual Question Answering. - Dan R. Ghica:
The far side of the cube. - Ümit Rusen Aktas, Chao Zhao, Marek Sewer Kopicki, Ales Leonardis, Jeremy L. Wyatt:
Deep Dexterous Grasping of Novel Objects from a Single View. - Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic:
Super-resolution of Omnidirectional Images Using Adversarial Learning. - Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston:
Neural Text Generation with Unlikelihood Training. - Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection. - Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation. - Nachum Dershowitz:
Nonleaf Patterns in Trees: Protected Nodes and Fine Numbers. - Sanidhya Mangal, Poorva Joshi, Rahul Modak:
LSTM vs. GRU vs. Bidirectional RNN for script generation. - John Kanji, David I. W. Levin:
Convolutional Humanoid Animation via Deformation. - Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng:
Feature Partitioning for Efficient Multi-Task Architectures. - Nilavra Bhattacharya, Qing Li, Danna Gurari:
Why Does a Visual Question Have Different Answers? - Sharmin Pathan:
AI Décor. - Guo-Hua Wang, Jianxin Wu:
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. - Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. - Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez:
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. - Francesco Ventura, Tania Cerquitelli:
What's in the box? Explaining the black-box model through an evaluation of its interpretable features. - Richard Cobos, Jefferson Hernandez, Andres G. Abad:
A fast multi-object tracking system using an object detector ensemble. - Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida:
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation. - Dong Cao, Lisha Xu, Haibo Chen:
Action Recognition in Untrimmed Videos with Composite Self-Attention Two-Stream Framework. - Shahriar Sefati, Shahin Sefati, Iulian Iordachita, Russell H. Taylor, Mehran Armand:
Learning to Detect Collisions for Continuum Manipulators without a Prior Model. - Divyam Madaan, Sung Ju Hwang:
Adversarial Neural Pruning. - Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton:
AmazonQA: A Review-Based Question Answering Task. - Nyyti Saarimäki:
Methodological Issues in Observational Studies. - Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. - Shu Yang, Laizhong Cui, Xinhao Deng, Qi Li, Yulei Wu, Mingwei Xu, Dan Wang, Jianping Wu:
Two Dimensional Router: Design and Implementation. - Grzegorz Cisek, Tomasz P. Zielinski:
Prototyping Software Transceiver for the 5G New Radio Physical Uplink Shared Channel. - Jeffrey M. Dudek, Leonardo Dueñas-Osorio, Moshe Y. Vardi:
Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions. - Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. - Ameer Pasha Hosseinbor, Renat Zhdanov, Alexander Ushveridze:
An Unsupervised, Iterative N-Dimensional Point-Set Registration Algorithm. - Zheng Liu, Zidong Jiang, Feng Wei:
OD-GCN object detection by knowledge graph with GCN. - Koba Natroshvili:
Detection of the Group of Traffic Signs with Central Slice Theorem. - Muhammad K. A. Hamdan, Diane T. Rover, John Just:
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. - Faruk Ahmed, Aaron C. Courville:
Detecting semantic anomalies. - Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani B. Srivastava:
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning. - Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien:
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks. - Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement. - Husein Perez, Joseph H. M. Tah, Amir Mosavi:
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks. - Umut Ozkaya, Levent Seyfi:
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability. - Xiaolin Wu, Xi Zhang, Jun Du:
Challenge of Spatial Cognition for Deep Learning. - Andrew Jason Shepley:
Face Recognition in Unconstrained Conditions: A Systematic Review. - Marios Zarifakis, William T. Coffey, Yuri P. Kalmykov, Serguey V. Titov, Declan J. Byrne, Stephen J. Carrig:
Active Damping of Power Oscillations Following Frequency Changes in Low Inertia Power Systems. - Marios Zarifakis, Declan J. Byrne, William T. Coffey, Yuri P. Kalmykov, Serguey V. Titov, Stephen J. Carrig:
Comparison of coupled nonlinear oscillator models for the transient response of power generating stations connected to low inertia systems. - Yo-Sub Han, Hwee Kim:
Cyclic Oritatami Systems Cannot Fold Infinite Fractal Curves. - Afroza Shirin, Isaac S. Klickstein, Francesco Sorrentino:
Stability Analysis of Reservoir Computers Dynamics via Lyapunov Functions. - Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. - Navid Rezazadeh, Solmaz S. Kia:
A sub-modular receding horizon solution for mobile multi-agent persistent monitoring. - Mark A. Taylor, Oksana Guba, Andrew Steyer, Paul A. Ullrich, David Hall, Christopher Eldred:
An energy consistent discretization of the nonhydrostatic equations in primitive variables. - Juntao Chen, Quanyan Zhu, Tamer Basar:
Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks. - Philip Bontrager, Ahmed Khalifa, Damien Anderson, Matthew Stephenson, Christoph Salge, Julian Togelius:
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games. - Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang:
Learning Target-oriented Dual Attention for Robust RGB-T Tracking. - Xi Zheng, Sheng Zhou, Zhisheng Niu:
Context-Aware Information Lapse for Timely Status Updates in Remote Control Systems. - Abdulrahman Alreshidi:
Towards Security as a Service to Protect the Critical Resources of Mobile Computing Devices. - Adel Kacem, Abdelaziz Dammak:
Multi-objective scheduling on two dedicated processors. - Pedro Savarese:
On the Convergence of AdaBound and its Connection to SGD. - Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong:
Linking Graph Entities with Multiplicity and Provenance. - Florian Hofer, Martin A. Sehr, Antonio Iannopollo, Ines Ugalde, Alberto L. Sangiovanni-Vincentelli, Barbara Russo:
Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS. - Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca:
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. - Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. - Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li:
Exploiting Multi-domain Visual Information for Fake News Detection. - Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti:
On Defending Against Label Flipping Attacks on Malware Detection Systems. - Thomas Seiller, Steffen Jost:
Proceedings Third Joint Workshop on Developments in Implicit Computational complExity and Foundational & Practical Aspects of Resource Analysis, DICE-FOPARA@ETAPS 2019, Prague, Czech Republic, April 6-7, 2019. EPTCS 298, 2019 [contents] - Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna:
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. - Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts:
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. - Ziqi Yan, Gang Li, Jiqiang Liu:
Private Rank Aggregation under Local Differential Privacy. - Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu:
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds. - Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Black Box Models. - Trygve Bærland:
An Auxiliary Space Preconditioner for Fractional Laplacian of Negative Order. - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. - Michael Flanders:
A Simple and Intuitive Algorithm for Preventing Directory Traversal Attacks. - Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. - Huashan Chen, Marcus Pendleton, Laurent Njilla, Shouhuai Xu:
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses. - Ranadeep Biswas, Constantin Enea:
On the Complexity of Checking Transactional Consistency. - Ruslan Nikolaev:
A Scalable, Portable, and Memory-Efficient Lock-Free FIFO Queue. - Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. - Zhi-Hong Deng:
Beyond the Inverted Index. - Usama Naseer, Theophilus Benson:
ConfigTron: Tackling network diversity with heterogeneous configurations. - Jin Xia, Jiajun Tang, Cewu Lu:
Three Branches: Detecting Actions With Richer Features. - Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang:
SDM-NET: Deep Generative Network for Structured Deformable Mesh. - Ronit Kumar, Lidong Cheng, Bin Xie, Feng Xiao:
THINC-scaling scheme that unifies VOF and level set methods. - Jiangnan Xia, Chen Wu, Ming Yan:
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. - Gudbjartur Ingi Sigurbergsson, Leon Derczynski:
Offensive Language and Hate Speech Detection for Danish. - Wenbo Gong, Sebastian Tschiatschek, Richard E. Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang:
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model. - Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King:
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. - Bruce Collie, Philip Ginsbach, Michael F. P. O'Boyle:
Type-Directed Program Synthesis and Constraint Generation for Library Portability. - Rémi Abgrall, Philipp Öffner, Hendrik Ranocha:
Reinterpretation and Extension of Entropy Correction Terms for Residual Distribution and Discontinuous Galerkin Schemes. - Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert:
Loop Closure Detection in Closed Environments. - René Bødker Christensen, Olav Geil:
On Steane-Enlargement of Quantum Codes from Cartesian Product Point Sets. - Jenni Raitoharju, Alexandros Iosifidis:
Null Space Analysis for Class-Specific Discriminant Learning. - Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert:
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors. - Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia:
EASSE: Easier Automatic Sentence Simplification Evaluation. - Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. - Erik Sy:
Enhanced Performance and Privacy via Resolver-Less DNS. - Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Matteo Cinelli, Leto Peel, Antonio Iovanella, Jean-Charles Delvenne:
Network constraints on the mixing patterns of binary node metadata. - Gernot Herbst:
A Building-Block Approach to State-Space Modeling of DC-DC Converter Systems. - Gernot Herbst:
A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners. - Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. - Seung-Woo Ko, Hyukjin Chae, Kaifeng Han, Seungmin Lee, Kaibin Huang:
V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions. - Gernot Herbst:
Practical Active Disturbance Rejection Control: Bumpless Transfer, Rate Limitation and Incremental Algorithm. - Sergii Kushch, Silvio Ranise, Giada Sciarretta:
Blockchain Tree for eHealth. - Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. - Mohammed Khwaja, Sumer S. Vaid, Sara Zannone, Gabriella M. Harari, A. Aldo Faisal, Aleksandar Matic:
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models. - Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, Pascale Fung:
Getting To Know You: User Attribute Extraction from Dialogues. - Jakub Michaliszyn, Jan Otop:
Non-deterministic weighted automata evaluated over Markov chains. - Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. - Xindi Wang, Onur Varol, Tina Eliassi-Rad:
L2P: An Algorithm for Estimating Heavy-tailed Outcomes. - Tiago Machado, Daniel Gopstein, Oded Nov, Angela Wang, Andy Nealen, Julian Togelius:
Evaluation of a Recommender System for Assisting Novice Game Designers. - Alexander Telnykh, Irina V. Nuidel, Yu. R. Samorodova:
Construction of efficient detectors for character information recognition. - Omkarendra Tiwari, Rushikesh K. Joshi:
Extract Method Refactoring by Successive Edge Contraction. - Frantisek Blahoudek, Juraj Major, Jan Strejcek:
LTL to Smaller Self-Loop Alternating Automata and Back. - Abdullah Rashwan, Agastya Kalra, Pascal Poupart:
Matrix Nets: A New Deep Architecture for Object Detection. - Thomas P. Wihler, Marcel Wirz:
Stability and Convergence of Spectral Mixed Discontinuous Galerkin Methods for 3D Linear Elasticity on Anisotropic Geometric Meshes. - William H. Weir, Benjamin Walker, Lenka Zdeborová, Peter J. Mucha:
Modularity belief propagation on multilayer networks to detect significant community structure. - Vladimir N. Temlyakov, Mario Ullrich:
On the fixed volume discrepancy of the Fibonacci sets in the integral norms. - Peter Potash, Kaheer Suleman:
Playing log(N)-Questions over Sentences. - Huayang Li, Guoping Huang, Lemao Liu:
Neural Machine Translation with Noisy Lexical Constraints. - Benjamin Aram Berendsohn, László Kozma, Dániel Marx:
Finding and counting permutations via CSPs. - Andreas Vogelsang, Markus Borg:
Requirements Engineering for Machine Learning: Perspectives from Data Scientists. - Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. - Marin Toromanoff, Émilie Wirbel, Fabien Moutarde:
Is Deep Reinforcement Learning Really Superhuman on Atari? - Nicola Prezza, Giovanna Rosone:
Space-Efficient Construction of Compressed Suffix Trees. - Zhaohui Yang, Cunhua Pan, Jiancao Hou, Mohammad Shikh-Bahaei:
Efficient Resource Allocation for Mobile-Edge Computing Networks with NOMA: Completion Time and Energy Minimization. - David Puljiz, Erik Stöhr, Katharina S. Riesterer, Björn Hein, Torsten Kröger:
General Hand Guidance Framework using Microsoft HoloLens. - Shih-Chieh Su:
Channel Decomposition on Generative Networks. - Saurabh Daptardar, Paul R. Schrater, Xaq Pitkow:
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics. - Mathias Blumreiter, Joel Greenyer, Francisco Javier Chiyah Garcia, Verena Klös, Maike Schwammberger, Christoph Sommer, Andreas Vogelsang, Andreas Wortmann:
Towards Self-Explainable Cyber-Physical Systems. - Emile van Krieken, Erman Acar, Frank van Harmelen:
Semi-Supervised Learning using Differentiable Reasoning. - Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim M. Hazelwood, David Brooks:
Exploiting Parallelism Opportunities with Deep Learning Frameworks. - William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet:
metric-learn: Metric Learning Algorithms in Python. - Utku Sirin, Anastasia Ailamaki:
Micro-architectural Analysis of OLAP: Limitations and Opportunities. - Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. - Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. - Zewen Chi, Heyan Huang, Heng-Da Xu, Houjin Yu, Wanxuan Yin, Xianling Mao:
Complicated Table Structure Recognition. - Tom Everitt, Marcus Hutter:
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective. - Feliks Nüske, Patrick Gelß, Stefan Klus, Cecilia Clementi:
Tensor-based EDMD for the Koopman analysis of high-dimensional systems. - Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars:
Online Continual Learning with Maximally Interfered Retrieval. - Pavel Denisov, Ngoc Thang Vu:
IMS-Speech: A Speech to Text Tool. - Kyle Kuan, Tosiron Adegbija:
Energy and Performance Analysis of STTRAM Caches for Mobile Applications. - Alexander Katsevich:
Resolution analysis of inverting the generalized Radon transform from discrete data in $\mathbb R^3$. - Yufang Hou:
Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention. - Jason Teutsch, Christian Reitwießner:
A scalable verification solution for blockchains. - Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. - Andrey V. Shanin, A. I. Korolkov:
Sommerfeld type integrals for discrete diffraction problems. - Zhaohong Deng, Ruixiu Liu, Te Zhang, Peng Xu, Kup-Sze Choi, Bin Qin, Shitong Wang:
Multi-view Clustering with the Cooperation of Visible and Hidden Views. - Zhaohong Deng, Chen Cui, Peng Xu, Ling Liang, Haoran Chen, Te Zhang, Shitong Wang:
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition. - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou:
Adaptive Learning of Aggregate Analytics under Dynamic Workloads. - Xusen Yin, Jonathan May:
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games. - Mario Stipcevic, Mateja Batelic:
Improved circuits for a biologically-inspired random pulse computer. - Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics from Video. - Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham:
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. - Eduardo M. Hargreaves, Daniel Sadoc Menasché, Giovanni Neglia:
How often should I access my online social networks? - Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, Heuiseok Lim:
Domain Adaptive Training BERT for Response Selection. - Matthew Turner, Hana Khamfroush:
Meeting QoS of Users in a Edge to Cloud Platform via Optimally Placing Services and Scheduling Tasks. - Kevin K. Bowden, JiaQi Wu, Wen Cui, Juraj Juraska, Vrindavan Harrison, Brian Schwarzmann, Nicholas Santer, Steve Whittaker, Marilyn A. Walker:
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System. - Xochitl Watts, Freddy Lécué:
Local Score Dependent Model Explanation for Time Dependent Covariates. - Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam:
SP-NET: One Shot Fingerprint Singular-Point Detector. - Abir De, Soumen Chakrabarti:
Privacy Preserving Link Prediction with Latent Geometric Network Models. - Jay Jacobs, Sasha Romanosky, Benjamin Edwards, Michael Roytman, Idris Adjerid:
Exploit Prediction Scoring System (EPSS). - Sakshyam Panda, Daniel W. Woods, Aron Laszka, Andrew Fielder, Emmanouil Panaousis:
Post-Incident Audits on Cyber Insurance Discounts. - Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Joint Precoding and Power Control in Small-Cell Networks With Proportional-Rate MISO-BC Backhaul. - Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung:
Cross-Layer Scheduling and Beamforming in Smart Grid Powered Small-Cell Networks. - Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis:
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. - Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri:
Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews. - Mohit Srinivasan, Samuel Coogan:
Control Of Mobile Robots Using Barrier Functions Under Temporal Logic Specifications. - Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. - Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu:
Constrained Multi-Objective Optimization for Automated Machine Learning. - Stefan Metzger:
An efficient and convergent finite element scheme for Cahn-Hilliard equations with dynamic boundary conditions. - Nicolas H. Christianson, Ann Sizemore Blevins, Danielle S. Bassett:
Architecture and evolution of semantic networks in mathematics texts. - Kimmo Kärkkäinen, Jungseock Joo:
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age. - Shiyang Yan, Jun Xu, Yuai Liu, Lin Xu:
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning. - Ya Zhao, Rui Xu, Mingli Song:
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading. - Qingzhong Wang, Antoni B. Chan:
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process. - Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu:
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability. - Lê Thành Dung Nguyên:
On the Elementary Affine Lambda-Calculus with and Without Fixed Points. 15-29 - Paulin Jacobé de Naurois:
Pointers in Recursion: Exploring the Tropics. 31-45 - Bruce M. Kapron, Florian Steinberg:
Type-two Iteration with Bounded Query Revision. 61-73 - Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao:
Tensor-Train Parameterization for Ultra Dimensionality Reduction. - Daniel Khashabi:
Reasoning-Driven Question-Answering for Natural Language Understanding. - Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim:
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents. - Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. - Dominik Köppl, Tomohiro I, Isamu Furuya, Yoshimasa Takabatake, Kensuke Sakai, Keisuke Goto:
Re-Pair In-Place. - Gudi Siva Leela Krishna Chand, Benjamin Johnston, Mary-Anne Williams:
Fog Robotics: A Summary, Challenges and Future Scope. - Siwoo Song, Cheol Ryu, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Cartesian Tree Matching. - Alphan Sahin, Xiaofei Wang, Hanqing Lou, Rui Yang:
Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. - Han He, Jinho D. Choi:
Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. - Wojciech Jamroga, Peter B. Rønne, Peter Y. A. Ryan, Philip B. Stark:
Risk-Limiting Tallies. - Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville:
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. - Qing Yu, Kiyoharu Aizawa:
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. - Farhad Farokhi:
Taking a Lesson from Quantum Particles for Statistical Data Privacy. - Joseph Campbell, Simon Stepputtis, Heni Ben Amor:
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. - S. M. Zobaed, Sahan Ahmad, Raju Gottumukkala, Mohsen Amini Salehi:
ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. - Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao:
Learning Two-View Correspondences and Geometry Using Order-Aware Network. - Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. - My Phan, Yasin Abbasi-Yadkori, Justin Domke:
Thompson Sampling and Approximate Inference. - Barna Saha, Sanjay Subramanian:
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. - Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian:
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models. - Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao:
Memory-Based Neighbourhood Embedding for Visual Recognition. - Kai Chen, Zhongrui Lin, Jian Wan, Chungen Xu:
Interpretable Encrypted Searchable Neural Networks. - Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague:
Stop the Open Data Bus, We Want to Get Off. - Christoph Kamann, Carsten Rother:
Benchmarking the Robustness of Semantic Segmentation Models. - Jake H. Lee, Kiri L. Wagstaff:
Visualizing Image Content to Explain Novel Image Discovery. - Seung Jae Lee, Seung Hyun Kim, H. Jin Kim:
Robust Translational Force Control of Multi-Rotor UAV for Precise Acceleration Tracking. - Debayan Deb, Jianbang Zhang, Anil K. Jain:
AdvFaces: Adversarial Face Synthesis. - Hongyin Zhu, Wenpeng Hu, Yi Zeng:
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. - Philip Sperl, Konstantin Böttinger:
Side-Channel Aware Fuzzing. - Emilio Di Giacomo, Giuseppe Liotta, Fabrizio Montecchiani:
Sketched Representations and Orthogonal Planarity of Bounded Treewidth Graphs. - László Csirmaz:
Complexity of universal access structures. - Shizhou Zhang, Qi Zhang, Xing Wei, Peng Wang, Bingliang Jiao, Yanning Zhang:
Person Re-identification in Aerial Imagery. - Martin Halla:
Galerkin approximation of holomorphic eigenvalue problems: weak T-coercivity and T-compatibility. - Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei:
Computing and Communicating Functions in Disorganized Wireless Networks. - Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan:
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. - Vincent Christlein, Lukas Spranger, Mathias Seuret, Anguelos Nicolaou, Pavel Král, Andreas Maier:
Deep Generalized Max Pooling. - Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. - Emma Fitzgerald, Michal Pióro, Artur Tomaszewski:
Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication. - Michael Cashmore, Anna Collins, Benjamin Krarup, Senka Krivic, Daniele Magazzeni, David E. Smith:
Towards Explainable AI Planning as a Service. - Yi Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng, Yu-Hsuan Deng, Shang-Yu Su, Yun-Nung Chen:
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling. - José Moura, David Hutchison:
Cyber-Physical Systems Resilience: State of the Art, Research Issues and Future Trends. - Ke Sun, Zhouchen Lin, Zhanxing Zhu:
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. - Iago A. Carvalho, Thiago F. Noronha, Christophe Duhamel:
Algorithms the min-max regret 0-1 Integer Linear Programming Problem with Interval Data. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. - Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann:
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs. - Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation. - Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin:
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. - Pranav Ashok, Jan Kretínský, Maximilian Weininger:
Approximating Values of Generalized-Reachability Stochastic Games. - Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren:
WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep. - Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard:
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. - Yi Ting Yeh, Yun-Nung Chen:
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension. - Romeo Ortega, Stanislav Aranovskiy, Anton A. Pyrkin, Alessandro Astolfi, Alexey A. Bobtsov:
New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases. - Pierrick Gaudry:
Breaking the encryption scheme of the Moscow internet voting system. - Mathijs Mul, Diane Bouchacourt, Elia Bruni:
Mastering emergent language: learning to guide in simulated navigation. - Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, Huan Zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang:
MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. - Sabine Frittella, Krishna Manoorkar, Alessandra Palmigiano, Apostolos Tzimoulis, Nachoem M. Wijnberg:
Toward a Dempster-Shafer theory of concepts. - Malte Splietker, Sven Behnke:
Directional TSDF: Modeling Surface Orientation for Coherent Meshes. - Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao:
SG-Net: Syntax-Guided Machine Reading Comprehension. - Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network. - Adam Gagol, Damian Lesniak, Damian Straszak, Michal Swietek:
Aleph: Efficient Atomic Broadcast in Asynchronous Networks with Byzantine Nodes. - Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. - Antoine Wehenkel, Gilles Louppe:
Unconstrained Monotonic Neural Networks. - Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang:
A Tour of Convolutional Networks Guided by Linear Interpreters. - Clement S. J. Doire, Olumide Okubadejo:
Interleaved Multitask Learning for Audio Source Separation with Independent Databases. - Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang:
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. - Lukas Dominique Josef Fiederer, Hisham Alwanni, Martin Völker, Oliver Schnell, Jürgen Beck, Tonio Ball:
A Research Framework for Virtual Reality Neurosurgery Based on Open-Source Tools. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi:
Dual Heuristic Dynamic Programing Control of Grid-Connected Synchronverters. - Siobhán Grayson, Derek Greene:
Temporal Analysis of Reddit Networks via Role Embeddings. - Seung Ju Cho, Tae Joon Jun, Byungsoo Oh, Daeyoung Kim:
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. - Anders Aamand, Piotr Indyk, Ali Vakilian:
(Learned) Frequency Estimation Algorithms under Zipfian Distribution. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator. - Irawan Nurhas, Stefan Geisler, Jan M. Pawlowski:
Why Should the Q-method be Integrated Into the Design Science Research? A Systematic Mapping Study. - Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli:
On The Evaluation of Machine Translation Systems Trained With Back-Translation. - Hao Yang, Hao Wu, Hao Chen:
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes. - Miaomiao Ma, Dan Jiao:
Accuracy Controlled Structure-Preserving ${\cal H}^2$-Matrix-Matrix Product in Linear Complexity with Change of Cluster Bases. - Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar:
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. - Sarang Sutavani, K. Sonam, S. R. Wagh, Navdeep M. Singh:
Disturbance Decoupling and Instantaneous Fault Detection in Boolean Control Networks. - Morteza Banagar, Harpreet S. Dhillon:
Performance Characterization of Canonical Mobility Models in Drone Cellular Networks. - Ikponmwosa Idehen, Wonhyeok Jang, Thomas J. Overbye:
PMU Data Feature Considerations for Realistic, Synthetic Data Generation. - Iryna Kulchytska-Ruchka, Sebastian Schöps:
Efficient Parallel-in-Time Solution of Time-Periodic Problems Using a Multi-Harmonic Coarse Grid Correction. - Isuru S. Godage:
Swimming locomotion of Soft Robotic Snakes. - Hannah Youngeun An, Aaron Steven White:
The lexical and grammatical sources of neg-raising inferences. - Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez:
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. - Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. - Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning with Global Class Representations. - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. - Yang Hu, Giovanni Montana:
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity. - Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay:
Towards Debiasing Fact Verification Models. - Sandra Kiefer, Daniel Neuen:
The Power of the Weisfeiler-Leman Algorithm to Decompose Graphs. - Rahul Mitra, Nitesh B. Gundavarapu, Sudharshan Chandra Babu, Prashasht Bindal, Abhishek Sharma, Arjun Jain:
3D Human Pose Estimation under limited supervision using Metric Learning. - Jason Z. S. Hu, Ondrej Lhoták:
Undecidability of $D_{<: }$ and Its Decidable Fragments. - Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar, Marta M. Jankowska:
Predicting Eating Events in Free Living Individuals - A Technical Report. - Ruffin White, Gianluca Caiazza, Chenxu Jiang, Xinyue Ou, Zhiyue Yang, Agostino Cortesi, Henrik I. Christensen:
Network Reconnaissance and Vulnerability Excavation of Secure DDS Systems. - Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. - Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. - Özge Nilay Yalçin:
Evaluating Empathy in Artificial Agents. - Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. - Henry Förster, Robert Ganian, Fabian Klute, Martin Nöllenburg:
On Strict (Outer-)Confluent Graphs. - Jeffrey R. Peters, Amit Surana, Grant S. Taylor, Terry S. Turpin, Francesco Bullo:
UAV Surveillance Under Visibility and Dwell-Time Constraints: A Sampling-Based Approach. - Malte Schilling, Helge J. Ritter, Frank W. Ohl:
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning - Insights from Biological Systems on Adaptive Flexibility. - Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. - David Knothe, Frederick Pietschmann:
Large-Scale-Exploit of GitHub Repository Metadata and Preventive Measures. - Janosch Döcker, Britta Dorn, Simone Linz, Charles Semple:
Placing quantified variants of 3-SAT and Not-All-Equal 3-SAT in the polynomial hierarchy. - Diptendu Mohan Kar, Indrajit Ray:
Systematization of Knowledge and Implementation: Short Identity-Based Signatures. - Weizhang Huang, Lennard Kamenski, Jens Lang:
Stability of explicit Runge-Kutta methods for high order finite element approximation of linear parabolic equations. - Oindrila Chatterjee, Shantanu Chakrabartty:
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems. - Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. - Henrique Ferrolho, Wolfgang Merkt, Carlo Tiseo, Sethu Vijayakumar:
Comparing Metrics for Robustness Against External Perturbations in Dynamic Trajectory Optimization. - Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever de F. Bassani, Aluízio F. R. Araújo:
MOEA/D with Uniformly Randomly Adaptive Weights. - Yasaman Keshtkarjahromi, Rawad Bitar, Venkat R. Dasari, Salim El Rouayheb, Hulya Seferoglu:
Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. - Mandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla:
HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data. - Mohammad Saleh Sanjarinia, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi:
Analysis of Various Transformer Structures for High Frequency Isolation Applications. - Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang:
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks. - Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. - Satnam Kaur, Paramvir Singh:
How does Object-Oriented Code Refactoring Influence Software Quality? Research Landscape and Challenges. - Meng Wu, Jingbo Wang, Jyotirmoy Deshmukh, Chao Wang:
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems. - Yuqing Song, Shizhe Chen, Yida Zhao, Qin Jin:
Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards. - Zhuoxuan Jiang, Xian-Ling Mao, Ziming Huang, Jie Ma, Shaochun Li:
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability. - Hancheng Cao, Zhilong Chen, Fengli Xu, Tao Wang, Yujian Xu, Lianglun Zhang, Yong Li:
When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian. - David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. - Matthew Gray:
"LOADS of Space": Local Order Agnosticism and Bit Flip Efficient Data Structure Codes. - Pengyuan Liu, Yuning Deng, Chenghao Zhu, Han Hu:
XCMRC: Evaluating Cross-lingual Machine Reading Comprehension. - Youfa Li, Wenchang Sun:
Generalized Haar condition-based phaseless random sampling for compactly supported functions in shift-invariant spaces. - Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. - Yuze Gao, Yu Yuan:
Feature-Less End-to-End Nested Term Extraction. - Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang:
Domain-adversarial Network Alignment. - Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong:
Connected Fair Allocation of Indivisible Goods. - Longshaokan Wang, Eric B. Laber, Yeng Saanchi, Sherrie Caltagirone:
Sex Trafficking Detection with Ordinal Regression Neural Networks. - Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
Temporal Collaborative Ranking Via Personalized Transformer. - Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li:
Learning Trajectory Dependencies for Human Motion Prediction. - Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. - Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. - David Eppstein, Michael T. Goodrich, James A. Liu, Pedro Matias:
Tracking Paths in Planar Graphs. - Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. - Reut Tsarfaty, Amit Seker, Shoval Sadde, Stav Klein:
What's Wrong with Hebrew NLP? And How to Make it Right. - Shaoqing Zhou, Wei Xu, Kezhi Wang, Cunhua Pan, Mohamed-Slim Alouini, Arumugam Nallanathan:
Ergodic Rate Analysis of Cooperative Ambient Backscatter Communication. - Sami Kairajärvi, Andrei Costin, Timo Hämäläinen:
Towards usable automated detection of CPU architecture and endianness for arbitrary binary files and object code sequences. - Ziheng Wang, Sree Harsha Nelaturu:
Accelerated CNN Training Through Gradient Approximation. - Viktor Voss, Liudmyla Nechepurenko, Rudi Schaefer, Steffen Bauer:
Playing a Strategy Game with Knowledge-Based Reinforcement Learning. - Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia:
Adaptive Regularization of Labels. - (Withdrawn) Improved Mix-up with KL-Entropy for Learning From Noisy Labels.
- Alessandra Lumini, Loris Nanni, Gianluca Maguolo:
Deep learning for Plankton and Coral Classification. - Meghdad Farahmand:
A Multivariate Model for Representing Semantic Non-compositionality. - Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni:
Ensemble Kalman filter for multiscale inverse problems. - Pengfei Wang, Chengquan Zhang, Fei Qi, Zuming Huang, Mengyi En, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi:
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning. - Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer:
SAX Navigator: Time Series Exploration through Hierarchical Clustering. - Onel L. Alcaraz López, Hirley Alves, Matti Latva-aho:
Distributed Rate Control in Downlink NOMA Networks with Reliability Constraints. - Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li:
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning. - Giuseppe Greco, Fei Liang, Michael Moortgat, Alessandra Palmigiano:
Vector spaces as Kripke frames. - Rose Bohrer, André Platzer:
Toward Structured Proofs for Dynamic Logics. - Gabriele Ciaramella, Tommaso Vanzan:
Substructured Two-level and Multilevel Domain Decomposition Methods. - Amir Atapour Abarghouei, Toby P. Breckon:
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation. - Felix Hamann, Nadja Kurz, Adrian Ulges:
Hamming Sentence Embeddings for Information Retrieval. - Grzegorz Dudek:
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. - Tobias Eichinger, Felix Beierle, Robin Papke, Lucas Rebscher, Hong Chinh Tran, Magdalena Trzeciak:
On Gossip-based Information Dissemination in Pervasive Recommender Systems. - Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi:
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. - Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls:
Beyond Cartesian Representations for Local Descriptors. - Yi Yu, Simon Canales:
Conditional LSTM-GAN for Melody Generation from Lyrics. - Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor:
Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives. - Bhavana V. S, Pradip K. Das:
Speaker Verification Using Simple Temporal Features and Pitch Synchronous Cepstral Coefficients. - Hannes Hagmar, Lang Tong, Robert Eriksson, Le Anh Tuan:
Voltage Instability Prediction Using a Deep Recurrent Neural Network. - Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar:
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. - David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. - Pei Peng, Nikolas Melissaris, Emina Soljanin, Bill Lee, Huafeng Fan, Anton Maliev:
Straggling for Covert Message Passing on Complete Graphs. - Jesús Muñoz Morcillo, Klemens Czurda, Andrea Geipel, Caroline Y. Robertson-von Trotha:
Producers of Popular Science Web Videos. Between New Professionalism and Old Gender Issues. - Zhiyan Ding, Qin Li:
Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting. - Erik Burman, Stefan Frei, Matthew W. Scroggs:
Weak imposition of Signorini boundary conditions on the boundary element method. - Wing Tat Leung, Eric T. Chung, Yalchin Efendiev, Maria V. Vasilyeva, Mary F. Wheeler:
Space-Time Nonlinear Upscaling Framework Using Non-local Multi-continuum Approach. - Jiabin Zhang, Zheng Zhu, Wei Zou, Peng Li, Yanwei Li, Hu Su, Guan Huang:
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks. - Dianbo Liu, Dmitriy Dligach, Timothy Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. - Trang Ngoc Cao, Arman Ahmadzadeh, Vahid Jamali, Wayan Wicke, Phee Lep Yeoh, Jamie S. Evans, Robert Schober:
Diffusive Mobile MC with Absorbing Receivers: Stochastic Analysis and Applications. - Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. - Heikki Arponen, Tom E. Bishop:
SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing. - Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. - Mostafa Khalaji, Nilufar Mohammadnejad:
FCNHSMRA_HRS: Improve the performance of the movie hybrid recommender system using resource allocation approach. - Mostafa Khalaji, Nilufar Mohammadnejad:
CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation. - Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu:
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model. - Xue Yang, Qingqing Liu, Junchi Yan, Ang Li:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. - Alex Bespalov, Leonardo Rocchi, David J. Silvester:
T-IFISS: a toolbox for adaptive FEM computation. - Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. - Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq:
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. - Raghavendra Bhat, Ahmet Yasin Yazicioglu, Derya Aksaray:
Distributed Path Planning for Executing Cooperative Tasks with Time Windows. - Pavan Kantharaju, Katelyn Bright Alderfer, Jichen Zhu, Bruce W. Char, Brian K. Smith, Santiago Ontañón:
Tracing Player Knowledge in a Parallel Programming Educational Game. - Shengkai Wu, Xiaoping Li:
IoU-balanced Loss Functions for Single-stage Object Detection. - Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. - Sebastian Ullrich, Leonardo de Moura:
Counting Immutable Beans: Reference Counting Optimized for Purely Functional Programming. - Kia Rahmani, Kartik Nagar, Benjamin Delaware, Suresh Jagannathan:
CLOTHO: Directed Test Generation for Weakly Consistent Database Systems. - Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross B. Girshick:
PHYRE: A New Benchmark for Physical Reasoning. - J. Kartheek Devineni, Harpreet S. Dhillon:
Non-coherent Detection and Bit Error Rate for an Ambient Backscatter Link in Time-Selective Fading. - Abhishek Panigrahi, Abhishek Shetty, Navin Goyal:
Effect of Activation Functions on the Training of Overparametrized Neural Nets. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
Resolvable Designs for Speeding up Distributed Computing. - Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. - Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. - Dong Cao, Lisha Xu:
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles. - WonKee Lee, Junsu Park, Byung-Hyun Go, Jong-Hyeok Lee:
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs. - Hamada A. Nayel, H. L. Shashirekha, Hiroyuki Shindo, Yuji Matsumoto:
Improving Multi-Word Entity Recognition for Biomedical Texts. - Guojun Zhang, Yaoliang Yu:
Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games. - Leonid Barenboim, Gal Oren:
Distributed Backup Placement in One Round and its Applications to Maximum Matching Approximation and Self-Stabilization. - Therese Biedl, Erin Wolf Chambers, David Eppstein, Arnaud de Mesmay, Tim Ophelders:
Homotopy height, grid-major height and graph-drawing height. - Li Xie, Xiaolan Tu, Siyao Zhou, Jun Chen:
Generalized Gaussian Multiterminal Source Coding in the High-Resolution Regime. - Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. - Tao Wang, Xinmin Wu, Taiping He:
Trustable and Automated Machine Learning Running with Blockchain and Its Applications. - Sepehr Seyedi, Yasin Yazicioglu, Derya Aksaray:
Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations. - Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli:
Simple and Effective Noisy Channel Modeling for Neural Machine Translation. - Francesco Olivieri, Guido Governatori, Claudio Tomazzoli, Matteo Cristani:
Applications of Linear Defeasible Logic: combining resource consumption and exceptions to energy management and business processes. 1-14 - Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. - Sepehr Saadatmand, Mohammad Saleh Sanjarinia, Pourya Shamsi, Mehdi Ferdowsi, Donald C. Wunsch:
Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators. - Neeraj Battan, Abbhinav Venkat, Avinash Sharma:
DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences. - Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski:
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. - Apik Ashod Zorian, Chandra Shekar Bikkanur:
Debiasing Personal Identities in Toxicity Classification. - Daniel Specht Menezes, Pedro Savarese, Ruy Luiz Milidiú:
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources. - Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti:
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features. - Shreyas Sharma, Ron Daniel Jr.:
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks. - Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli:
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. - Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study. - Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. - K. B. Nakshatrala:
On boundedness and growth of unsteady solutions under the double porosity/permeability model. - Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani:
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. - Kyle Min, Jason J. Corso:
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. - Wasifur Rahman, Md. Kamrul Hasan, Amir Zadeh, Louis-Philippe Morency, Mohammed Ehsan Hoque:
M-BERT: Injecting Multimodal Information in the BERT Structure. - Davide Bianchi:
Analysis of the spectral symbol function for spectral approximation of a differential operator. - Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Wonchan Lee, Qinglei Cao, George Bosilca, Seema Mirchandaney, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance. - Wissam M. Sid-Lakhdar, Mohsen Mahmoudi Aznaveh, Xiaoye S. Li, James Weldon Demmel:
Multitask and Transfer Learning for Autotuning Exascale Applications. - Mihai Marian Puscas, Dan Xu, Andrea Pilzer, Nicu Sebe:
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. - Elie Ngomseu Mambou, Thibaud Tonnellier, Seyyed Ali Hashemi, Warren J. Gross:
Efficient Flicker-Free FEC Codes using Knuth's Balancing Algorithm for VLC. - Arshavir Ter-Gabrielyan, Alexander J. Summers, Peter Müller:
Modular Verification of Heap Reachability Properties in Separation Logic. - Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. - Jinkun Cao, Hongyang Tang, Haoshu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai:
Cross-Domain Adaptation for Animal Pose Estimation. - Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Stochastic Bandits Under Safety Constraints. - Libao Shi, Yang Pan, Yixin Ni:
An Analytical Probabilistic Expression for Modeling Sum of Spatial-dependent Wind Power Output. - Binghui Chen, Weihong Deng, Jiani Hu:
Mixed High-Order Attention Network for Person Re-Identification. - Jabez Leong Kit, Audelia Gumarus Dharmawan, David Mateo, Shaohui Foong, Gim Song Soh, Roland Bouffanais, Kristin L. Wood:
Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units. - Meng Tang, Yimin Liu, Louis J. Durlofsky:
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. - Oyesh Mann Singh, Ankur Padia, Anupam Joshi:
Named Entity Recognition for Nepali Language. - Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Transferable Contrastive Network for Generalized Zero-Shot Learning. - Hanz Martin Cheng, Jérôme Droniou:
An efficient implementation of mass conserving characteristic-based schemes in 2D and 3D. - Antonios Anastasopoulos, Graham Neubig:
Pushing the Limits of Low-Resource Morphological Inflection. - Jana Dunfield, Neel Krishnaswami:
Bidirectional Typing. - Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. - Dariush Fooladivanda, Qie Hu, Young Hwan Chang, Peter W. Sauer:
Secure State Estimation and Control for Cyber Security of AC Microgrids. - Matthias Springer:
Memory-Efficient Object-Oriented Programming on GPUs. - Anindya Maiti, Nisha Vinayaga-Sureshkanth, Murtuza Jadliwala, Raveen Wijewickrama:
Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing. - Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. - Siddhant Bansal, Seema Patel, Ishita Shah, Alpesh Patel, Jagruti Makwana, Rajesh Amratlal Thakker:
AGDC: Automatic Garbage Detection and Collection. - Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. - Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach. - Masatoshi Hanai, Toyotaro Suzumura, Wen Jun Tan, Elvis S. Liu, Georgios Theodoropoulos, Wentong Cai:
Distributed Edge Partitioning for Trillion-edge Graphs. - Sudarshan Mukherjee, Jemin Lee:
Edge Computing-Enabled Cell-Free Massive MIMO Systems. - Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, Tao Mei:
daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices. - Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu:
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. - Peng Chen, Tong Jia, Pengfei Wu, Jianjun Wu, Dongyue Chen:
Learning Deep Representations by Mutual Information for Person Re-identification. - Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas:
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors. - Tianhao Qiao, Shunqing Zhang, Zhichao Zhang, Shan Cao, Shugong Xu:
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion. - Grzegorz Dudek:
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. - Minquan Cheng, Jiyu Wang, Xi Zhong:
A Unified Framework for Constructing Centralized Coded Caching Schemes. - Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo:
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. - Lei Sun, Kaiwei Wang, Kailun Yang, Kaite Xiang:
See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion. - Ralf Zimmermann:
Hermite Interpolation and data processing errors on Riemannian matrix manifolds. - Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. - Jue Wang, Anoop Cherian:
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection. - Kai Niu, Yan Li, Weiling Wu:
Polar Codes: Analysis and Construction Based on Polar Spectrum. - Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun:
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs. - Jihong Park, Shiqiang Wang, Anis Elgabli, Seungeun Oh, Eunjeong Jeong, Han Cha, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis:
Distilling On-Device Intelligence at the Network Edge. - Sanchari Das, Andrew Kim, Zachary Tingle, Christena Nippert-Eng:
All About Phishing: Exploring User Research through a Systematic Literature Review. - Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou:
Occlusion-shared and Feature-separated Network for Occlusion Relationship Reasoning. - Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Daniel Graziotin, Marcos Kalinowski:
Challenges in Survey Research. - Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen:
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network. - Sanchari Das, Bingxi Wang, Zachary Tingle, L. Jean Camp:
Evaluating User Perception of Multi-Factor Authentication: A Systematic Review. - Sanchari Das, Bingxi Wang, L. Jean Camp:
MFA is a Waste of Time! Understanding Negative Connotation Towards MFA Applications via User Generated Content. - Omar Sami Oubbati, Noureddine Chaib, Abderrahmane Lakas, Salim Bitam:
On-Demand Routing for Urban VANETs using Cooperating UAVs. - Sven Löffler, Ke Liu, Petra Hofstedt:
The Regularization of Small Sub-Constraint Satisfaction Problems. - Weipeng Huang, Xingyi Cheng, Taifeng Wang, Wei Chu:
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction. - Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn:
Context-Aware Emotion Recognition Networks. - Zihan Liu, Yan Xu, Genta Indra Winata, Pascale Fung:
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring. - Guannan Liu, Liang Zhang:
Do Co-purchases Reveal Preferences? Explainable Recommendation with Attribute Networks. - Simone Faro, Arianna Pavone, Francesco Pio Marino:
Efficient Online String Matching Based on Characters Distance Text Sampling. - Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGAN: Subject Agnostic Face Swapping and Reenactment. - Patrick Stotko:
stdgpu: Efficient STL-like Data Structures on the GPU. - Tim Soethout, Jurgen J. Vinju, Tijs van der Storm:
Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions (Technical Report). - Erich Novak:
Algorithms and Complexity for Functions on General Domains. - Talha Bin Masood, Tathagata Ray, Vijay Natarajan:
Parallel Computation of Alpha Complex for Biomolecules. - Ibou Sene:
Toward an Attribute-Based Digital Identity Modeling for Privacy Preservation. - Vitaly Petrov, Dmitri Moltchanov, Sergey Andreev, Robert W. Heath Jr.:
Analysis of Intelligent Vehicular Relaying in Urban 5G+ Millimeter-Wave Cellular Deployments. - Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng:
How Sequence-to-Sequence Models Perceive Language Styles? - Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. - Helmut Seidl, Christian Müller, Bernd Finkbeiner:
How to Win First-Order Safety Games. - Erdun Gao, Zhibin Pan, Xinyi Gao:
Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding. - Per Alexandersson, Petter Restadh:
LaserTank is NP-complete. - Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki, Ian Craddock:
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding. - Minlong Peng, Ruotian Ma, Qi Zhang, Xuanjing Huang:
Simplify the Usage of Lexicon in Chinese NER. - Henrietta Baker, Matthew R. Hallowell, Antoine J.-P. Tixier:
AI Predicts Independent Construction Safety Outcomes from Universal Attributes. - Vincenzo Perri, Ingo Scholtes:
Higher-Order Visualization of Causal Structures in Dynamics Graphs. - Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier:
The Partial Response Network. - Chuangjie Xu:
A Gentzen-style monadic translation of Gödel's System T. - Tomasz Piotrowski, Krzysztof Rykaczewski:
Iterative Neural Networks with Bounded Weights. - Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather S. Packer, Thanassis Tiropanis:
FAIR and Open Computer Science Research Software. - Carlos Cotrini, Luca Corinzia, Thilo Weghorn, David A. Basin:
The Next 700 Policy Miners: A Universal Method for Building Policy Miners. - Yang Zhong, Atsuto Maki:
Pseudo-task Regularization for ConvNet Transfer Learning. - Yuji Nakatsukasa, Lloyd N. Trefethen:
An algorithm for real and complex rational minimax approximation. - Ke Liu, Sven Löffler, Petra Hofstedt:
Exploring Properties of Icosoku by Constraint Satisfaction Approach. - Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis:
Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding. - Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander F. Gelbukh:
Variational Fusion for Multimodal Sentiment Analysis. - Melina Merkel, Peter Gangl, Sebastian Schöps:
Shape Optimization of Rotating Electric Machines using Isogeometric Analysis and Harmonic Stator-Rotor Coupling. - Zhang-Wei Hong, Joni Pajarinen, Jan Peters:
Model-based Lookahead Reinforcement Learning. - Ari Z. Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez:
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes. - Davide Palitta, Valeria Simoncini:
Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations. - Yingzhong Shi, Zhaohong Deng, Haoran Chen, Kup-Sze Choi, Shitong Wang:
Double-Coupling Learning for Multi-Task Data Stream Classification. - Xiangxiang Chu, Bo Zhang, Jixiang Li, Qingyuan Li, Ruijun Xu:
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search. - Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. - Kevin Luo, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
PHY Research Is Sick but Curable: An Empirical Analysis. - Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal:
Needles in Haystacks: On Classifying Tiny Objects in Large Images. - Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. - Felipe Moreno Vera:
Performing Deep Recurrent Double Q-Learning for Atari Games. - David B. Williams-Young, Paul G. Beckman, Chao Yang:
A Shift Selection Strategy for Parallel Shift-Invert Spectrum Slicing in Symmetric Self-Consistent Eigenvalue Computation. - Hyocheol Ro, Yoonjung Park, Tack-Don Han:
A Projection-based Augmented Reality for Elderly People with Dementia. - Ahmadreza Baghaie:
Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data. - Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. - Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. - Alice Cortinovis, Daniel Kressner:
Low-rank approximation in the Frobenius norm by column and row subset selection. - Daniel Liu, Ronald Yu, Hao Su:
Adversarial point perturbations on 3D objects. - Mohammed Rayyan Sheriff, Debasish Chatterjee:
Convex geometry of the Coding problem for error constrained Dictionary Learning. - Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. - Angel A. Cantu, Austin Luchsinger, Robert T. Schweller, Tim Wylie:
Covert Computation in Self-Assembled Circuits. - Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui:
A Survey on Computational Politics. - Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra:
Optimal scheduling strategy for networked estimation with energy harvesting. - Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy:
NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization. - Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem:
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation. - Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. - Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston:
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack. - Zeyad A. Al-Odat, Sudarshan K. Srinivasan, Eman M. Al-Qtiemat, Sana Shuja:
A Reliable IoT-Based Embedded Health Care System for Diabetic Patients. - Xun Xu, Loong-Fah Cheong, Zhuwen Li:
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. - Andrei Ivanov, Sergei Andrianov:
Matrix Lie Maps and Neural Networks for Solving Differential Equations. - Gianmarco Mengaldo:
Batch 1: Definition of several Weather & Climate Dwarfs. - Willem Deconinck:
Development of Atlas, a flexible data structure framework. - Alastair McKinstry:
Additional key features required for different directives based porting approaches. - Carlos Osuna:
Report on the performance portability demonstrated for the relevant Weather & Climate Dwarfs. - Cyril Mazauric, Erwan Raffin, David Guibert:
Recommendations and specifications for data scope analysis tools. - Cyril Mazauric, Erwan Raffin, Xavier Vigouroux, David Guibert, Alex Macfaden, Jacob Poulsen, Per Berg, Alan Gray, Peter Messmer:
Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC and Optalysys Optical Processor. - Louis Douriez, Alan Gray, David Guibert, Peter Messmer, Erwan Raffin:
Performance report and optimized implementations of Weather & Climate dwarfs on multi-node systems. - Michal Kulczewski, Marek Blazewicz, Sebastian Ciesielski:
Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures. - Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner:
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. - Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey:
Symmetric Cross Entropy for Robust Learning with Noisy Labels. - Joris van Bever, Alex McFaden, Zbigniew Piotrowski, Daan Degrauwe:
Report on energy-efficiency evaluation of several NWP model configurations. - Joris van Bever, Geert Smet, Daan Degrauwe:
Report on workflow analysis for specific LAM applications. - Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael R. Glass, Vittorio Castelli, J. William Murdock, Radu Florian, Salim Roukos, Avirup Sil:
CFO: A Framework for Building Production NLP Systems. - Anna Smagina, Egor I. Ershov, Anton S. Grigoryev:
Multiple Light Source Dataset for Colour Research. - Matthew S. Brennan, Guy Bresler:
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries. - Weizi Li:
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving. - Rodrigo Nogueira:
Learning Representations and Agents for Information Retrieval. - Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts:
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. - Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. - Santanu Pal, Marcos Zampieri, Josef van Genabith:
UDS-DFKI Submission to the WMT2019 Similar Language Translation Shared Task. - Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Josef van Genabith:
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. - Wentao Cheng, Weisi Lin, Kan Chen, Xinfeng Zhang:
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization. - Govind Mittal, Pawel Korus, Nasir D. Memon:
FiFTy: Large-scale File Fragment Type Identification using Neural Networks. - Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krüger, Josef van Genabith:
The Transference Architecture for Automatic Post-Editing. - Xingqin Lin:
Debunking Seven Myths about 5G New Radio. - Evgeny Lipovetsky, Nira Dyn:
Extending editing capabilities of subdivision schemes by refinement of point-normal pairs. - Meisam Hejazinia, Kyler Eastman, Shuqin Ye, Abbas Amirabadi, Ravi Divvela:
Accelerated learning from recommender systems using multi-armed bandit. - Weiquan Mao, Beicheng Lou, Jiyao Yuan:
TunaGAN: Interpretable GAN for Smart Editing. - Andrew B. Whitford, Jeff Yates, Adam Burchfield, L. Jason Anastasopoulos, Derrick M. Anderson:
The Adoption of Robotics by Government Agencies: Evidence from Crime Labs. - Timnit Gebru:
Oxford Handbook on AI Ethics Book Chapter on Race and Gender. - Os Keyes, Jevan A. Hutson, Meredith Durbin:
A Mulching Proposal. - Os Keyes, Josephine Hoy, Margaret Drouhard:
Human-Computer Insurrection: Notes on an Anarchist HCI. - Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. - Dimitrios Rafailidis:
Cross-Domain Collaborative Filtering via Translation-based Learning. - Emilio Ferrara:
The History of Digital Spam. - Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. - Sarthak Dash, Alfio Gliozzo:
Distributional Negative Sampling for Knowledge Base Completion. - Anthony D. Rhodes:
Search Algorithms for Mastermind. - Trong-Nguyen Nguyen, Jean Meunier:
Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index. - Sharib Ali, Jens Rittscher:
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping. - Helmut Ruhland:
Quadrature rules for C0 and C1 splines, a recipe. - Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contexual Embeddings for Medical Text. - Soham Sinha, Richard West:
PAStime: Progress-aware Scheduling for Time-critical Computing. - Avinash Kori, Ganapathi Krishnamurthi:
Zero Shot Learning for Multi-Modal Real Time Image Registration. - Matthew Sotoudeh, Aditya V. Thakur:
Computing Linear Restrictions of Neural Networks. - Jingwen Wang, Hao Zhang, Cheng Zhang, Wenjing Yang, Liqun Shao, Jie Wang:
Generating an Overview Report over Many Documents. - Carlo Innamorati, Bryan C. Russell, Danny M. Kaufman, Niloy J. Mitra:
Neural Re-Simulation for Generating Bounces in Single Images. - Matthew Sotoudeh, Aditya V. Thakur:
A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks. - Faizal M. F. Hafiz, Akshya Swain, Eduardo M. A. M. Mendes:
Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation. - Shinsaku Sakaue:
Approximation Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with a Size Constraint. - Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs. - Bingyao Huang, Haibin Ling:
CompenNet++: End-to-end Full Projector Compensation. - Shinnosuke Takamichi, Kentaro Mitsui, Yuki Saito, Tomoki Koriyama, Naoko Tanji, Hiroshi Saruwatari:
JVS corpus: free Japanese multi-speaker voice corpus. - Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann:
Inverse Kinematics with Forward Dynamics Solvers for Sampled Motion Tracking. - Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim:
Attentional Feature-Pair Relation Networks for Accurate Face Recognition. - Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson:
A Batched Multi-Armed Bandit Approach to News Headline Testing. - Changhee Won, Jongbin Ryu, Jongwoo Lim:
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. - Tianyu He, Jiale Chen, Xu Tan, Tao Qin:
Language Graph Distillation for Low-Resource Machine Translation. - Tianyu He, Xu Tan, Tao Qin:
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation. - Yang Liu, Jianpeng Zhang, Chao Gao, Jinghua Qu, Lixin Ji:
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification. - Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma, Yi-Hsin Chen, Ya-Wen Yu, Yi-Shin Chen:
EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation. - Harsh Thakkar, Dharmen Punjani, Sören Auer, Maria-Esther Vidal:
Towards an Integrated Graph Algebra for Graph Pattern Matching with Gremlin (Extended Version). - Manh Hong Duong, T. H. Dang-Ha, Q. B. Tang, H. M. Tran:
Generalized potential games. - Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. - Yiming Zhang, Herbert A. Mang:
Global cracking elements: a novel tool for Galerkin-based approaches simulating quasi-brittle fracture. - Sebastian Brandt, Yannic Maus, Jara Uitto:
A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovász Local Lemma. - Dirk Beyer, Matthias Dangl:
Software Verification with PDR: Implementation and Empirical Evaluation of the State of the Art. - Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann:
Contact Skill Imitation Learning for Robot-Independent Assembly Programming. - S. Akshay, Jatin Arora, Supratik Chakraborty, Shankara Narayanan Krishna, Divya Raghunathan, Shetal Shah:
Knowledge Compilation for Boolean Functional Synthesis. - Gidi Littwin, Lior Wolf:
Deep Meta Functionals for Shape Representation. - Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo:
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. - Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. - Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor:
Scheduling Policies for Federated Learning in Wireless Networks. - Sebastian Borgeaud, Guy Emerson:
Leveraging sentence similarity in natural language generation: Improving beam search using range voting. - Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu:
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network. - Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. - Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung:
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics.