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ORCIDCoRR, July 2022
- Yuchuan Gou, Bo Peng, Hongchen Liu, Hang Zhou, Jui-Hsin Lai:
MultiEarth 2022 - The Champion Solution for Image-to-Image Translation Challenge via Generation Models. - Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. - Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang
, Xiaoxiao Li:
Class Impression for Data-free Incremental Learning. - Andresia Pitri, Leon Andretti Abdillah:
Usability Testing untuk Mengukur Kepuasaan Pengguna Website Mailo Store. - Leilani H. Gilpin, Andrew R. Paley, Mohammed A. Alam, Sarah Spurlock, Kristian J. Hammond:
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI. - Harry Wixley:
Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors. - Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. - Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu:
LaserMix for Semi-Supervised LiDAR Semantic Segmentation. - Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Maurizio D'Arienzo, Simon Pietro Romano:
GOSPF: An energy efficient implementation of the OSPF routing protocol. - Oskar Thorén, Sanaz Taheri Boshrooyeh, Hanno Cornelius:
Waku: A Family of Modular P2P Protocols For Secure & Censorship-Resistant Communication. - Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen:
DP2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring. - Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic:
Performative Reinforcement Learning. - Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. - Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li:
Semantic Image Synthesis via Diffusion Models. - Yanwei Wang, Ching-Yun Ko:
Visual Pre-training for Navigation: What Can We Learn from Noise? - Christoph Matthies, Mary Sánchez-Gordón, Jens Bæk Jørgensen, Lutz Prechelt:
"Communication Is a Scarce Resource!": A Summary of CHASE'22 Conference Discussions. - Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov:
MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi:
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. - Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation. - Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. - Noman Bashir, David E. Irwin, Prashant J. Shenoy, Abel Souza:
Sustainable Computing - Without the Hot Air. - Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. - Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky:
Towards Human-Agent Communication via the Information Bottleneck Principle. - Timo Gervens, Martin Grohe:
Graph Similarity Based on Matrix Norms. - Lionel Nganyewou Tidjon, Foutse Khomh:
Threat Assessment in Machine Learning based Systems. - Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Chiyuan Zhang:
Measuring Forgetting of Memorized Training Examples. - Ronald Fagin, Jonathan Lenchner, Nikhil Vyas, Ryan Williams:
On the Number of Quantifiers as a Complexity Measure. - Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Tsuyoshi Murata, Naveed Afzal:
Modularity Optimization as a Training Criterion for Graph Neural Networks. - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Deradicalizing YouTube: Characterization, Detection, and Personalization of Religiously Intolerant Arabic Videos. - Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. - Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Decentralized Signal Temporal Logic Control for Perturbed Interconnected Systems via Assume-Guarantee Contract Optimization. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
Privacy-Preserving Spam-Protected Gossip-Based Routing. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
WAKU-RLN-RELAY: Privacy-Preserving Peer-to-Peer Economic Spam Protection. - Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. - Tiziano Dalmonte, Andrea Mazzullo, Ana Ozaki:
Reasoning in Non-normal Modal Description Logics. - Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. - Alex Tong Lin, Stanley J. Osher:
Multi-Agent Shape Control with Optimal Transport. - Faical Khennoufa, Khelil Abdellatif, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
A Hybrid Energy Harvesting Protocol for Cooperative NOMA: Error Performance Approach. - Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy:
Robustness of Epinets against Distributional Shifts. - Bohui Zhang, Filip Ilievski, Pedro A. Szekely:
Enriching Wikidata with Linked Open Data. - Beddiaf Safia, Khelil Abdellatif, Faical Khennoufa, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
Error Analysis of Cooperative NOMA with Practical Constraints: Hardware-Impairment, Imperfect SIC and CSI. - Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening using Self-attention Guided Networks. - Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Yiming Huo:
Space Broadband Access: The Race Has Just Begun. - Chemseddine Benkalfate, Mohammed Feham, Achour Ouslimani, Abed-Elhak Kasbari:
UWB patch antenna design and realization in the bandwidth 780 MHz to 4.22 GHz. - Stefano Bonafini, Claudio Sacchi, Riccardo Bassoli, Fabrizio Granelli, Koteswararao Kondepu, Frank H. P. Fitzek:
An Analytical Study on Functional Split in Martian 3D Networks. - Shafkat Islam, Ioannis Zografopoulos, Md Tamjid Hossain, Shahriar Badsha, Charalambos Konstantinou:
A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid. - Leonardo Badia, Andrea Bedin:
Blockage-Peeking Game of Mobile Strategic Nodes in Millimeter Wave Communications. - Haruaki Tanaka, Yusuke Yamasaki, Satoshi Yasuda, Nobuyasu Shiga, Kenichi Takizawa, Nicolas Chauvet, Ryoichi Horisaki, Makoto Naruse:
Experimental Demonstration of Delay-Bounded Wireless Network Based on Precise Time Synchronization. - Luliang Jia, Nan Qi, Feihuang Chu, Shengliang Fang, Ximing Wang, Shuli Ma, Shuo Feng:
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks. - Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta:
When Does Differentially Private Learning Not Suffer in High Dimensions? - Nyle Siddiqui, Rushit Dave:
Mitigating Presentation Attack using DCGAN and Deep CNN. - Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Miguel Marquez, Ramith Hettiarachchi, Hans Garcia, Kithmini Herath, Udith Haputhanthri, Balpreet Singh Ahluwalia, Peter T. C. So, Dushan N. Wadduwage, Chamira U. S. Edussooriya:
Deep Optical Coding Design in Computational Imaging. - Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen:
Secure Forward Aggregation for Vertical Federated Neural Networks. - Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. - Zhongxiang Chang, Abraham P. Punnen, Zhongbao Zhou:
An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split. - Wei-Chang Yeh:
Novel Recursive Inclusion-Exclusion Technology Based on BAT and MPs for Heterogeneous-Arc Binary-State Network Reliability Problems. - Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang:
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction. - Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu:
Turbo: Opportunistic Enhancement for Edge Video Analytics. - Thanitnan Kammuang, Watthanai Luealamai, Issarapong Khuankrue:
Data-Driven Model for Failure Analysis of Internet of Things Devices: A Preliminary Study. - Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-end cell recognition by point annotation. - Mingyuan Luo, Xin Yang, Hongzhang Wang, Liwei Du, Dong Ni:
Deep Motion Network for Freehand 3D Ultrasound Reconstruction. - Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech:
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. - Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang:
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving. - Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma:
An Understanding-Oriented Robust Machine Reading Comprehension Model. - Cheng Li, Yangxin Liu:
Rethinking Query-Key Pairwise Interactions in Vision Transformers. - Rishab Mitra, Arpit Narechania, Alex Endert, John T. Stasko:
Facilitating Conversational Interaction in Natural Language Interfaces for Visualization. - Minh Cao, Ramin Ramezani:
Data generation using simulation technology to improve perception mechanism of autonomous vehicles. - Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai:
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition. - Albert Wu, Michelle Guo, C. Karen Liu:
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. - Fang Da:
Comprehensive Reactive Safety: No Need For A Trajectory If You Have A Strategy. - Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh:
Studying the impact of magnitude pruning on contrastive learning methods. - Kevin Tracy, Taylor A. Howell, Zachary Manchester:
DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons. - Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. - Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro V. Sander:
Neural Parameterization for Dynamic Human Head Editing. - Bernard Chazelle, Kritkorn Karntikoon:
Quick Relaxation in Collective Motion. - Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho:
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. - Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin:
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations. - Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian causal inference in automotive software engineering and online evaluation. - Yeonsoo Park, Soohyun Bae:
Keeping Less is More: Point Sparsification for Visual SLAM. - Peipei Liu, Hong Li, Zuoguang Wang, Jie Liu, Yimo Ren, Hongsong Zhu:
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence. - Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. - Muqiao Yang, Joseph Konan, David Bick, Anurag Kumar, Shinji Watanabe, Bhiksha Raj:
Improving Speech Enhancement through Fine-Grained Speech Characteristics. - Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan:
Discriminator-Guided Model-Based Offline Imitation Learning. - Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang:
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. - Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos:
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. - Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
Trajectory Forecasting on Temporal Graphs. - Jichao Zhang, Jingjing Chen, Hao Tang, Enver Sangineto, Peng Wu, Yan Yan, Nicu Sebe, Wei Wang:
Unsupervised High-Resolution Portrait Gaze Correction and Animation. - William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko:
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. - Jun Wu, Lilu Liu, Yue Wang, Rong Xiong:
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy. - Isabella María Sierra-Ponce, Angela Mireya León-Mecías, Damian Valdés-Santiago:
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images. - Ignjat Pejic, Rui Wang, Kaitai Liang:
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks. - Nurul Huda Mahmood, Gilberto Berardinelli, Emil J. Khatib, Ramin Hashemi, Carlos H. M. de Lima, Matti Latva-aho:
A Functional Architecture for 6G Special Purpose Industrial IoT Networks. - Patrick Gelhausen, M. Fischer, Gabriele Peters:
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. - Linjie Yang, Pingzhi Fan, Li Li, Zhiguo Ding, Li Hao:
Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector. - Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. - Maciej Wozniak, Anna Szyszka, Sergio Rojas:
A study of efficient concurrent integration methods of B-Spline basis functions in IGA-FEM. - Jiaxin Wu, Chong-Wah Ngo, Wing Kwong Chan, Zhijian Hou:
(Un)likelihood Training for Interpretable Embedding. - Yuxin Song, Ruolin Zhu, Min Yang, Dongliang He:
DALG: Deep Attentive Local and Global Modeling for Image Retrieval. - Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek:
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. - Denis Barucic, Jan Kybic:
Learning to segment from object sizes. - Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong:
Competitive DER Aggregation for Participation in Wholesale Markets. - Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. - Marco Cotogni, Claudio Cusano:
Offset equivariant networks and their applications. - Erik Burman, Peter Hansbo, Mats G. Larson:
The augmented Lagrangian method as a framework for stabilised methods in computational mechanics. - Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly:
The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act. - Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. - Cedric Richter, Heike Wehrheim:
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes. - Filiberto Fele, Antonio de Paola, David Angeli, Goran Strbac:
A framework for receding-horizon control in infinite-horizon aggregative games. - Fabrizio d'Amore:
Quality increases as the error rate decreases. - Francesca Bonizzoni, Guido Kanschat:
A Tensor-Product Finite Element Cochain Complex with Arbitrary Continuity. - Edirlei Soares de Lima, António L. Furtado, Bruno Feijó, Marco A. Casanova:
A Note on Process Modelling: Combining Situation Calculus and Petri Nets. - Gang He, Kepeng Xu, Li Xu, Chang Wu, Ming Sun, Xing Wen, Yu-Wing Tai:
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping. - Pragati Sharma, Rahul Jashvantbhai Pandya, Sridhar Iyer, Anubhav Sharma:
Survey on Wireless Information Energy Transfer (WIET) and Related Applications in 6G Internet of NanoThings (IoNT). - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Feature Matching with Topic-assisted. - Neha Baranwal, Varun Sharma:
Literature on Hand GESTURE Recognition using Graph based methods. - Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang:
Conditional Variable Selection for Intelligent Test. - Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir:
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning. - Kamil Deja, Ariadna Sánchez, Julian Roth, Marius Cotescu:
Automatic Evaluation of Speaker Similarity. - Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva:
HyperTensioN and Total-order Forward Decomposition optimizations. - Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni:
Fine-grained Correlation Loss for Regression. - Marco Naguib, François Portet, Marco Dinarelli:
Vers la compréhension automatique de la parole bout-en-bout à moindre effort. - Joey De Pauw, Koen Ruymbeek, Bart Goethals:
Modelling Users with Item Metadata for Explainable and Interactive Recommendation. - Marco Dinarelli, Marco Naguib, François Portet:
Toward Low-Cost End-to-End Spoken Language Understanding. - Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. - Zeshun Shi, Jeroen Bergers, Ken Korsmit, Zhiming Zhao:
AUDITEM: Toward an Automated and Efficient Data Integrity Verification Model Using Blockchain. - Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. - Amuthan A. Ramabathiran, Prabhu Ramachandran:
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs. - Nils Werner, Tim Zeitz:
Combining Predicted and Live Traffic with Time-Dependent A* Potentials. - Naiyuan Liu, Xiaohan Wang, Xiaobo Li, Yi Yang, Yueting Zhuang:
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022. - Benjamin Merlin Bumpus, Bart M. P. Jansen, Jari J. H. de Kroon:
Search-Space Reduction via Essential Vertices. - Samuel Horváth:
Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity. - Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata:
Conditional Generation with a Question-Answering Blueprint. - Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin, Giancarlo Ferrigno, Paul Breedveld, Jenny Dankelman, Elena De Momi:
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing. - Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora:
Adversarial Robustness is at Odds with Lazy Training. - Yanick Schraner, Christian Scheller, Michel Plüss, Manfred Vogel:
Swiss German Speech to Text system evaluation. - Latif U. Khan, Zhu Han, Dusit Niyato, Ekram Hossain, Choong Seon Hong:
Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions. - Bassel Al Homssi, Kosta Dakic, Ke Wang, Tansu Alpcan, Ben Allen, Sithamparanathan Kandeepan, Akram Al-Hourani, Walid Saad:
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks. - Mohammad Arif Hossain, Abdullah Ridwan Hossain, Nirwan Ansari:
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networks. - Arjun Prasad Chaurasiya, Roshan Sah, V. Sivakumar:
Energy Efficient Routing For Underwater Acoustic Sensor Network Using Genetic Algorithm. - Joachim Sachs, Krister Landernäs:
Review of 5G capabilities for smart manufacturing. - Joseph Bolarinwa, Alex Smith, Adnan Aijaz, Aleksandar Stanoev, Manuel Giuliani:
Demo: Untethered Haptic Teleoperation for Nuclear Decommissioning using a Low-Power Wireless Control Technology. - Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah:
Self-Supervised Learning for Videos: A Survey. - Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. - Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp:
Generative Adversarial Networks and Image-Based Malware Classification. - An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. - Alberto Carrasco-Casado, Koichi Shiratama, Phuc V. Trinh, Dimitar R. Kolev, Femi Ishola, Tetsuharu Fuse, Hiroyuki Tsuji, Morio Toyoshima:
NICT's versatile miniaturized lasercom terminals for moving platforms. - Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker:
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. - Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere:
Transferable Graph Backdoor Attack. - Wanting Yang, Hongyang Du, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao:
Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges. - Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang:
FLVoogd: Robust And Privacy Preserving Federated Learning. - Jorge A. Mendez, Harm van Seijen, Eric Eaton:
Modular Lifelong Reinforcement Learning via Neural Composition. - Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen:
How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning. - Nicolas Brieu, Felix J. Segerer, Ansh Kapil, Philipp Wortmann, Günter Schmidt:
Stain Isolation-based Guidance for Improved Stain Translation. - Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan:
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network. - Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra:
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. - Petr Zhukov, Anton I. Glushchenko, Andrey Fomin:
Implicit adaptation of mesh model of transient heat conduction problem. - Xuan Zheng, Kerstin Eder, Tim Blackmore:
Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure. - Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv:
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. - Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Jingxiao Ma, Sherief Reda:
RUCA: RUntime Configurable Approximate Circuits with Self-Correcting Capability. - Jorge A. Mendez, Shashank Shivkumar, Eric Eaton:
Lifelong Inverse Reinforcement Learning. - Min-Sheng Lin:
Counting Dominating Sets in Directed Path Graphs. - Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu:
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings. - Oliver Lloyd, Yi Liu, Tom R. Gaunt:
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality. - Jiamin Liang, Xin Yang, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni:
Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling. - Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni:
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. - Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni:
Online Reflective Learning for Robust Medical Image Segmentation. - (Withdrawn) Vision-based Conflict Detection within Crowds based on High-Resolution Human Pose Estimation for Smart and Safe Airport.
- Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash:
Asynchronous Distributed Bayesian Optimization at HPC Scale. - Yang Xing, Wenbo Li, Xiaoyu Mo, Chen Lv:
Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer. - Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi:
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. - Mykola Makhortykh, Ernesto de León, Aleksandra Urman, Clara Christner, Maryna Sydorova, Silke Adam, Michaela Maier, Teresa Gil-Lopez:
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data. - Tian Yu, Qing Chang:
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration. - Rabih Zbib, Lucas Lacasa Alvarez, Federico Retyk, Rus Poves, Juan Aizpuru, Hermenegildo Fabregat, Vaidotas Simkus, Emília Garcia Casademont:
Learning Job Titles Similarity from Noisy Skill Labels. - Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng, Ruobing Huang:
Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound. - Philipp Spitzer, Niklas Kühl, Marc Goutier:
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. - Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
MotionMixer: MLP-based 3D Human Body Pose Forecasting. - Christian Berger, Hans P. Reiser, Franz J. Hauck, Florian Held, Jörg Domaschka:
Automatic Integration of BFT State-Machine Replication into IoT Systems. - Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr:
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. - Sauradip Nag, Nisarg A. Shah, Anran Qi, Raghavendra Ramachandra:
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting. - Jonas Fritzsch, Justus Bogner, Markus Haug, Stefan Wagner, Alfred Zimmermann:
Towards an Architecture-centric Methodology for Migrating to Microservices. - Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger:
Enhancing cluster analysis via topological manifold learning. - Andrey Prokopenko, Piyush Sao, Damien Lebrun-Grandié:
A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs. - Ashwin Ganesan:
Structured Hypergraphs in Cellular Mobile Communication Systems. - Daniel Hausmann, Nir Piterman:
A Survey on Satisfiability Checking for the μ-Calculus through Tree Automata. - Wei Guo, Jing-Mei Qiu:
A Local Macroscopic Conservative (LoMaC) low rank tensor method for the Vlasov dynamics. - Dhruvit Patel, Edward Ott:
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems. - Matthew Earnshaw, Pawel Sobocinski:
Regular Monoidal Languages. - Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Behavioral Player Rating in Competitive Online Shooter Games. - Michael Zhang, Samuel Kim, Peter Y. Lu, Marin Soljacic:
Deep Learning and Symbolic Regression for Discovering Parametric Equations. - Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson:
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. - Renato Sortino, Simone Palazzo, Concetto Spampinato:
Transforming Image Generation from Scene Graphs. - Abdullah Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang, Walid G. Aref:
The "AI+R"-tree: An Instance-optimized R-tree. - Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. - Mukhlis Amien, Chong Feng, Heyan Huang:
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator. - Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer:
Learning to correct spectral methods for simulating turbulent flows. - Elham E Khoda, Dylan S. Rankin, Rafael Teixeira de Lima, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang:
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. - Ekaterina Voloshina, Oleg Serikov, Tatiana Shavrina:
Is neural language acquisition similar to natural? A chronological probing study. - Katharine Patterson, Kevin W. Wilson, Scott Wisdom, John R. Hershey:
Distance-Based Sound Separation. - Achim Blumensath:
The Power-Set Construction for Tree Algebras. - Justin Kottinger, Shaull Almagor, Morteza Lahijanian:
Conflict-based Search for Multi-Robot Motion Planning with Kinodynamic Constraints. - Srijan Das, Michael S. Ryoo:
Video + CLIP Baseline for Ego4D Long-term Action Anticipation. - Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. - Sean A. Rendar, Fenglong Ma:
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. - Shaopu Wang, Xiaojun Chen, Mengzhen Kou, Jinqiao Shi:
PrUE: Distilling Knowledge from Sparse Teacher Networks. - Yanming Zhu, Xuefei Yin, Xiuping Jia, Jiankun Hu:
Pair-Relationship Modeling for Latent Fingerprint Recognition. - Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. - Jingyao Wang, Naigong Yu:
SSD-Faster Net: A Hybrid Network for Industrial Defect Inspection. - Daniel Zeng, Tailin Wu, Jure Leskovec:
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. - Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, Xiongchun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan:
Dissecting Service Mesh Overheads. - Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution. - Francisco M. Caldas, Cláudia Soares:
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding. - Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. - Binbin Yang:
Synthesis of General Decoupling Networks Using Transmission Lines. - Samanvitha Basole, Fabio Di Troia, Mark Stamp:
Multifamily Malware Models. - Zurab Khasidashvili:
Accelerating System-Level Debug Using Rule Learning and Subgroup Discovery Techniques. - Rima Hazra, Arpit Dwivedi, Animesh Mukherjee:
Is this bug severe? A text-cum-graph based model for bug severity prediction. - Felix Weitkämper:
Projectivity revisited. - Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh:
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic. - Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - Yao Liu, Yannis Flet-Berliac, Emma Brunskill:
Offline Policy Optimization with Eligible Actions. - Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. - Christopher Neal, Jean-Yves De Miceli, David Barrera, José Fernandez:
Ontology-Based Anomaly Detection for Air Traffic Control Systems. - Rahayu Agustina, Leon Andretti Abdillah:
Analisis Kepuasan Pengguna Aplikasi Bintang Cash & Credit Menggunakan Metode End User Computing Satisfaction (EUCS). - Christopher L. Dancy:
Using a Cognitive Architecture to consider antiblackness in design and development of AI systems. - Zhou Lu, Elad Hazan:
Efficient Adaptive Regret Minimization. - Manolis Chiou, Georgios-Theofanis Epsimos, Grigoris Nikolaou, Pantelis Pappas, Giannis Petousakis, Stefan Mühl, Rustam Stolkin:
Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise. - Cunzhi Zhao, Xingpeng Li:
An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model. - Zhiwu Zheng, Hsin Cheng, Prakhar Kumar, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm:
Wirelessly-Controlled Untethered Piezoelectric Planar Soft Robot Capable of Bidirectional Crawling and Rotation. - Mitchell DeHaven, Jayadev Billa:
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training. - Andre Costa, Matteo Cusini, Tao Jin, Randolph R. Settgast, John Dolbow:
A Multi-Resolution Approach to Hydraulic Fracture Simulation. - Kevin Tracy, Taylor A. Howell, Zachary Manchester:
Differentiable Collision Detection for a Set of Convex Primitives. - Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo:
DRESS: Dynamic REal-time Sparse Subnets. - Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. - (Withdrawn) Distributed Frequency Control in Power Grids with Low and Time-Varying Inertia.
- Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe:
Infinite-Fidelity Coregionalization for Physical Simulation. - Mengxi Chen, Shanshan Ma, Zahra Soltani, Raja Ayyanar, Vijay Vittal, Mojdeh Khorsand:
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems. - Benjamin Wong, Wade Marquette, Nikolay Bykov, Tyler M. Paine, Ashis G. Banerjee:
Human-Assisted Robotic Detection of Foreign Object Debris Inside Confined Spaces of Marine Vessels Using Probabilistic Mapping. - Harsh Panwar:
The NPC AI of \textit{The Last of Us}: A case study. - Andreas Roth, Thomas Liebig:
Transforming PageRank into an Infinite-Depth Graph Neural Network. - Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. - Robert Wolfe, Aylin Caliskan:
American == White in Multimodal Language-and-Image AI. - Charles Khazoom, Daniel González-Díaz, Yanran Ding, Sangbae Kim:
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions. - Julen Balzategui, Luka Eciolaza:
Few-shot incremental learning in the context of solar cell quality inspection. - Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert Mullins, Nicolas Papernot:
Efficient Adversarial Training With Data Pruning. - David M. Williams, Qingguo Hong:
Generalized Korn's Inequalities for Piecewise H2 Vector Fields. - Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Michail Matthaiou:
Superdirective Antenna Pairs for Energy-Efficient Terahertz Massive MIMO. - Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. - Ziwen Han, Evgeniya Gorobets, Pan Chen:
Parameter efficient dendritic-tree neurons outperform perceptrons. - Fernanda Sánchez-Puig, Rogelio Lozano-Aranda, Dante Pérez-Méndez, Ewan Colman, Alfredo J. Morales-Guzmán, Carlos Pineda, Pedro Juan Rivera Torres, Carlos Gershenson:
Language statistics at different spatial, temporal, and grammatical scales. - Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles:
Separating and Collapsing Electoral Control Types. - Yang Zhao, Yan Song:
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation. - Yanwei Jia, Xun Yu Zhou:
q-Learning in Continuous Time. - Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao:
Triangle-oriented Community Detection considering Node Features and Network Topology. - Jin Liu, Chongfeng Fan, Fengyu Zhou, Huijuan Xu:
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency. - Sarvesh Patil, Samuel C. Alvares, Pragna Mannam, Oliver Kroemer, Fatma Zeynep Temel:
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education. - Zhongyuan Zhang, Yi Qian, Yanxiang Zhao, Lin Zhu, Jinjin Wang:
Noise and Edge Based Dual Branch Image Manipulation Detection. - J. Senthilnath, Harikumar Kandath, S. Suresh:
Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication. - Zhiyu Huang, Xiaoyu Mo, Chen Lv:
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application. - Lei Cai, Yuli Fu, Wanliang Huo, Youjun Xiang, Tao Zhu, Ying Zhang, Huanqiang Zeng:
Multi-scale Attentive Image De-raining Networks via Neural Architecture Search. - William Merrill, Ashish Sabharwal:
Log-Precision Transformers are Constant-Depth Uniform Threshold Circuits. - Bharadwaj Manda, Prasad Kendre, Subhrajit Dey, Ramanathan Muthuganapathy:
SketchCleanNet - A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system. - Keyu Wen, Zhenshan Tan, Qingrong Cheng, Cheng Chen, Xiaodong Gu:
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval. - Benyou Wang, Xiangbo Wu, Xiaokang Liu, Jianquan Li, Prayag Tiwari, Qianqian Xie:
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk. - Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami:
Exponential Convergence of Sinkhorn Under Regularization Scheduling. - Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu:
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. - Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang:
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. - Zhi Lu, Vrizlynn L. L. Thing:
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. - Yujia Li, Shunbo Lei, Wei Sun, Chenxi Hu, Yunhe Hou:
A Distributionally Robust Resilience Enhancement Strategy for Distribution Grids Considering Decision-Dependent Contingencies. - Zeyu Xiong, Daizong Liu, Pan Zhou:
Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding. - Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang:
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units. - Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. - Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou:
Rationale-Augmented Ensembles in Language Models. - Pedro Henrique Luz de Araujo, Ana Paula G. S. de Almeida, Fabricio Ataides Braz, Nilton Correia da Silva, Flavio de Barros Vidal, Teófilo Emídio de Campos:
Sequence-aware multimodal page classification of Brazilian legal documents. - Wenli Zhu, Liangqing Luo:
Efficient and Effective Local Search for the Set-Union Knapsack Problem and Budgeted Maximum Coverage Problem. - Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang:
GUIM - General User and Item Embedding with Mixture of Representation in E-commerce. - Jianyi Yang, Shaolei Ren:
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity. - Md Mamunur Rasid, Masato Kimura, Md Masum Murshed, Erny Rahayu Wijayanti, Hirofumi Notsu:
A two-step Lagrange-Galerkin scheme for the shallow water equations with a transmission boundary condition and its application to the Bay of Bengal region. - Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu, Paolo Rosso:
An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder. - Chong Zheng, Shengheng Liu, Yongming Huang, Wei Zhang, Luxi Yang:
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks. - Liumeng Xue, Shan Yang, Na Hu, Dan Su, Lei Xie:
Learning Noise-independent Speech Representation for High-quality Voice Conversion for Noisy Target Speakers. - Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. - Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. - Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. - Shahaf Bassan, Yossi Adi, Jeffrey S. Rosenschein:
Unsupervised Symbolic Music Segmentation using Ensemble Temporal Prediction Errors. - Ruinan Jin, Xiaoxiao Li:
Backdoor Attack is A Devil in Federated GAN-based Medical Image Synthesis. - Shiyuan Hu, Shihan Xiao:
Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents. - Kai Jin, Danna Zhang, Canhui Zhang:
Sum-of-Max Partition under a Knapsack Constraint. - Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. - Zhengchuan Chen, Dapeng Deng, Howard H. Yang, Nikolaos Pappas, Limei Hu, Yunjian Jia, Min Wang, Tony Q. S. Quek:
Analysis of Age of Information in Dual Updating Systems. - Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu:
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. - Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi:
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification. - Ebrahim Chekol Jibril, A. Cüneyd Tantug:
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer. - Michael Chang, Thomas L. Griffiths, Sergey Levine:
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation. - Weitao Zhou, Zhong Cao, Yunkang Xu, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. - Chenyu Wu, Changsheng You, Yuanwei Liu, Shuo Shi, Marco Di Renzo:
Two-Timescale Design for STAR-RIS Aided NOMA Systems. - Carlo Monjaraz-Tec, Lukas Kohlmann, Stefan Schwarz, Andreas Hartung, Johann Gross, Malte Krack:
Prediction and validation of the strongly modulated forced response of two beams undergoing frictional impacts. - Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang:
Boundary-Guided Camouflaged Object Detection. - Felix Gehr, Timo Theurich, Carlo Monjaraz-Tec, Johann Gross, Stefan Schwarz, Andreas Hartung, Malte Krack:
Computational and experimental analysis of the impact of a sphere on a beam and the resulting modal energy distribution. - Yuping Ye, Siyuan Chen, Zhan Song:
Benchmarks for Industrial Inspection Based on Structured Light. - Xu Chang, Zhitong Zhang, Honglei An, Hongxu Ma, Qing Wei:
Learning fast and agile quadrupedal locomotion over complex terrain. - Maheshya Weerasinghe, Aaron Quigley, Klen Copic Pucihar, Alice Toniolo, Angela Miguel, Matjaz Kljun:
Arigatō: Effects of Adaptive Guidance on Engagement and Performance in Augmented Reality Learning Environments. - Keita Ishizuka:
Construction of quaternary Hermitian LCD codes. - Xingyu Wu, Jinyang Li:
An AIoT-enabled Autonomous Dementia Monitoring System. - Ágoston Sipos:
Corner-based implicit patches. - Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li:
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis. - Katherine M. Collins, Umang Bhatt, Adrian Weller:
Eliciting and Learning with Soft Labels from Every Annotator. - Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. - Davide Stirparo, Beatrice Penna, Mohammad Kazemi, Ariona Shashaj:
Mining Tourism Experience on Twitter: A case study. - Berlin Chen, Cyrus Mostajeran, Salem Said:
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. - Mohammed Al-Tajer, Richard Adeyemi Ikuesan:
Cyber Security Threat Awareness Framework for High School Students in Qatar. - Alexander Serov:
Kernel Based Cognitive Architecture for Autonomous Agents. - Armando Castañeda, Hans van Ditmarsch, David A. Rosenblueth, Diego A. Velázquez:
Communication Pattern Logic: Epistemic and Topological Views. - Hongde Wu, Mingming Liu:
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention. - Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, Jun Wang:
ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs. - Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun:
Firenze: Model Evaluation Using Weak Signals. - Eleftherios Kapelonis, Efthymios Georgiou, Alexandros Potamianos:
A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking. - Rongsheng Wu, Xiande Zhang:
Balanced reconstruction codes for single edits. - Jingyao Wang, Naigong Yu:
UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv5. - Zhiwen Zhang, Hongjun Wang, Jiyuan Chen, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation. - Huanhui Cao, Zhiyuan Cai, Hairuo Wei, Wenjie Lu, Lin Zhang, Hao Xiong:
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance. - Joris Ceulemans, Andreas Nuyts, Dominique Devriese:
Sikkel: Multimode Simple Type Theory as an Agda Library. 93-112 - Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert:
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. - Martin Elsman, Fritz Henglein, Robin Kaarsgaard, Mikkel Kragh Mathiesen, Robert Schenck:
Combinatory Adjoints and Differentiation. 1-26 - Peter Kourzanov:
Tableless Calculation of Circular Functions on Dyadic Rationals. 45-70 - Fritz Henglein, Robin Kaarsgaard, Mikkel Kragh Mathiesen:
The Programming of Algebra. 71-92 - Dylan McDermott, Tarmo Uustalu:
What Makes a Strong Monad? 113-133 - Alexandre Garcia de Oliveira, Mauro Jaskelioff, Ana Cristina Vieira de Melo:
On Structuring Functional Programs with Monoidal Profunctors. 134-150 - Leon Yan, Santosh Devasia:
Precision Data-enabled Koopman-type Inverse Operators for Linear Systems. - Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti:
Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. - Marcin Kowalczyk, Tomasz Kryjak:
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm. - Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Sangpil Kim, Jinkyu Kim:
ORA3D: Overlap Region Aware Multi-view 3D Object Detection. - Travis LaCroix:
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial. - Najeeb Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating Targeted Attacks in Federated Learning. - Salim Janji, Adrian Kliks:
Energy-efficient User Clustering for UAV-enabled Wireless Networks Using EM Algorithm. - Salim Janji, Adrian Kliks:
Neural Networks for Path Planning. - Shaina Raza, Brian Schwartz:
A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities. - Douglas Blackiston, Sam Kriegman, Josh C. Bongard, Michael Levin:
Biological Robots: Perspectives on an Emerging Interdisciplinary Field. - Kun Wei, Pengcheng Guo, Ning Jiang:
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism. - Vassil Yorgov:
Derivatives of Complete Weight Enumerators and New Balance Principle of Binary Self-Dual Codes. - Xiaohao Xu, Jinglu Wang, Xiang Ming, Yan Lu:
Towards Robust Video Object Segmentation with Adaptive Object Calibration. - Tyson Brooks:
The Professionalization of the Hacker Industry. - Md. Jobair Hossain Faruk, Santhiya Subramanian, Hossain Shahriar, Maria Valero, Xia Li, Masrura Tasnim:
Software Engineering Process and Methodology in Blockchain-Oriented Software Development: A Systematic Study. - Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan C. Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. - Maheshya Weerasinghe, Verena Biener, Jens Grubert, Aaron J. Quigley, Alice Toniolo, Klen Copic Pucihar, Matjaz Kljun:
VocabulARy: Learning Vocabulary in AR Supported by Keyword Visualisations. - Anetta Jedlickova, Martin Loebl, David Sychrovsky:
Critical Distribution System. - Marija Ivanovska, Andrej Kronovsek, Peter Peer, Vitomir Struc, Borut Batagelj:
Face Morphing Attack Detection Using Privacy-Aware Training Data. - Tamir Shaqarin, Bernd R. Noack:
A fast converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME). - Jamshid Sourati, James Evans:
Complementary artificial intelligence designed to augment human discovery. - Seyyed Mostafa Mousavi Janbeh Sarayi, Mansour Nikkhah Bahrami:
A Structured Sparse Neural Network and Its Matrix Calculations Algorithm. - Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez:
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets. - Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. - Hassan Wagih, Mostafa Osman, Mohammed I. Awad, Sherif Hammad:
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks. - Satvik Sharma, Ellen R. Novoseller, Vainavi Viswanath, Zaynah Javed, Rishi Parikh, Ryan Hoque, Ashwin Balakrishna, Daniel S. Brown, Ken Goldberg:
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies. - Yuhao Nie, Xiatong Li, Andea Scott, Yuchi Sun, Vignesh Venugopal, Adam Brandt:
SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting. - Zoe Xi, William Kuszmaul:
Approximating Dynamic Time Warping Distance Between Run-Length Encoded Strings. - Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert:
An AlphaZero-Inspired Approach to Solving Search Problems. - Junaid Rasheed, Michal Konecný:
Auto-active Verification of Floating-point Programs via Nonlinear Real Provers. - Maria Angelika-Nikita, Celso M. de Melo, Kazunori Terada, Gale M. Lucas, Jonathan Gratch:
The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis. - Sepehr Assadi, Aaron Bernstein, Aditi Dudeja:
Decremental Matching in General Graphs. - Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous Sign Language Recognition via Temporal Super-Resolution Network. - Toshiki Kawamoto, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura:
Generating Repetitions with Appropriate Repeated Words. - Jiaxin Wu, Pingfeng Wang:
Graph Learning based Generative Design for Resilience of Interdependent Network Systems. - Wei Tang, Margaret Martonosi:
ScaleQC: A Scalable Framework for Hybrid Computation on Quantum and Classical Processors. - Mingsheng Yin, Yaqi Hu, Tommy Azzino, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan:
Wireless Channel Prediction in Partially Observed Environments. - Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. - Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. - Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus, Taskin Padir:
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. - Fuzhi Yang, Huan Yang, Yanhong Zeng, Jianlong Fu, Hongtao Lu:
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution. - Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao:
GlassDB: Practical Verifiable Ledger Database Through Transparency. - Jinming Zhao, Hao Yang, Ehsan Shareghi, Gholamreza Haffari:
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation. - Shi-Liang Wu, Cui-Xia Li:
The error bounds and perturbation bounds of the absolute value equations and some applications. - Edith Cohen, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. - Kumar Vijay Mishra, Samuel Pinilla, Ali Pezeshki, A. Robert Calderbank:
Group-Theoretic Wideband Radar Waveform Design. - Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan:
WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects. - Chang Sun, Zili Wang, Shuyou Zhang, Taotao Zhou, Jie Li, Jianrong Tan:
Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL. - Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. - Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, Sam Kwong:
Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement. - Chris Schwiegelshohn, Omar Ali Sheikh-Omar:
An Empirical Evaluation of k-Means Coresets. - Dingzhu Wen, Peixi Liu, Guangxu Zhu, Yuanming Shi, Jie Xu, Yonina C. Eldar, Shuguang Cui:
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI. - Ting Li, Bin Wang:
Continuous-stage symplectic adapted exponential methods for charged-particle dynamics with arbitrary electromagnetic fields. - Zsuzsanna Lipták, Francesco Masillo, Simon J. Puglisi:
Suffix sorting via matching statistics. - Lin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang:
Trichomonas Vaginalis Segmentation in Microscope Images. - Youjia Wang, Teng Xu, Yiwen Wu, Minzhang Li, Wenzheng Chen, Lan Xu, Jingyi Yu:
NARRATE: A Normal Assisted Free-View Portrait Stylizer. - Nguyen Ha Thanh:
Understanding Tieq Viet with Deep Learning Models. - Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. - Dmytro Lande, Volodymyr Yuzefovych, Yevheniia Tsybulska:
Linguistic Approach to Time Series Forecasting. - Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan:
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. - Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. - Huaying Xue, Xiulian Peng, Xue Jiang, Yan Lu:
Towards Error-Resilient Neural Speech Coding. - (Withdrawn) Dynamic boxes fusion strategy in object detection.
- Pierluigi Poggiolini, Mahdi Ranjbar Zefreh:
Closed Form Expressions of the Nonlinear Interference for UWB Systems. - Diego Guffanti, Alberto Brunete, Miguel Hernando, David Álvarez, Javier Rueda, Enrique Navarro:
Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis. - Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. - Menna Hassan, Nourhan Sakr, Arthur Charpentier:
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. - Iqra Ameer, Muhammad Arif, Grigori Sidorov, Helena Gómez-Adorno, Alexander F. Gelbukh:
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning. - Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
One-off Events? An Empirical Study of Hackathon Code Creation and Reuse. - Tobias Glasmachers:
Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM! - Johannah Sprinz:
"Y'all are just too sensitive": A computational ethics approach to understanding how prejudice against marginalized communities becomes epistemic belief. - Marco Virgolin, Solon P. Pissis:
Symbolic Regression is NP-hard. - Muhammad Bilal Qureshi, Hyeok Kim, Muhammad Fayaz, Pravin Pawar:
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction. - Shalev Shaer, Yaniv Romano:
Learning to Increase the Power of Conditional Randomization Tests. - Tatsuya Gima, Takehiro Ito, Yasuaki Kobayashi, Yota Otachi:
Algorithmic Meta-Theorems for Combinatorial Reconfiguration Revisited. - Fabio Bergonti, Gabriele Nava, Luca Fiorio, Giuseppe L'Erario, Daniele Pucci:
Modeling and Control of Morphing Covers for the Adaptive Morphology of Humanoid Robots. - Fabio Bergonti, Luca Fiorio, Daniele Pucci:
Torque and velocity controllers to perform jumps with a humanoid robot: theory and implementation on the iCub robot. - You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu:
Finding Top-r Influential Communities under Aggregation Functions. - Wu Zheng, Li Jiang, Fanbin Lu, Yangyang Ye, Chi-Wing Fu:
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds. - Bertrand Teguia Tabuguia, Wolfram Koepf:
FPS In Action: An Easy Way To Find Explicit Formulas For Interlaced Hypergeometric Sequences. - Alexander Schperberg, Yuki Shirai, Xuan Lin, Yusuke Tanaka, Dennis W. Hong:
Auto-Calibrating Admittance Controller for Robust Motion of Robotic Systems. - Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. - Jinze Li, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Shaoyun Xu, Tao Bai:
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning. - Bertrand Teguia Tabuguia:
Guessing With Quadratic Differential Equations. - Fleurianne Bertrand, Carsten Carstensen, Benedikt Gräßle, Ngoc Tien Tran:
Stabilization-free HHO a posteriori error control. - Taha Yasseri, Patrick Gildersleve, Lea David:
Collective Memory in the Digital Age. - Paul Guerrero, Milos Hasan, Kalyan Sunkavalli, Radomír Mech, Tamy Boubekeur, Niloy J. Mitra:
MatFormer: A Generative Model for Procedural Materials. - Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner:
FEANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining. - Negar Hashemi, Amjed Tahir, Shawn Rasheed:
An Empirical Study of Flaky Tests in JavaScript. - Benjamin Lion, Farhad Arbab, Carolyn L. Talcott:
A Formal Framework for Distributed Cyber-Physical Systems. - Jinrui Zhang, Teng Wang, Feng Zheng, Ran Cheng, Ping Luo:
Exploiting Context Information for Generic Event Boundary Captioning. - Dimitrios Stoidis, Andrea Cavallaro:
Generating gender-ambiguous voices for privacy-preserving speech recognition. - Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. - Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja:
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis. - Mame Gor Ngom, Ibrahima Faye, Diaraf Seck:
On shape and topological optimization problems with constraints Helmholtz equation and spectral problems. - Yi Zhang, Junyang Wang, Jitao Sang:
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models. - Weiming Zhuang, Chongjie Ye, Ying Xu, Pengzhi Mao, Shuai Zhang:
Chat-to-Design: AI Assisted Personalized Fashion Design. - Matthew Groh:
Identifying the Context Shift between Test Benchmarks and Production Data. - Uisub Shin, Cong Ding, Virginia Woods, Alik S. Widge, Mahsa Shoaran:
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC. - Ting-Jui Chang, Shahin Shahrampour:
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. - Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. - Xiaoke Shen, Zhujun Li, Jaime Canizales, Ioannis Stamos:
You Only Need One Detector: Unified Object Detector for Different Modalities based on Vision Transformers. - Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Sub-cluster-aware Network for Few-shot Skin Disease Classification. - Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing:
Divert More Attention to Vision-Language Tracking. - Renrui Zhang, Ziyao Zeng, Ziyu Guo:
Can Language Understand Depth? - Kenneth Ooi, Zhen-Ting Ong, Karn N. Watcharasupat, Bhan Lam, Joo Young Hong, Woon-Seng Gan:
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes. - Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. - Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. - Nathan Hubens:
FasterAI: A Lightweight Library for Creating Sparse Neural Networks. - Minh Nguyen, Nicolas Wu:
Folding over Neural Networks. - Fausto Giunchiglia, Mayukh Bagchi:
Representation Heterogeneity. - Alexander Schäfer, Gerd Reis, Didier Stricker:
The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments. - Yun Liao, Seyyed Ali Hashemi, Hengjie Yang, John M. Cioffi:
Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach. - Vahid Reza Khazaie, Anthony Wong, John Taylor Jewell, Yalda Mohsenzadeh:
Anomaly Detection with Adversarially Learned Perturbations of Latent Space. - Sujoy Bhore, Fabian Klute, Jelle J. Oostveen:
On Streaming Algorithms for Geometric Independent Set and Clique. - Václav Blazej, Pratibha Choudhary, Dusan Knop, Simon Schierreich, Ondrej Suchý, Tomás Valla:
On Polynomial Kernels for Traveling Salesperson Problem and its Generalizations. - Vahid Reza Khazaie, Anthony Wong, Yalda Mohsenzadeh:
Augment to Detect Anomalies with Continuous Labelling. - Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar:
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? - Shuheng Liu, Xiyue Huang, Pavlos Protopapas:
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems. - Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias:
USHER: Unbiased Sampling for Hindsight Experience Replay. - Guangji Bai, Liang Zhao:
Saliency-Regularized Deep Multi-Task Learning. - Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi:
PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration. - Noam Gottlieb, Michael Werman:
DecisioNet: A Binary-Tree Structured Neural Network. - Shin-Ichi Nakano:
A Gray Code of Ordered Trees. - Giulia Perugia, Dominika Lisy:
Robot's Gendering Trouble: A Scoping Review of Gendering Humanoid Robots and its Effects on HRI. - Zhenyu Zhang, Anas Chaaban:
Capacity Bounds for the Two-User IM/DD Interference Channel. - Lingyu Zhu, Esa Rahtu, Hang Zhao:
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision. - Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little:
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce. - Dimitrios Kollias:
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges. - Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon:
How to Sample Approval Elections? - Meghal Gupta, Rachel Yun Zhang:
Efficient Interactive Coding Achieving Optimal Error Resilience Over the Binary Channel. - Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu:
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. - Alexandros Dimitrios Keros, Kartic Subr:
Generalized Spectral Coarsening. - Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-driven design of explicit predictive controllers using model-based priors. - Keshav Kasichainula, Hadi Mansourifar, Weidong Shi:
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries. - Bin Chen, Yi Lei, Gabriele Liga, Zhiwei Liang, Wei Ling, Xuwei Xue, Alex Alvarado:
Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems. - Dinh Dung, Van Kien Nguyen:
Optimal numerical integration and approximation of functions on Rd equipped with Gaussian measure. - Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. - Danpeng Chen, Shuai Wang, Weijian Xie, Shangjin Zhai, Nan Wang, Hujun Bao, Guofeng Zhang:
VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM. - Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang:
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. - Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. - Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-absent Human Attention. - Chang Liu, Yugong Luo, Pengfei Li, Chunhui Xing, Weiwei Kong:
An Extendable Maneuver Management Framework with Fault-Tolerant Mechanism for Vehicle Platoon Control System in Highway Scenario. - Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. - Alessandra Carneiro, Lorena Nascimento, Mauricio Noernberg, Carmem S. Hara, Aurora T. R. Pozo:
Portuguese Man-of-War Image Classification with Convolutional Neural Networks. - Chang Liu, Gang Yang, Shuo Wang, Hangxu Wang, Yunhua Zhang, Yutao Wang:
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection. - Yuhang Wang, Guiyu Cao, Liang Pan:
Multiple-GPU accelerated high-order gas-kinetic scheme for direct numerical simulation of compressible turbulence. - Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. - Wendi Zuo, Xinmin Hou:
An Improved Probability Propagation Algorithm for Density Peak Clustering Based on Natural Nearest Neighborhood. - Yusuke Tanaka, Yuki Shirai, Xuan Lin, Alexander Schperberg, Hayato Kato, Alexander Swerdlow, Naoya Kumagai, Dennis W. Hong:
SCALER: A Tough Versatile Quadruped Free-Climber Robot. - Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. - Sandy Ardianto, Hsueh-Ming Hang, Wen-Huang Cheng:
Fast Vehicle Detection and Tracking on Fisheye Traffic Monitoring Video using CNN and Bounding Box Propagation. - Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li:
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. - Jiashu Wu:
Learning to Rank with Small Set of Ground Truth Data. - Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
Learning node embeddings via summary graphs: a brief theoretical analysis. - Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. - Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie:
A Customised Text Privatisation Mechanism with Differential Privacy. - Xiaoyu Wang, Xiangyu Kong, Xiulian Peng, Yan Lu:
Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation. - Tao Li, Xinsheng Wang, Qicong Xie, Zhichao Wang, Mingqi Jiang, Lei Xie:
Cross-speaker Emotion Transfer Based On Prosody Compensation for End-to-End Speech Synthesis. - Jiahao Liang, Weihong Deng:
Identifying Rhythmic Patterns for Face Forgery Detection and Categorization. - Jiahang Zhang, Lilang Lin, Zejia Fan, Wenjing Wang, Jiaying Liu:
S5Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation. - Fernando Giner:
On the Effect of Ranking Axioms on IR Evaluation Metrics. - Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Yan Lu, Bhiksha Raj:
R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency. - Eugene P. W. Ang, Shan Lin, Rahul Ahuja, Nemath Ahmed, Alex C. Kot:
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics. - Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan:
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. - Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. - Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. - Xiangri Lu:
Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game. - Junbo Zhang, Weiwei Wan, Nobuyuki Tanaka, Miki Fujita, Kensuke Harada:
Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing. - Cheng Zou, Furong Xu, Meng Wang, Wen Li, Yuan Cheng:
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022. - Oshri Naparstek, Ophir Azulai, Daniel Rotman, Yevgeny Burshtein, Peter W. J. Staar, Udi Barzelay:
BusiNet - a Light and Fast Text Detection Network for Business Documents. - Chenggang Shan, Guan Wang, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang:
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes. - Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian:
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction. - Shahid Alam:
Cybersecurity: Past, Present and Future. - K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Segmentation Guided Deep HDR Deghosting. - Kaitao Meng, Qingqing Wu, Robert Schober, Wen Chen:
Intelligent Reflecting Surface Enabled Multi-Target Sensing. - Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling. - Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen:
Look beyond labels: Incorporating functional summary information in Bayesian neural networks. - Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta:
Approximate Vanishing Ideal Computations at Scale. - Zhongxiang Chang, Yuning Chen, Zhongbao Zhou:
Satellite downlink scheduling under breakpoint resume mode. - Ye Liu, Lingfeng Qiao, Di Yin, Zhuoxuan Jiang, Xinghua Jiang, Deqiang Jiang, Bo Ren:
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification. - Fabian Küppers, Jonas Schneider, Anselm Haselhoff:
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. - Zhenyu Kang, Changsheng You, Rui Zhang:
Active-Passive IRS aided Wireless Communication: New Hybrid Architecture and Elements Allocation Optimization. - Yair Neuman, Yochai Cohen:
A Permutation-Based Heuristic for Buy Low, Sell High. - Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows. - Bohan Yang, Bo Lu, Wei Chen, Fangxun Zhong, Yun-Hui Liu:
Model-Free 3D Shape Control of Deformable Objects Using Novel Features Based on Modal Analysis. - Zhongxiang Chang, Zhongbao Zhou:
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS. - Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai:
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. - Emad Shihab, Stefan Wagner, Marco Aurélio Gerosa, Mairieli Santos Wessel, Jordi Cabot:
The Present and Future of Bots in Software Engineering. - Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang:
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. - Ran Yu, Limock, Stefan Dietze:
Still Haven't Found What You're Looking For - Detecting the Intent of Web Search Missions from User Interaction Features. - Zhongxiang Chang, Abraham P. Punnen, Zhongbao Zhou:
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites. - Xiao Qi, Mejdi Azaïez, Can Huang, Chuanju Xu:
An efficient numerical approach for stochastic evolution PDEs driven by random diffusion coefficients and multiplicative noise. - Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha:
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. - Zhanheng Yang, Hang Lv, Xiong Wang, Ao Zhang, Lei Xie:
Minimizing Sequential Confusion Error in Speech Command Recognition. - Leonid Boytsov, Tianyi Lin, Fangwei Gao, Yutian Zhao, Jeffrey Huang, Eric Nyberg:
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding. - Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta:
The Capacity of Fading Vector Gaussian Channels Under Amplitude Constraints on Antenna Subsets. - Zhanheng Yang, Sining Sun, Jin Li, Xiaoming Zhang, Xiong Wang, Long Ma, Lei Xie:
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer. - Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig:
DiffML: End-to-end Differentiable ML Pipelines. - Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang:
FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Shivansh Beohar, Fabian Heinrich, Rahul Kala, Helge J. Ritter, Andrew Melnik:
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space. - Javier Garcia, Michael Yannuzzi, Peter Kramer, Christian Rieck, Aaron T. Becker:
Connected Reconfiguration of Polyominoes Amid Obstacles using RRT. - Zhiguang Zhao:
Sahlqvist-Type Completeness Theory for Hybrid Logic with Binder. - Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Game State Learning via Game Scene Augmentation. - Gangli Liu:
A New Index for Clustering Evaluation Based on Density Estimation. - Ester Gonzalez-Sosa, Andrija Gajic, Diego González Morín, Guillermo Robledo, Pablo Pérez, Álvaro Villegas:
Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality. - Wenhao Wu, Zhun Sun, Wanli Ouyang:
Transferring Textual Knowledge for Visual Recognition. - Jingyao Zhang, Hoda Naghibijouybari, Elaheh Sadredini:
Sealer: In-SRAM AES for High-Performance and Low-Overhead Memory Encryption. - Alexandre Anahory Simoes, Efstratios Stratoglou, Anthony M. Bloch, Leonardo J. Colombo:
Virtual Nonholonomic Constraints: A Geometric Approach. - Xueyan Yin, Feifan Li, Yanming Shen, Heng Qi, Baocai Yin:
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction. - Hoang Thi Thu Uyen, Nguyen Anh Tu, Ta Duc Huy:
Vietnamese Capitalization and Punctuation Recovery Models. - Syed Salman Alam, Muhammad Al-Qurishi, Riad Souissi:
Estimating indoor crowd density and movement behavior using WiFi Sensing. - Hannes Bartz, Thomas Jerkovits, Johan Rosenkilde:
Fast Kötter-Nielsen-Høholdt Interpolation over Skew Polynomial Rings and its Application in Coding Theory. - Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W. H. Lau:
Harmonizer: Learning to Perform White-Box Image and Video Harmonization. - Xurxo Rigueira, Javier Martinez, Maria Araújo, Antonio Recaman:
Computer vision application for improved product traceability in the granite manufacturing industry. - Namita Behera, Avisek Bist:
Fiedler Linearizations of Multivariable State-Space System and its Associated System Matrix. - Håkan Runvik, Alexander Medvedev:
Input Sequence and Parameter Estimation in Impulsive Biomedical Models. - Salih Furkan Akkurt, Büsra Marsan, Suzan Uskudarli:
BoAT v2 - A Web-Based Dependency Annotation Tool with Focus on Agglutinative Languages. - Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Wenting Song, Huajun Chen:
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning. - Wenyu Liu, Wentong Li, Jianke Zhu, Miaomiao Cui, Xuansong Xie, Lei Zhang:
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters. - Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento:
The least-control principle for learning at equilibrium. - Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu, Rong-Cheng Tu, Yanru Zhu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Wei Liu, Mike Zheng Shou:
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. - Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi, Periklis Petropoulos, Metodi P. Yankov:
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling. - Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause:
Safe Reinforcement Learning via Confidence-Based Filters. - Tephilla Prince, Atif Abdur Rahman, Sheerazuddin Syed:
Formal Verification of Safety Properties Using Interpolation and k-induction. - Jiaxin Wei, Lan Hu, Chenyu Wang, Laurent Kneip:
Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database. - Bartosz Kusmierz, Roman Overko:
How centralized is decentralized? Comparison of wealth distribution in coins and tokens. - Yuzhong Zhao, Yuanqiang Cai, Weijia Wu, Weiqiang Wang:
Explore Faster Localization Learning For Scene Text Detection. - Luca Ballotta, Giacomo Como, Jeff S. Shamma, Luca Schenato:
Can Competition Outperform Collaboration? The Role of Malicious Agents. - Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia:
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes. - Tommaso Bevilacqua, Simone Scacchi:
BDDC preconditioners for divergence free virtual element discretizations of the Stokes equations. - Philip B. Stark:
Non(c)esuch Ballot-Level Risk-Limiting Audits for Precinct-Count Voting Systems. - Andrea Pimpinella, Federico Di Giusto, Alessandro Redondi, Luisa Venturini, Andrea Pavon:
Forecasting Busy-Hour Downlink Traffic in Cellular Networks. - Eitan Kosman, Dotan Di Castro:
GraphVid: It Only Takes a Few Nodes to Understand a Video. - Su Been Lee, WonJun Moon, Jae-Pil Heo:
Task Discrepancy Maximization for Fine-grained Few-Shot Classification. - Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger:
Detection of ADHD based on Eye Movements during Natural Viewing. - Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. - Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin:
Multi-granularity Item-based Contrastive Recommendation. - Chunzhi Gu, Jun Yu, Chao Zhang:
Learning Disentangled Representations for Controllable Human Motion Prediction. - André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D data: A systematic review and taxonomy. - Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang:
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. - Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Autonomous Drug Design with Multi-armed Bandits. - Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. - Namwoo Lee, Hyunsu Kim, Gayoung Lee, Sungjoo Yoo, Yunjey Choi:
Memory Efficient Patch-based Training for INR-based GANs. - Yaguan Qian, Yuqi Wang, Bin Wang, Zhaoquan Gu, Yuhan Guo, Wassim Swaileh:
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning. - Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
Large-scale Robustness Analysis of Video Action Recognition Models. - Daniel Etiemble:
Two New CNTFET Quaternary Full Adders for Carry-Propagate Adders. - Elvys Linhares Pontes, Mohamed Benjannet, José G. Moreno, Antoine Doucet:
Using contextual sentence analysis models to recognize ESG concepts. - Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. - Zhikai Li, Qingyi Gu:
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference. - Björn Lindqvist, Sina Sharif Mansouri, Jakub Haluska, George Nikolakopoulos:
Reactive Navigation of an Unmanned Aerial Vehicle with Perception-based Obstacle Avoidance Constraints. - Rubén Izquierdo, Álvaro Quintanar, David Fernández Llorca, Iván García Daza, Noelia Hernández, Ignacio Parra, Miguel Ángel Sotelo:
Vehicle Trajectory Prediction on Highways Using Bird Eye View Representations and Deep Learning. - Jil Klünder, Oliver Karras:
Meetings and Mood - Related or Not? Insights from Student Software Projects. - Loïc Bidoux, Pierre Briaud, Maxime Bros, Philippe Gaborit:
RQC revisited and more cryptanalysis for Rank-based Cryptography. - Haofeng Yuan, Peng Jiang, Shiji Song:
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. - Zhongxiang Chang, Zhongbao Zhou:
Satellite image data downlink scheduling problem with family attribute: Model &Algorithm. - Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling Random and Cyclic Effects in Time-Lapse Sequences. - Kai Ploeger, Jan Peters:
Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. - Jing Wang, Lingfei Xuan, Wenxuan Wang, Tianxiang Zhang, Jiangyun Li:
Positive-Negative Equal Contrastive Loss for Semantic Segmentation. - Yuki Shirai, Xuan Lin, Alexander Schperberg, Yusuke Tanaka, Hayato Kato, Varit Vichathorn, Dennis W. Hong:
Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots. - Yuqi Wang, Zhiqiang He, Shenghui Huang, Huabin Du:
A Robust Ensemble Model for Patasitic Egg Detection and Classification. - Gianluigi Lopardo, Damien Garreau:
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data. - Yang Li, Shixin Zhu:
On Constructions of New MDS Codes with Arbitrary-Dimensional Galois Hulls. - Qingguo Hong, Limin Ma, Jinchao Xu:
An efficient iterative method for dynamical Ginzburg-Landau equations. - Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao:
Dynamic Contrastive Distillation for Image-Text Retrieval. - Yu Kawano, Michele Cucuzzella, Shuai Feng, Jacquelien M. A. Scherpen:
Krasovskii and Shifted Passivity Based Output Consensus. - Benjamin Post, Cosmin Badea, Aldo Faisal, Stephen J. Brett:
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus. - Yue Qin, Xiaojing Liao:
Cybersecurity Entity Alignment via Masked Graph Attention Networks. - Georgios Koukis:
Satellite assisted disrupted communications in OMNeT++: Experiments and IoT Case Study. - Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley:
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. - Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, Lars Schmidt-Thieme:
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning. - Liling Gong, Ye Guo, Hongbin Sun:
MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets. - Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. - Maximilian Brunner, Weixuan Zhang, Ahmad Roumie, Marco Tognon, Roland Siegwart:
MPC with Learned Residual Dynamics with Application on Omnidirectional MAVs. - Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang:
Open-world Semantic Segmentation for LIDAR Point Clouds. - Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann:
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi, Luca Pappalardo:
How Routing Strategies Impact Urban Emissions. - Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. - Itai Boneh, Robert Krauthgamer:
Optimal Vertex-Cut Sparsification of Quasi-Bipartite Graphs. - Xincheng Yao, Chongyang Zhang, Ruoqi Li:
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Better Anomaly Detection. - Alexandros Kontogiannis, Matthew P. Juniper:
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem. - Xing Hu, Sam Toueg:
On implementing SWMR registers from SWSR registers in systems with Byzantine failures. - Rui Wang, Chongwei Liu, Xudong Mou, Xiaohui Guo, Kai Gao, Pin Liu, Tianyu Wo, Xudong Liu:
Deep Contrastive One-Class Time Series Anomaly Detection. - Andrew Bell, Oded Nov, Julia Stoyanovich:
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance. - Alexander Wang, Jerry Sun, Kaitlyn Chen, Kevin Zhou, Edward Li Gu, Chenxin Fang:
"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation. - David James Woo, Yanzhi Wang, Hengky Susanto:
Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools. - Muhammad Aurangzeb Ahmad, Raafia Ahmed, Steve Overman, Patrick Campbell, Corinne Stroum, Bipin Karunakaran:
Machine Learning for Deferral of Care Prediction. - Slavisa Aleksic, Michael Atanasov, Jean Calleja-Agius, Kenneth P. Camilleri, Anto Cartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Mustafa Ekrem Erakin, Francisco Flórez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, María J. Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank:
State of the Art of Audio- and Video-Based Solutions for AAL. - Alessandra Zimmermann, Richard Klavans, Heather Offhaus, Teri A. Grieb, Caleb Smith:
Award rate inequities in biomedical research. - Samuel Bonet Olivencia, Karim Zahed, Farzan Sasangohar, Rotem Davir, Arnold Vedlitz:
Integration of Remote Patient Monitoring Systems into Physicians Work in Underserved Communities: Survey of Healthcare Provider Perspectives. - Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. - Ruchita Bhadre, Prathamesh Yeole, Tejas Ranka, Rohini Mudhalwadkar:
SmartMask- Developing an automated self-care system. - Arif Ali Khan, Muhammad Azeem Akbar, Muhammad Waseem, Mahdi Fahmideh, Aakash Ahmad, Peng Liang, Mahmood Niazi, Pekka Abrahamsson:
AI Ethics: Software Practitioners and Lawmakers Points of View. - Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal:
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. - John Nay, James Daily:
Aligning Artificial Intelligence with Humans through Public Policy. - Sebastian Damek, Heinrich Söbke, Franziska Weise, Maria Reichelt:
(Meta) Competences for Digital Practice: Educational Scenarios for the Workplace of the Future Exemplified by Building Information Modeling Work Processes. - Odile Bellenguez, Nadia Brauner, Alexis Tsoukiàs:
Is there an Ethical Operational Research? - Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher:
Proteus: A Self-Designing Range Filter. - Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. - Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu:
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. - Gandharv Dhruv Madan:
Understanding misinformation in India: The case for a meaningful regulatory approach for social media platforms. - Karlo Sepetanc, Hrvoje Pandzic, Tomislav Capuder:
Solving Bilevel AC OPF Problems by Smoothing the Complementary Conditions - Part II: Solution Techniques and Case Study. - Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen M. Scott, Xuan Zhao, Gourab K. Patro, Gjergji Kasneci, Katharina Kinder-Kurlanda:
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation. - Oliver Y. Chén:
Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice. - Senthil Kumar Jagatheesaperumal, Kashif Ahmad, Ala I. Al-Fuqaha, Junaid Qadir:
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues. - Kaja Schmidt, Gonzalo Munilla Garrido, Alexander Mühle, Christoph Meinel:
Mitigating Sovereign Data Exchange Challenges: A Mapping to Apply Privacy- and Authenticity-Enhancing Technologies. - Seongwoo Choi:
Improving Medical Systems in the United States using Knowledge-Based Systems. - Robert Baumgartner, Sicco Verwer:
Learning state machines via efficient hashing of future traces. - Fengyuan Liu, Petter Holme, Matteo Chiesa, Bedoor K. AlShebli, Talal Rahwan:
Gender inequality and self-publication patterns among scientific editors. - Takashi Ishizuka, Naoyuki Kamiyama:
On Finding Pure Nash Equilibria of Discrete Preference Games and Network Coordination Games. - Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. - Ruina Sun, Yuexin Pang:
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer. - Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. - Nicolás E. Díaz Ferreyra, Melina C. Vidoni, Maritta Heisel, Riccardo Scandariato:
Cybersecurity Discussions in Stack Overflow: A Developer-Centred Analysis of Engagement and Self-Disclosure Behaviour. - Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov:
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. - Aline Goeminne, Nicolas Markey, Ocan Sankur:
Non-Blind Strategies in Timed Network Congestion Games. - Chenxi Dong, Junchang Zhang, Dalue Lin, Qingpeng Zhang, Zhichao Yan, Yuechun Yu, Cao Kang, Bin Hu:
An Integrated System of Drug Matching and Abnormal Approval Number Correction. - Jincen Jiang, Xuequan Lu, Lizhi Zhao, Richard Dazeley, Meili Wang:
Masked Autoencoders in 3D Point Cloud Representation Learning. - Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino:
Approximation bounds for convolutional neural networks in operator learning. - Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. - Julian D'Costa, Engel Lefaucheux, Eike Neumann, Joël Ouaknine, James Worrell:
Bounding the Escape Time of a Linear Dynamical System over a Compact Semialgebraic Set. - Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik:
Correlated Stochastic Knapsack with a Submodular Objective. - Noor Alakhawand, William Frier, Nathan F. Lepora:
Mapping Mid-air Haptics with a Low-cost Tactile Robot. - Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama:
Learning from Multiple Unlabeled Datasets with Partial Risk Regularization. - Vahid Ziaei-Rad, Mostafa Mollaali, Thomas Nagel, Olaf Kolditz, Keita Yoshioka:
Orthogonal decomposition of anisotropic constitutive models for the phase field approach to fracture. - Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi:
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. - Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski:
Selectively increasing the diversity of GAN-generated samples. - Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski:
Progressive Latent Replay for efficient Generative Rehearsal. - Yannik Mahlau, Christian Nolde:
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques. - Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber:
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. - Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
Back to MLP: A Simple Baseline for Human Motion Prediction. - Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber:
Goal-Conditioned Generators of Deep Policies. - Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets. - Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Gregory J. Pottie:
De-Biasing Generative Models using Counterfactual Methods. - Giovanni Bartolomeo, Mehdi Yosofie, Simon Bäurle, Oliver Haluszczynski, Nitinder Mohan, Jörg Ott:
Oakestra white paper: An Orchestrator for Edge Computing. - Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. - (Withdrawn) Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model.
- Tiziano Guadagnino, Luca Di Giammarino, Giorgio Grisetti:
HiPE: Hierarchical Initialization for Pose Graphs. - Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski:
LaTeRF: Label and Text Driven Object Radiance Fields. - Ioannis Caragiannis, Shivika Narang:
Repeatedly Matching Items to Agents Fairly and Efficiently. - Behrouz Zolfaghari, Abbas Yazdinejad, Ali Dehghantanha:
The Dichotomy of Cloud and IoT: Cloud-Assisted IoT From a Security Perspective. - Nuno Oliveira, Norberto Sousa, Isabel Praça:
Deep Learning for Short-term Instant Energy Consumption Forecasting in the Manufacturing Sector. - Diptish Dey, Debarati Bhaumik:
Inter-relational Model for understanding Chatbot acceptance across retail sectors. - Daan Gordijn, Roland Kromes, Thanassis Giannetsos, Kaitai Liang:
Combining ID's, Attributes, and Policies in Hyperledger Fabric. - Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Zhihao Liu, Song Wang:
CRFormer: A Cross-Region Transformer for Shadow Removal. - Yibo Jiang, Victor Veitch:
Invariant and Transportable Representations for Anti-Causal Domain Shifts. - Ilya Grishkov, Roland Kromes, Thanassis Giannetsos, Kaitai Liang:
ID-based self-encryption via Hyperledger Fabric based smart contract. - Benjamin Monmege, Julie Parreaux, Pierre-Alain Reynier:
Decidability of One-Clock Weighted Timed Games with Arbitrary Weights. - Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. - Weicai Ye, Xinyue Lan, Shuo Chen, Yuhang Ming, Xingyuan Yu, Hujun Bao, Zhaopeng Cui, Guofeng Zhang:
PVO: Panoptic Visual Odometry. - Debarati Bhaumik, Diptish Dey, Subhradeep Kayal:
A Framework for Auditing Multilevel Models using Explainability Methods. - Tian Tian, Kenny Young, Richard S. Sutton:
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions. - Rohit Jena, Lukas Zhornyak, Nehal Doiphode, Vivek Buch, James C. Gee, Jianbo Shi:
Beyond mAP: Re-evaluating and Improving Performance in Instance Segmentation with Semantic Sorting and Contrastive Flow. - Karl Krauth, Yixin Wang, Michael I. Jordan:
Breaking Feedback Loops in Recommender Systems with Causal Inference. - Kevin Qinghong Lin, Alex Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou:
Egocentric Video-Language Pretraining @ Ego4D Challenge 2022. - Stefan Lattner, Javier Nistal:
Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks. - Ramon Ruiz-Dolz:
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study. - Sibo Dong, Justin Goldstein, Grace Hui Yang:
GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval. - Ahmed Almehdhar, Mohanad Obeed, Anas Chaaban, Salam A. Zummo:
User Association in User-Centric Hybrid VLC/RF Cell-Free Massive MIMO Systems. - Xuke Hu, Zhiyong Zhou, Hao Li, Yingjie Hu, Fuqiang Gu, Jens Kersten, Hongchao Fan, Friederike Klan:
Location reference recognition from texts: A survey and comparison. - Aniketh Ramesh, Rustam Stolkin, Manolis Chiou:
Robot Vitals and Robot Health: Towards Systematically Quantifying Runtime Performance Degradation in Robots Under Adverse Conditions. - Baptiste Chopin, Hao Tang, Naima Otberdout, Mohamed Daoudi, Nicu Sebe:
Interaction Transformer for Human Reaction Generation. - Alina-Daniela Matei, Estefanía Talavera, Maya Aghaei:
Crime scene classification from skeletal trajectory analysis in surveillance settings. - Ioannis Koureas, Mohit Pundir, Shai Feldfogel, David S. Kammer:
Understanding the interface behavior and theoretical failure of beam-like topologically interlocked structures. - Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich:
Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management. - Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng:
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts. - Weiyu Sun, Xinyu Zhang, Ying Chen, Yun Ge, Chunyu Ji, Xiaolin Huang:
WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability. - Gustavo Amaral Costa dos Santos, Augusto Baffa, Jean-Pierre Briot, Bruno Feijó, António Luz Furtado:
An adaptive music generation architecture for games based on the deep learning Transformer mode. - Edward Kim, Tobias Andersen, Marventus, Justin Tabish, A. E., Pedro Borges, David Schmidt, Matthew Western:
Emergency Management and Recovery of Luna Classic. - Rebecca Moussa, Federica Sarro:
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation. - Raja Karmakar, Georges Kaddoum, Samiran Chattopadhyay:
Mobility Management in 5G and Beyond: A Novel Smart Handover with Adaptive Time-to-Trigger and Hysteresis Margin. - Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. - Brooke Stephenson, Laurent Besacier, Laurent Girin, Thomas Hueber:
BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model. - Philip N. Brown:
Providing slowdown information to improve selfish routing. - Naama Parush, Ohad Levinkron-Fisch, Hanan Shteingart, Amir Bar Sela, Amir Zilberman, Jake Klein:
A Causal Approach for Business Optimization: Application on an Online Marketplace. - Ayan Kumar Bhunia, Aneeshan Sain, Parth Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song:
Adaptive Fine-Grained Sketch-Based Image Retrieval. - Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. - Yan Zhang, Yuming Jiang, Songwei Fu:
Service Modeling and Delay Analysis of Packet Delivery over a Wireless Link. - Othón González-Chávez, Guillermo Ruiz, Daniela Moctezuma, Tania A. Ramirez-delReal:
Are metrics measuring what they should? An evaluation of image captioning task metrics. - Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Probing via Prompting. - Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard:
Sea: A lightweight data-placement library for Big Data scientific computing. - Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Xuting Liu:
Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate. - Mohammad Nur Nobi, Maanak Gupta, Lopamudra Praharaj, Mahmoud Abdelsalam, Ram Krishnan, Ravi S. Sandhu:
Machine Learning in Access Control: A Taxonomy and Survey. - Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Anomaly-aware multiple instance learning for rare anemia disorder classification. - Mai Elkady, Jim Lim, David I. Inouye:
Discrete Tree Flows via Tree-Structured Permutations. - Martin Braquet, Efstathios Bakolas:
Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical Shape. - Hariharan Subramonyam, Jane Im, Colleen M. Seifert, Eytan Adar:
Human-AI Guidelines in Practice: Leaky Abstractions as an Enabler in Collaborative Software Teams. - Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft:
Federated Split GANs. - Ziyue Liu, Xinling Yu, Zheng Zhang:
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing. - Matous Kulhan, Pavel Surynek:
Plan Execution for Multi-Agent Path Finding with Indoor Quadcopters. - Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Topic Community Based Temporal Expertise for Question Routing. - Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou:
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images. - Wenxu Shi, Lei Zhang, Weijie Chen, Shiliang Pu:
Universal Domain Adaptive Object Detector. - Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk:
GP22: A Car Styling Dataset for Automotive Designers. - Yaonan Jin, Pinyan Lu:
First Price Auction is 1 - 1/e2 Efficient. - Pan Du, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, Xiaohui Yan:
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN. - Jae Yong Lee, Juhi Jang, Hyung Ju Hwang:
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation. - Xucheng Wang, Dan Zeng, Qijun Zhao, Shuiwang Li:
Rank-Based Filter Pruning for Real-Time UAV Tracking. - Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes:
SESS: Saliency Enhancing with Scaling and Sliding. - Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. - (Withdrawn) Vision-and-Language Pretraining.
- Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren:
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games. - Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund:
Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. - Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. - Rufeng Zhang, Tao Kong, Weihao Wang, Xuan Han, Mingyu You:
3D Part Assembly Generation with Instance Encoded Transformer. - Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. - Yifan Feng, Yuxuan Tang:
On A Mallows-type Model For (Ranked) Choices. - Jun Wu, Jingrui He:
A Unified Meta-Learning Framework for Dynamic Transfer Learning. - Alessandro Stabile, Vladimir V. Yotov, Guglielmo S. Aglietti, Pasquale De Francesco, Guy Richardson:
Effect of boundary conditions on a high-performance isolation hexapod platform. - Dabao Wang, Hang Feng, Siwei Wu, Yajin Zhou, Lei Wu, Xingliang Yuan:
Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum. - Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam:
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. - Adnan Ali, Jinlong Li:
Features Based Adaptive Augmentation for Graph Contrastive Learning. - Jesse Haviland, Peter Corke:
Manipulator Differential Kinematics Part II: Acceleration and Advanced Applications. - Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia:
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch. - Jesse Haviland, Peter Corke:
Manipulator Differential Kinematics Part I: Kinematics, Velocity, and Applications. - Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia:
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution. - Zhi Chen, Yadan Luo, Sen Wang, Jingjing Li, Zi Huang:
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning. - Sanwar Alam, Mohammad N. Murshed:
Reduced-Order Model of the Russian Service Module via Loewner Framework. - Li Zhang, Yue Li, Huan Zhao, Qing Wang, Lei Xie:
Backend Ensemble for Speaker Verification and Spoofing Countermeasure. - Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao:
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification. - Xin Jin, Xinning Li, Hao Lou, Chenyu Fan, Qiang Deng, Chaoen Xiao, Shuai Cui, Amit Kumar Singh:
Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets. - Yadi Zhong, Ujjwal Guin:
Complexity Analysis of the SAT Attack on Logic Locking. - Yiren Wang, Fatima-tuz-Zahra, Rong Zablocki, Chongzhi Di, Marta M. Jankowska, John Bellettiere, Jordan A. Carlson, Andrea Z. LaCroix, Sheri J. Hartman, Dori E. Rosenberg, Jingjing Zou, Loki Natarajan:
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding. - Jeiyoon Park, Kiho Kwoun, Chanhee Lee, Heuiseok Lim:
Multimodal Frame-Scoring Transformer for Video Summarization. - Takaki Akiba, Youhi Morii, Kaoru Maruta:
Carleman linearization approach for chemical kinetics integration toward quantum computation. - Zhihao Yuan, Xu Yan, Zhuo Li, Xuhao Li, Yao Guo, Shuguang Cui, Zhen Li:
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases. - Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev, Henry Brodaty, Arcot Sowmya:
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery. - Bin Li, Yixuan Weng, Ziyu Ma, Bin Sun, Shutao Li:
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation. - Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin:
Learning Local Implicit Fourier Representation for Image Warping. - Yi Lei, Shan Yang, Jian Cong, Lei Xie, Dan Su:
Glow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion. - Yiqiu Wang, Rahul Yesantharao, Shangdi Yu, Laxman Dhulipala, Yan Gu, Julian Shun:
ParGeo: A Library for Parallel Computational Geometry. - Jingyi Guo, Min Zheng, Yajin Zhou, Haoyu Wang, Lei Wu, Xiapu Luo, Kui Ren:
iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps. - Sannat Singh Bhasin, Vaibhav Holani, Divij Sanjanwala:
What Do Graph Convolutional Neural Networks Learn? - Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara:
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. - Vinod S. Khandkar, Manjesh K. Hanawal, Sameer G. Kulkarni:
Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet. - Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. - Marwa Chafii, Lina Bariah, Sami Muhaidat, Mérouane Debbah:
Ten Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory. - Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind:
Efficient Representation Learning via Adaptive Context Pooling. - Shivansh Beohar, Andrew Melnik:
Planning with RL and episodic-memory behavioral priors. - Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami:
PoF: Post-Training of Feature Extractor for Improving Generalization. - Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter:
Meta-Learning a Real-Time Tabular AutoML Method For Small Data. - Pratik Mishra, Rekha Pitchumani, Yang-Suk Kee:
Learnings from an Under the Hood Analysis of an Object Storage Node IO Stack. - Qiang Niu, Hui Zhang, Youzhou Zhou:
Confluent Vandermonde with Arnoldi. - Zhonghua Sun, Xiaoqiang Wang, Cunsheng Ding:
Several Families of Irreducible Constacyclic and Cyclic Codes. - Jaeik Jeon, Yeonggul Jang, Youngtaek Hong, Hackjoon Shim, Sekeun Kim:
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification. - Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Distance Matters in Human-Object Interaction Detection. - Thomas Chatain, Neha Rino:
Timed Alignments. - Snehal Singh Tomar, A. N. Rajagopalan:
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images. - Asem Alaa, Erik Mayer, Mauricio Barahona:
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations. - Xiaoqiang Wang, Zhonghua Sun, Cunsheng Ding:
Two families of negacyclic BCH codes. - Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang:
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation. - Zewang Zhang, Yibin Zheng, Xinhui Li, Li Lu:
WeSinger 2: Fully Parallel Singing Voice Synthesis via Multi-Singer Conditional Adversarial Training. - Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer. - Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrovic, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang:
Keyword Extraction in Scientific Documents. - Valentin Pelloin, Franck Dary, Nicolas Hervé, Benoît Favre, Nathalie Camelin, Antoine Laurent, Laurent Besacier:
ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks. - Alex Kaltenbach, Marius Zeinhofer:
The Deep Ritz Method for Parametric p-Dirichlet Problems. - Torgeir Dingsøyr, Diane E. Strode, Yngve Lindsjørn:
Right Thoughts and Right Action: How to Make Agile Teamwork Effective. - Matti Henning, Michael Buchholz, Klaus Dietmayer:
Situation-Aware Environment Perception for Decentralized Automation Architectures. - André Artelt, Barbara Hammer:
"Even if ..." - Diverse Semifactual Explanations of Reject. - Matti Henning, Jan Strohbeck, Michael Buchholz, Klaus Dietmayer:
Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception. - Laida Kushnareva, Dmitri Piontkovski, Irina Piontkovskaya:
Betti numbers of attention graphs is all you really need. - Yukai Wang, Chunlei Peng, Decheng Liu, Nannan Wang, Xinbo Gao:
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario. - Seid H. Pourtakdoust, Amir H. Khodabakhsh:
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems. - Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi:
StyleFlow For Content-Fixed Image to Image Translation. - Luigi Fiorillo, Davide Pedroncelli, Valentina Agostini, Paolo Favaro, Francesca Dalia Faraci:
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. - Thomas Hickling, Abdelhafid Zenati, Nabil Aouf, Phillippa Spencer:
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications. - Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker:
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. - Avinash Kori, Ben Glocker, Francesca Toni:
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. - Vésteinn Snæbjarnarson, Hafsteinn Einarsson:
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic. - José Marcelo Fernandes, Jorge Sá Silva, André Rodrigues, Fernando Boavida, Rui Gaspar, Cristina Godinho, Rita Francisco:
Social Sensing and Human in the Loop Profiling during Pandemics: the Vitoria application. - Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao:
FishFormer: Annulus Slicing-based Transformer for Fisheye Rectification with Efficacy Domain Exploration. - Fredrik Svanström, Fernando Alonso-Fernandez, Cristofer Englund:
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities. - Maxime Herda, Antoine Zurek:
Study of a structure preserving finite volume scheme for a nonlocal cross-diffusion system. - Haoyun Li, Peiming Li, Jie Xu, Junting Chen, Yong Zeng:
Channel Knowledge Map (CKM)-Assisted Multi-UAV Wireless Network: CKM Construction and UAV Placement. - Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen:
Image Coding for Machines with Omnipotent Feature Learning. - Francisco Guillén-González, André Luiz Corrêa Vianna Filho:
Convergence of a time discrete scheme for a chemotaxis-consumption model. - Bjorge Meulemeester, David Martens:
How sustainable is "common" data science in terms of power consumption? - Miltiadis Marios Katsakioris, Yiwei Zhou, Daniele Masato:
Entity Linking in Tabular Data Needs the Right Attention. - Minjia Shi, Na Liu, Jon-Lark Kim, Patrick Solé:
Additive complementary dual codes over F4. - Zhucheng Tu, Sarguna Janani Padmanabhan:
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering. - Larissa Braz, Enrico Fregnan, Vivek Arora, Alberto Bacchelli:
An Exploratory Study on Regression Vulnerabilities. - Elnaz Shafaei-Bajestan, Peter Uhrig, R. Harald Baayen:
Making sense of spoken plurals. - Dominik Harmim, Vladimír Marcin, Lucie Svobodova, Tomás Vojnar:
Static Deadlock Detection in Low-Level C Code. - Zacharenia Garofalaki, Dimitrios Kosmanos, Sotiris Moschoyiannis, Dimitris Kallergis, Christos Douligeris:
Electric Vehicle Charging: a Survey on the Security Issues and Challenges of the Open Charge Point Protocol (OCPP). - Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Zhi Yang, Yadong Yan, Haitao Gan, Jing Zhao, Zhiwei Ye:
A Safe Semi-supervised Graph Convolution Network. - Abram Rodgers, Daniele Venturi:
Implicit step-truncation integration of nonlinear PDEs on low-rank tensor manifolds. - Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan:
Nash Welfare Guarantees for Fair and Efficient Coverage. - Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong:
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation. - Agus Gunawan, Xu Yin, Kang Zhang:
Understanding and Improving Group Normalization. - Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. - Jia Kan, Jie Zhang, Xin Huang:
Wider: Scale Out Blockchain With Sharding by Account. - Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
Defending against the Label-flipping Attack in Federated Learning. - Yikun Mei, Zhen Gao, De Mi, Michail Matthaiou, Pei Xiao, Robert Schober:
Massive Access in Extra Large-Scale MIMO with Mixed-ADC over Near Field Channels. - Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. - Yashvardhan Didwania, Jayakrishnan Nair, N. Hemachandra:
Unsupervised Crowdsourcing with Accuracy and Cost Guarantees. - Sebastian Szyller, N. Asokan:
Conflicting Interactions Among Protections Mechanisms for Machine Learning Models. - Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Local Multi-Label Explanations for Random Forest. - Robert van Wijk, Andrea Michelle Rios Lazcano, Xabier Carrera Akutain, Barys N. Shyrokau:
Data-driven Steering Torque Behaviour Modelling with Hidden Markov Models. - Enzo Tartaglione, Francesca Gennari, Marco Grangetto:
Disentangling private classes through regularization. - Mikhail Cherniavskii, Boris Goldengorin:
An almost linear time complexity algorithm for the Tool Loading Problem. - Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun:
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. - Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán, Eva Martínez:
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching. - Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis:
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring. - (Withdrawn) Multiview Detection with Cardboard Human Modeling.
- Adam D. Barwell, Alceste Scalas, Nobuko Yoshida, Fangyi Zhou:
Generalised Multiparty Session Types with Crash-Stop Failures (Technical Report). - Yuan Zhang, Jianhong Wang, Joschka Boedecker:
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. - Ashish Tiwari, Shanmuganathan Raman:
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images. - Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou:
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. - Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu:
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture. - Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend:
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations. - Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng:
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. - Jingjie Shang, Kunchang Li, Kaibin Tian, Haisheng Su, Yangguang Li:
MVP: Robust Multi-View Practice for Driving Action Localization. - Pablo F. Castro, Pedro R. D'Argenio, Luciano Putruele, Ramiro Demasi:
A Stochastic Game Approach to Masking Fault-Tolerance: Bisimulation and Quantification. - Hanaa Abbas, Roberto Di Pietro:
Sanitization of Visual Multimedia Content: A Survey of Techniques, Attacks, and Future Directions. - Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang:
A Two-Timescale Approach to Mobility Management for Multi-Cell Mobile Edge Computing. - Nicolas Matentzoglu, Damien Goutte-Gattat, Shawn Zheng Kai Tan, James P. Balhoff, Seth Carbon, Anita R. Caron, William D. Duncan, Joe E. Flack, Melissa A. Haendel, Nomi L. Harris, William R. Hogan, Charles Tapley Hoyt, Rebecca C. Jackson, Hyeongsik Kim, Hüseyin Kir, Martin Larralde, Julie A. McMurry, James A. Overton, Bjoern Peters, Clare Pilgrim, Raymund Stefancsik, Sofia M. C. Robb, Sabrina Toro, Nicole A. Vasilevsky, Ramona L. Walls, Christopher J. Mungall, David Osumi-Sutherland:
Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies. - Evripidis Bampis, Bruno Escoffier, Paul Youssef:
Online 2-stage Stable Matching. - Qingguo Hong, YounJu Lee, Jinchao Xu:
A sharp Korn's inequality for piecewise H1 space and its application. - Jiayang Ao, Krista A. Ehinger, Qiuhong Ke:
Image Amodal Completion: A Survey. - Tu Bui, Ning Yu, John P. Collomosse:
RepMix: Representation Mixing for Robust Attribution of Synthesized Images. - Agus Gunawan, Muhammad Adi Nugroho, Se Jin Park:
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning. - Francisco López, Lars Karlsson, Paolo Bientinesi:
FLOPs as a Discriminant for Dense Linear Algebra Algorithms. - Juan Pinto-Ríos, Felipe Calderón, Ariel Leiva, Gabriel Hermosilla, Alejandra Beghelli, Danilo Bórquez-Paredes, Astrid Lozada, Nicolás A. Jara, Ricardo Olivares, Gabriel Saavedra:
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach. - Stefan Frei, Alexander Heinlein:
Efficient coarse correction for parallel time-stepping in plaque growth simulations. - Javier Pérez, Manuel A. Vargas, Juan A. Cabrera, Juan J. Castillo, Barys N. Shyrokau:
Reward-modulated learning using spiking neural networks for vehicle lateral control. - Longkang Li, Baoyuan Wu:
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. - Weiming Hu, Qiang Wang, Li Zhang, Luca Bertinetto, Philip H. S. Torr:
SiamMask: A Framework for Fast Online Object Tracking and Segmentation. - Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. - Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi:
Predicting Out-of-Domain Generalization with Local Manifold Smoothness. - Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega:
Neural Networks and the Chomsky Hierarchy. - Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet:
An Empirical Study of Implicit Regularization in Deep Offline RL. - Keyuan Zhang, Jiayu Bai, Jialin Liu:
Generating Game Levels of Diverse Behaviour Engagement. - Zihao Song, Panos J. Antsaklis, Hai Lin:
Distributed Adaptive Backstepping Control for Vehicular Platoons with Mismatched Disturbances Under Vector String Stability. - Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman:
Data Integrity Error Localization in Networked Systems with Missing Data. - Rosanna Milner, Md Asif Jalal, Raymond W. M. Ng, Thomas Hain:
A cross-corpus study on speech emotion recognition. - Renu Solanki, Monisha Khanna, Shailly Anand, Anita Gulati, Prateek Kumar, Munendra Kumar, Dushyant Kumar:
EasyABM: a lightweight and easy to use heterogeneous agent-based modelling tool written in Julia. - Benjamin Marais, Tony Quertier, Stéphane Morucci:
Malware and Ransomware Detection Models. - Jesús Silva-Rodríguez, Xingpeng Li:
Centralized Networked Micro Water-Energy Nexus with Proportional Exchange Among Participants. - Patrick Sattler, Juliane Aulbach, Johannes Zirngibl, Georg Carle:
Towards a Tectonic Traffic Shift? Investigating Apple's New Relay Network. - Colin J. Cotter, Robert C. Kirby, Hunter Morris:
Weighted-norm preconditioners for a multi-layer tide model. - Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos:
An Intrusion Detection System based on Deep Belief Networks. - Yue Song, Nicu Sebe, Wei Wang:
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. - Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. - Gary Leung, Jun Gao, Xiaohui Zeng, Sanja Fidler:
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention. - Masahiro Suzuki, Yutaka Matsuo:
A survey of multimodal deep generative models. - Stephanie Weirich:
Implementing Dependent Types in pi-forall. - Eduardo Martínez-Enríquez, María del Mar González, Javier Portilla:
Deterministic Decoupling of Global Features and its Application to Data Analysis. - Ding Fang Yi Kuang, Li Yang:
Community Size and User Migration: Population Model Based on opinion Dynamics. - Manuel Cáceres, Massimo Cairo, Andreas Grigorjew, Shahbaz Khan, Brendan Mumey, Romeo Rizzi, Alexandru I. Tomescu, Lucia Williams:
Width Helps and Hinders Splitting Flows. - Renye Zhang, Yimin Yin, Wanxia Deng, Chen Li, Jinghua Zhang:
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend. - Hanbin Hong, Binghui Wang, Yuan Hong:
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. - Tong Wei, Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar:
Multi-IRS-Aided Doppler-Tolerant Wideband DFRC System. - Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. - Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet:
Multi-modal Robustness Analysis Against Language and Visual Perturbations. - Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeid Pashazadeh, Mohammad Asadpour:
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks. - Paolo Maramotti, Alessandro Paolo Capasso, Giulio Bacchiani, Alberto Broggi:
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning. - Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery. - Daniel Ferguson, François G. Meyer:
Probability density estimation for sets of large graphs with respect to spectral information using stochastic block models. - Karim Cherifi, Volker Mehrmann, Philipp Schulze:
Simulations in a Digital Twin of an Electrical Machine. - Jae Soon Baik, In Young Yoon, Jun Won Choi:
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition. - Huawei Lin, Haozhe Liu, Qiufu Li, Linlin Shen:
Activation Template Matching Loss for Explainable Face Recognition. - (Withdrawn) Many-fields Packet Classification Using R-Tree and Field Concatenation Technique.
- Jae Soon Baik, In Young Yoon, Jun Won Choi:
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning. - Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. - Lei Xiao, Salah Nouri, Joel Hegland, Alberto Garcia Garcia, Douglas Lanman:
NeuralPassthrough: Learned Real-Time View Synthesis for VR. - Jun-Kun Wang, Andre Wibisono:
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time. - Ch. Sobhan Babu, Ravindra Guravannavar:
CEN : Cooperatively Evolving Networks. - Guoxiang Grayson Tong, Daniele E. Schiavazzi:
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue. - Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng:
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling. - Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine:
Offline RL Policies Should be Trained to be Adaptive. - Jiadai Sun, Yuchao Dai, Xianjing Zhang, Jintao Xu, Rui Ai, Weihao Gu, Xieyuanli Chen:
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation. - Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma:
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers. - Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Recovering Sequential DeepFake Manipulation. - Rezvan Sherkati, James J. Clark:
Clustered Saliency Prediction. - Junyu Xie, Weidi Xie, Andrew Zisserman:
Segmenting Moving Objects via an Object-Centric Layered Representation. - Shlok Gilda, Tanvi Jain, Aashish Dhalla:
None Shall Pass: A blockchain-based federated identity management system. - Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu:
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. - Eyyub Can Odacioglu, Lihong Zhang, Richard Allmendinger:
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. - Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz:
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. - Justin Dulay, Sonia Poltoratski, Till S. Hartmann, Samuel E. Anthony, Walter J. Scheirer:
Guiding Machine Perception with Psychophysics. - Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. - Mona Fathollahi, Mohammad Hasan Sarhan, Ramon Pena, Lela DiMonte, Anshu Gupta, Aishani Ataliwala, Jocelyn Barker:
Video-based Surgical Skills Assessment using Long term Tool Tracking. - Lukas Schäfer, Filippos Christianos, Amos J. Storkey, Stefano V. Albrecht:
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning. - Qian Huang, Minghao Hu, David Jones Brady:
Array Camera Image Fusion using Physics-Aware Transformers. - Samee Ibraheem, Gaoyue Zhou, John DeNero:
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia. - Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. - Yohann Bacquey, Jean-Guy Mailly, Pavlos Moraitis, Julien Rossit:
Admissibility in Strength-based Argumentation: Complexity and Algorithms (Extended Version with Proofs). - Boyuan Zhang, Dong-Yeop Na, Dan Jiao, Weng Cho Chew:
An A-Phi Formulation Solver in Electromagnetics Based on Discrete Exterior Calculus. - Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. - Ali Siahkoohi, Michael Chinen, Tom Denton, W. Bastiaan Kleijn, Jan Skoglund:
Ultra-Low-Bitrate Speech Coding with Pretrained Transformers. - Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou:
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. - Mohammad Hossein Tabatabaei, Roman Vitenberg, Narasimha Raghavan Veeraragavan:
Understanding blockchain: definitions, architecture, design, and system comparison. - Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah:
Towards Realistic Semi-Supervised Learning. - Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick:
Pretraining on Interactions for Learning Grounded Affordance Representations. - Petros Papadopoulos, David W. Coit, Ahmed Aziz Ezzat:
STOCHOS: Stochastic Opportunistic Maintenance Scheduling For Offshore Wind Farms. - Yijing Ren, Vasilis Friderikos:
Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks. - Lorenzo Ciardo, Stanislav Zivný:
Hierarchies of Minion Tests for PCSPs through Tensors. - Asiegbu Miracle Kanu-Asiegbu, Ram Vasudevan, Xiaoxiao Du:
Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection. - Asiegbu Miracle Kanu-Asiegbu, Ram Vasudevan, Xiaoxiao Du:
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection. - Wonwoong Cho, Ziyu Gong, David I. Inouye:
Cooperative Distribution Alignment via JSD Upper Bound. - Hani Al-Sayeh, Muhammad Attahir Jibril, Bunjamin Memishi, Kai-Uwe Sattler:
Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications. - Yefim Shulman, Agnieszka Kitkowska, Joachim Meyer:
Informing Users: Effects of Notification Properties and User Characteristics on Sharing Attitudes. - Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. - Eddie Seabrook, Laurenz Wiskott:
A Tutorial on the Spectral Theory of Markov Chains. - Claudette Pretorius, David Coyle:
Using Self Determination Theory to Design to Support Young Peoples Online Help-Seeking. - Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner:
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. - Pritom Bose, Debolina Halder, Oliur Rahman, Turash Haque Pial:
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images. - Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang:
A Dataset on Malicious Paper Bidding in Peer Review. - Ayan Chakraborty, Cosmin Anitescu, Somdatta Goswami, Xiaoying Zhuang, Timon Rabczuk:
Variational energy based XPINNs for phase field analysis in brittle fracture. - Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris:
LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia. - David Coyle, Mark Matthews:
Personal Investigator: a Therapeutic 3D Game for Teenagers. - Tobias Eichinger, Marcel Ebermann:
Can We Effectively Use Smart Contracts to Stipulate Time Constraints? - Dillon J. Lohr, Saide Johnson, Samantha Aziz, Oleg Komogortsev:
Demonstrating Eye Movement Biometrics in Virtual Reality. - Haoyu Song:
Towards End-to-End Quality-of-Service by Domain-Level Routing and Forwarding. - Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Weakly Supervised Grounding for VQA in Vision-Language Transformers. - Manuel A. Rodríguez, Hasan Al-Marzouqi, Panos Liatsis:
Multi-Label Retinal Disease Classification using Transformers. - Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms. - Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne:
Rethinking the Importance of Sampling in Physics-informed Neural Networks. - Ron Kupfer, Noam Nisan:
Finding a Hidden Edge. - Huang Huang, Letian Fu, Michael Danielczuk, Chung Min Kim, Zachary Tam, Jeffrey Ichnowski, Anelia Angelova, Brian Ichter, Ken Goldberg:
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects. - Suriya Gunasekar:
Generalization to translation shifts: a study in architectures and augmentations. - Ahmad Nasrolahi, Vito Messina, Cristina Gena:
A Model and Tool for Community Engagement Case Study: Community Engagement in the Bisotun World Heritage Site. - Roland Meyer, Thomas Wies, Sebastian Wolff:
A Concurrent Program Logic with a Future and History. - Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone:
Zero-shot Cross-Linguistic Learning of Event Semantics. - Thu Nguyen-Phuoc, Feng Liu, Lei Xiao:
SNeRF: Stylized Neural Implicit Representations for 3D Scenes. - Charles E. Thornton, R. Michael Buehrer:
Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming. - Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. - Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi:
Unsupervised Learning for Human Sensing Using Radio Signals. - Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu:
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision. - Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu:
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching. - Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane E. Alty, Quan Bai:
A Comprehensive Review on Deep Supervision: Theories and Applications. - Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev, Henry Brodaty, Arcot Sowmya:
Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers. - Ichiro Hasuo, Clovis Eberhart, James Haydon, Jérémy Dubut, Rose Bohrer, Tsutomu Kobayashi, Sasinee Pruekprasert, Xiao-Yi Zhang, Erik André Pallas, Akihisa Yamada, Kohei Suenaga, Fuyuki Ishikawa, Kenji Kamijo, Yoshiyuki Shinya, Takamasa Suetomi:
Goal-Aware RSS for Complex Scenarios via Program Logic. - Ahmed Al Shafei, Hamidreza Zareipour, Yankai Cao:
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization. - Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. - Dan Wang, Jiayu Lin, Yuan-Gen Wang:
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling. - Yi Xie, Jonathan Macoskey, Martin Radfar, Feng-Ju Chang, Brian John King, Ariya Rastrow, Athanasios Mouchtaris, Grant P. Strimel:
Compute Cost Amortized Transformer for Streaming ASR. - Bo Zhang, Yue Liu, Kaixin Lu, Li Niu, Liqing Zhang:
Spatial Transformation for Image Composition via Correspondence Learning. - Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan S. Kankanhalli:
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection. - Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. - Difei Cheng, Bo Zhang:
Careful seeding for the k-medoids algorithm with incremental k++ cluster construction. - Feng Sun, Ming-Kun Xie, Sheng-Jun Huang:
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation. - Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. - Yansong Li, Kai Hu, Kohei Nakajima, Yongping Pan:
Composite FORCE learning of chaotic echo state networks for time-series prediction. - Javier A. Almonacid, Sebastián A. Domínguez-Rivera, Ryan N. Konno, Nilima Nigam, Stephanie A. Ross, Cassidy Tam, James M. Wakeling:
A three-dimensional model of skeletal muscle tissues. - Lantian Zhang, Lei Guo:
A Two-Step Quasi-Newton Identification Algorithm for Stochastic Systems with Saturated Observations. - Yaoyao Ding, Chenghao Wu, Yuntao Zou, Peng Zhou:
WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction. - Tianyu Zhao, Junping Du, Zhe Xue, Ang Li, Zeli Guan:
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa. - Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He:
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation. - Yifang Men, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie:
DCT-Net: Domain-Calibrated Translation for Portrait Stylization. - Ali Menati, Ki-Yeob Lee, Le Xie:
Modeling and Analysis of Utilizing Cryptocurrency Mining for Demand Flexibility in Electric Energy Systems: A Synthetic Texas Grid Case Study. - Shruti Vyas, Chen Chen, Mubarak Shah:
GAMa: Cross-view Video Geo-localization. - Shahin Yousefi, Mohsen Hooshmand, Mohsen Afsharchi:
EEPT: Early Discovery of Emerging Entities in Twitter with Semantic Similarity. - Ryan Hechenberger, Daniel Harabor, Muhammad Aamir Cheema, Peter J. Stuckey, Pierre Le Bodic:
Multi-Target Search in Euclidean Space with Ray Shooting (Full Version). - Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Zhijie Shen, Yao Zhao:
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation. - Valentin Dallerit, Mayya Tokman, Ilon Joseph:
Exponential integrators for non-linear diffusion. - Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets for Meta-Learning. - Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers are Adaptable Task Planners. - Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin:
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. - Zheng Wang, Shandian Zhe:
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition. - Naoya Fujita, Hiroshi Watanabe:
Information Compression and Performance Evaluation of Tic-Tac-Toe's Evaluation Function Using Singular Value Decomposition. - Bin Su, Shaoguang Mao, Frank K. Soong, Zhiyong Wu:
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives. - Mehdi Dehghan, Zeinab Gharibi, Ricardo Ruiz-Baier:
Optimal error estimates of coupled and divergence-free virtual element methods for the Poisson-Nernst-Planck/Navier-Stokes equations. - Przemyslaw K. Joniak, Akiko Aizawa:
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning. - Shengjie Wang, Yuxue Cao, Xiang Zheng, Tao Zhang:
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative Object. - Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan:
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. - Jinwei Lin:
Multi-area Target Individual Detection with Free Drawing on Video. - Jiazhen Lou, Hong Wen, Fuyu Lv, Jing Zhang, Tengfei Yuan, Zhao Li:
Re-weighting Negative Samples for Model-Agnostic Matching. - Andreas Karrenbauer, Leonie Krull, Kurt Mehlhorn, Pranabendu Misra, Paolo Luigi Rinaldi, Anna Twelsiek:
Improving Order with Queues. - Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick:
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. - Debajyoti Halder, Saksham Bhushan, Gundu Shreya, Prashant Kumar:
fybrrChat: A Distributed Chat Application for Secure P2P Messaging. - Rahul Saini, Debajyoti Halder, Anand M. Baswade:
RIDS : Real-time Intrusion Detection System for WPA3 enabled Enterprise Networks. - Fredrik Johansson:
Computing elementary functions using multi-prime argument reduction. - Kevin De Porre, Carla Ferreira, Elisa Gonzalez Boix:
VeriFx: Correct Replicated Data Types for the Masses. - Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin:
Two-stage Decision Improves Open-Set Panoptic Segmentation. - Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong:
Pure Transformers are Powerful Graph Learners. - Evangelos Bitsikas, Christina Pöpper:
You have been warned: Abusing 5G's Warning and Emergency Systems. - Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. - Su Young Kim, Hyeon-Jin Park, Kyuyong Shin, Kyung-Min Kim:
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3. - Margarita Capretto, Martín Ceresa, César Sánchez:
Transaction Monitoring of Smart Contracts. - Sam Spilsbury, Alexander Ilin:
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. - Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani:
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps. - David Rau, Jaap Kamps:
The Role of Complex NLP in Transformers for Text Ranking? - Sameh Othman, Johannes Schulz, Marco Baity-Jesi, Caterina De Bacco:
Modeling Node Exposure for Community Detection in Networks. - Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu:
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. - Boris Lublinsky, Elise Jennings, Viktória Spisaková:
A Kubernetes 'Bridge' operator between cloud and external resources. - Cristina Cano, Hug March:
5/6G: Networks of the Future or Defuturing Networks? - Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser:
Learning to Diversify for Product Question Generation. - Yang Li, Shixin Zhu:
On Arbitrary Dimension Hull Linear Codes from Self-Orthogonal Codes and Some New EAQECCs. - Samuel Cognolato, Alberto Testolin:
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation. - Qian Ye, Masanori Suganuma, Jun Xiao, Takayuki Okatani:
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging. - Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun:
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection. - Manuel Brenner, Florian Hess, Jonas M. Mikhaeil, Leonard F. Bereska, Zahra Monfared, Po-Chen Kuo, Daniel Durstewitz:
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems. - Stefanos Nikolopoulos, Ioannis Kalogeris, Vissarion Papadopoulos, George Stavroulakis:
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized linear systems of equations. - Theodore L. Chang, Chin-Long Lee:
New mixed formulation and mesh dependency of finite elements based on the consistent couple stress theory. - Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Simple and Efficient Heterogeneous Graph Neural Network. - Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef:
Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. - Praveen Kumar, Sudhan Majhi, Subhabrata Paul:
A Direct Construction of Cross Z-Complementary Sequence Sets with Large Set Size. - Rajen Kumar, Prashant Kumar Srivastava, Sudhan Majhi:
A Construction of Type-II ZCCS of Arbitrary Sequence Length with Low PMEPR. - Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun:
Deep Learning Approaches to Grasp Synthesis: A Review. - Xinying Ma, Zhi Chen, Chongwen Huang:
Nanoscale Reconfigurable Intelligent Surface Design and Performance Analysis for Terahertz Communications. - Xiangyang He, Yubo Tao, Shuoliu Yang, Haoran Dai, Hai Lin:
voxel2vec: A Natural Language Processing Approach to Learning Distributed Representations for Scientific Data. - Julien Moatti:
A structure preserving hybrid finite volume scheme for semi-conductor models with magnetic field on general meshes. - Hideo Bannai, Keisuke Goto, Masakazu Ishihata, Shunsuke Kanda, Dominik Köppl, Takaaki Nishimoto:
Computing NP-hard Repetitiveness Measures via MAX-SAT. - Daiki Nishioka, Takashi Tsuchiya, Wataru Namiki, Makoto Takayanagi, Masataka Imura, Yasuo Koide, Tohru Higuchi, Kazuya Terabe:
Edge-Of-Chaos Learning Achieved by Ion-Electron Coupled Dynamics in an Ion-Gating Reservoir. - Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch:
Is the U-Net Directional-Relationship Aware? - Andrew Wagenmaker, Kevin Jamieson:
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design. - Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. - Michael Kapralov, Akash Kumar, Silvio Lattanzi, Aida Mousavifar:
Learning Hierarchical Structure of Clusterable Graphs. - Yifan Lu, Ziqi Zhang, Yuxin Chen, Chunfeng Yuan, Bing Li, Weiming Hu:
PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning. - Idris Skloul Ibrahim, Benjamin Kenwright:
Smart Education: Higher Education Instruction and the Internet of Things (IoT). - Lyes Saad Saoud, Hasan Al-Marzouqi, Ramy Hussein:
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting. - Weiyu Zhang, Yiyang Ma, Di Zhu, Lei Dong, Yu Liu:
MetroGAN: Simulating Urban Morphology with Generative Adversarial Network. - Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin:
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling. - Shaull Almagor, Shai Guendelman:
Concurrent Games with Multiple Topologies. - Xinying Ma, Zhi Chen, Chongwen Huang, Deyou Zhang, Ming Xiao:
Beam Selection for RIS-Enabled Terahertz Multi-User MIMO Systems via Multi-Task Learning. - Damien Teney, Maxime Peyrard, Ehsan Abbasnejad:
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning. - Xiaohong Zhang, Nan Sheng, Rajab Ali Borzooei:
Partial Residuated Implications Derived from Partial Triangular Norms and Partial Residuated Lattices. - Haibo Qiu, Baosheng Yu, Dacheng Tao:
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation. - Matej Grcic, Petra Bevandic, Sinisa Segvic:
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition. - Georg Anegg, Laura Vargas Koch, Rico Zenklusen:
Techniques for Generalized Colorful k-Center Problems. - Rodothea-Myrsini Tsoupidi, Roberto Castañeda Lozano, Elena Troubitsyna, Panagiotis Papadimitratos:
Securing Optimized Code Against Power Side Channels. - Adam Zdunek, Michael Neunteufel, Waldemar Rachowicz:
On pressure robustness and independent determination of displacement and pressure in incompressible linear elasticity. - Jeff Denis, Alex Lecavalier, Jean-Sébastien Plante, Alexandre Girard:
Multimodal Hydrostatic Actuators for Wearable Robots: A Preliminary Assessment of Mass-Saving and Energy-Efficiency Opportunities. - Jiahui Zhang, Fangneng Zhan, Rongliang Wu, Yingchen Yu, Wenqing Zhang, Song Bai, Xiaoqin Zhang, Shijian Lu:
VMRF: View Matching Neural Radiance Fields. - Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. - Zhennan Wang, Kehan Li, Runyi Yu, Yian Zhao, Pengchong Qiao, Guoli Song, Fan Xu, Jie Chen:
Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization. - Ermanno Pietrosemoli, Marco Rainone, Marco Zennaro, Chomora Mikeka:
Massive RF Simulation Applied to School Connectivity in Malawi. - Kan Wang, Changxing Ding, Jianxin Pang, Xiangmin Xu:
Context Sensing Attention Network for Video-based Person Re-identification. - Yuanzhi Duan, Xiaofang Hu, Yue Zhou, Peng He, Qiang Liu, Shukai Duan:
Network Pruning via Feature Shift Minimization. - S. Akshay, Paul Gastin, R. Govind, B. Srivathsan:
Simulations for Event-Clock Automata. - Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael J. Wooldridge:
On the Complexity of Rational Verification. - Lu Yu, Verena Rieser:
Adversarial Robustness of Visual Dialog. - Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki:
Reforming an Envy-Free Matching. - Aleksandr V. Petrov, Craig Macdonald:
Effective and Efficient Training for Sequential Recommendation using Recency Sampling. - Zhimin Wang, Yuxin Zhao, Feng Lu:
Gaze-Vergence-Controlled See-Through Vision in Augmented Reality. - Xinying Ma, Deyou Zhang, Ming Xiao, Chongwen Huang, Zhi Chen:
Cooperative Beamforming for RIS-Aided Cell-Free Massive MIMO Networks. - Zhijian Ou, Junlan Feng, Juanzi Li, Yakun Li, Hong Liu, Hao Peng, Yi Huang, Jiangjiang Zhao:
A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems. - Ioannis T. Christou, Evgenia Vagianou, George Vardoulias:
Planning Courses for Student Success at the American College of Greece. - Shuhao Zeng, Hongliang Zhang, Boya Di, Haichao Qin, Xin Su, Lingyang Song:
Reconfigurable Refractive Surfaces: An Energy-Efficient Way to Holographic MIMO. - Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Pascale Fung:
Kaggle Competition: Cantonese Audio-Visual Speech Recognition for In-car Commands. - Ozan Heydt, Simeon Kublenz, Patrice Ossona de Mendez, Sebastian Siebertz, Alexandre Vigny:
Distributed domination on sparse graph classes. - Jeff Denis, Jean-Sébastien Plante, Alexandre Girard:
Low-Level Force-Control of MR-Hydrostatic Actuators. - Huiyu Duan, Guangtao Zhai, Xiongkuo Min, Yucheng Zhu, Yi Fang, Xiaokang Yang:
Perceptual Quality Assessment of Omnidirectional Images. - Minghang Zheng, Dejie Yang, Zhongjie Ye, Ting Lei, Yuxin Peng, Yang Liu:
Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report. - Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao:
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. - Petr Jancar, Jérôme Leroux:
Semilinear Home-space is Decidable for Petri Nets. - Ryuichi Ito, Seng Pei Liew, Tsubasa Takahashi, Yuya Sasaki, Makoto Onizuka:
Scaling Private Deep Learning with Low-Rank and Sparse Gradients. - Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor:
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections. - Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng:
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. - Xiao Tang, Xunqiang Lan, Lixin Li, Yan Zhang, Zhu Han:
Incentivizing Proof-of-Stake Blockchain for Secured Data Collection in UAV-Assisted IoT: A Multi-Agent Reinforcement Learning Approach. - Chintan Patel, Nishant Doshi:
LDA-2IoT : A Level Dependent Authentication using Two Factor for IoT Paradigm. - Deepal Tennakoon, Vincent Gramoli:
SocChain: Blockchain with Swift Proportional Governance for Bribery Mitigation. - Niklas Kochdumper, Christian Schilling, Matthias Althoff, Stanley Bak:
Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes. - Jakub Pomykala, Francisco de Lemos, Isibor Kennedy Ihianle, David Ada Adama, Pedro Machado:
Deep Learning approach for Classifying Trusses and Runners of Strawberries. - Johan Broberg, Maria Bånkestad, Erik Ylipää:
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction. - Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski:
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. - Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. - Chelsea Edmonds, Lawrence C. Paulson:
Formalising Fisher's Inequality: Formal Linear Algebraic Proof Techniques in Combinatorics. - Finlay McKinnon, David Ada Adama, Pedro Machado, Isibor Kennedy Ihianle:
Real-Time Gesture Recognition with Virtual Glove Markers. - Kevin Schäfers, Andreas Bartel, Michael Günther, Christoph Hachtel:
Spline-oriented inter/extrapolation-based multirate schemes of higher order. - Teng Guo, Siwei Feng, Jingjin Yu:
Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination. - Xiaozhe "Arcadia" Zhang, Brian C. Keegan:
Characterizing disruptions in online gaming behavior following software patches. - Hsin-Han Tsai, Ta-Wei Yang, Wai-Man Wong, Cheng-Fu Chou:
A Hybrid Approach for Binary Classification of Imbalanced Data. - Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni:
Robust Counterfactual Explanations for Tree-Based Ensembles. - Jeffrey Helt, Abhinav Sharma, Daniel J. Abadi, Wyatt Lloyd, Jose M. Faleiro:
C5: Cloned Concurrency Control that Always Keeps Up. - Henry X. Liu, Shuo Feng:
"Curse of rarity" for autonomous vehicles. - Yifan Wang, Pengzhan Jin, Hehu Xie:
Tensor Neural Network and Its Numerical Integration. - Zihang Lin, Chaolei Tan, Jian-Fang Hu, Zhi Jin, Tiancai Ye, Wei-Shi Zheng:
STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding. - Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach:
Graph Trees with Attention. - Sara Cooper, Francesco Ferro:
Lessons Learnt from Deploying ARI in Residential Care. - Xin Cao:
BFE and AdaBFE: A New Approach in Learning Rate Automation for Stochastic Optimization. - Cory E. Merkel:
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information. - Pouria Sarhadi, Wasif Naeem, Nikolaos Athanasopoulos:
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning. - Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. - Audrey Cui, Ali Jahanian, Àgata Lapedriza, Antonio Torralba, Shahin Mahdizadehaghdam, Rohit Kumar, David Bau:
Local Relighting of Real Scenes. - Andrea Mannocci, Ornella Irrera, Paolo Manghi:
Open Science and Authorship of Supplementary Material. Evidence from a Research Community. - Abdullah Al Maruf, Alexander Bakhtin, Tomás Cerný, Davide Taibi:
Using Microservice Telemetry Data for System Dynamic Analysis. - Mallesham Dasari, Ramanujan K. Sheshadri, Karthikeyan Sundaresan, Samir R. Das:
RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion. - Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Guha Thakurta, Nisheeth K. Vishnoi:
Private Matrix Approximation and Geometry of Unitary Orbits. - Wenjie Li, Juncheng Li, Guangwei Gao, Jiantao Zhou, Jian Yang, Guo-Jun Qi:
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution. - Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
A multi-task network approach for calculating discrimination-free insurance prices. - Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang:
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. - Jiazhi Guan, Hang Zhou, Zhibin Hong, Errui Ding, Jingdong Wang, Chengbin Quan, Youjian Zhao:
Delving into Sequential Patches for Deepfake Detection. - Ivan Shugurov, Sergey Zakharov, Slobodan Ilic:
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation. - Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic:
Multi-View Object Pose Refinement With Differentiable Renderer. - Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jiahui Zhang, Shijian Lu, Miaomiao Cui, Xuansong Xie, Xian-Sheng Hua, Chunyan Miao:
Towards Counterfactual Image Manipulation via CLIP. - Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
mu-synthesis-based Generalized Robust Framework for Grid-following and Grid-forming Inverters. - Ira Fesefeldt, Joost-Pieter Katoen, Thomas Noll:
Towards Concurrent Quantitative Separation Logic. - Marko Culjak, Andreas Spitz, Robert West, Akhil Arora:
Strong Heuristics for Named Entity Linking. - Adam Pacheck, Hadas Kress-Gazit:
Physically-Feasible Repair of Reactive, Linear Temporal Logic-based, High-Level Tasks. - Zongchen Chen, Nitya Mani, Ankur Moitra:
From algorithms to connectivity and back: finding a giant component in random k-SAT. - Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry:
When does Bias Transfer in Transfer Learning? - Osher Azulay, Inbar Ben-David, Avishai Sintov:
Learning Haptic-based Object Pose Estimation for In-hand Manipulation with Underactuated Robotic Hands. - Farnoush Zohourian, Jan Siegemund, Mirko Meuter, Josef Pauli:
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models. - Jeremy Straub:
Automating the Design and Development of Gradient Descent Trained Expert System Networks. - Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph. - Alan Chan:
Scoring Rules for Performative Binary Prediction. - Joan Giner-Miguelez, Abel Gómez, Jordi Cabot:
A domain-specific language for describing machine learning datasets. - Sang Keun Choe, Willie Neiswanger, Pengtao Xie, Eric P. Xing:
Betty: An Automatic Differentiation Library for Multilevel Optimization. - Pablo Villalobos, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Anson Ho, Marius Hobbhahn:
Machine Learning Model Sizes and the Parameter Gap. - Ken Miyajima, Yuki Noguchi, Takayuki Yamada:
Optimal design of compliant displacement magnification mechanisms using stress-constrained topology optimization based on effective energy. - Azarakhsh Keipour:
Physical Interaction and Manipulation of the Environment using Aerial Robots. - Svetlana Boyarchenko, Sergei Levendorskii:
Efficient inverse Z-transform and pricing barrier and lookback options with discrete monitoring. - Oscar Castro, Ely Repiso, Anais Garrell, Alberto Sanfeliu:
Humans Social Relationship Classification during Accompaniment. - Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G. Patel, Cheng Chi, Chi-Guhn Lee:
Don't overfit the history - Recursive time series data augmentation. - Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
Are Updatable Learned Indexes Ready? - Xiaoye Jing, Fan Liu, Christos Masouros, Yong Zeng:
ISAC from the Sky: UAV Trajectory Design for Joint Communication and Target Localization. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Ant Hill Colonization optimization algorithm(AHCOA) for controlling the side lobe of a uniform linear array. - Can Chen, Yang-Yu Liu:
A Survey on Hyperlink Prediction. - Falaah Arif Khan, Eleni Manis, Julia Stoyanovich:
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines. - Zachary Dair, Samantha Dockray, Ruairi O'Reilly:
Variance in Classifying Affective State via Electrocardiogram and Photoplethysmography. - Sridhar Mahadevan:
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property. - (Withdrawn) Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning.
- Keyi Li, Sen Yang, Travis M. Sullivan, Randall S. Burd, Ivan Marsic:
Exploring Runtime Decision Support for Trauma Resuscitation. - Zhongqiang Ren, Akshaya Kesarimangalam Srinivasan, Howard Coffin, Ian Abraham, Howie Choset:
A Local Optimization Framework for Multi-Objective Ergodic Search. - (Withdrawn) Minimizing Age of Incorrect Information in the Presence of Timeout.
- Dogacan Yilmaz, I. Esra Büyüktahtakin:
Learning Optimal Solutions via an LSTM-Optimization Framework. - Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen:
Boosting the interpretability of clinical risk scores with intervention predictions. - Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. - Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaria, Pablo Martínez, Ulises Cortés:
The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins. - Arpit Babbar, Sudarshan Kumar Kenettinkara, Praveen Chandrashekar:
Lax-Wendroff flux reconstruction method for hyperbolic conservation laws. - Laura Bozzelli, Adriano Peron, César Sánchez:
Expressiveness and Decidability of Temporal Logics for Asynchronous Hyperproperties. - Shiqi Zhao, Peng Yin, Ge Yi, Sebastian A. Scherer:
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor. - Ninad Khargonkar, Neil Song, Zesheng Xu, Balakrishnan Prabhakaran, Yu Xiang:
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. - Benjamin Charles Germain Lee:
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage. - Adam Van Etten:
The Weaknesses of Adversarial Camouflage in Overhead Imagery. - Xuyang Yan, Shabnam Nazmi, Biniam Gebru, Mohd Anwar, Abdollah Homaifar, Mrinmoy Sarkar, Kishor Datta Gupta:
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration. - Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan:
Network Binarization via Contrastive Learning. - Yifan Peng, Siddharth Dalmia, Ian R. Lane, Shinji Watanabe:
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. - Avi Ziskind, Sujeong Kim, Giedrius T. Burachas:
Learning Invariant World State Representations with Predictive Coding. - Tomás Cerný, Amr S. Abdelfattah, Vincent Bushong, Abdullah Al Maruf, Davide Taibi:
Microvision: Static analysis-based approach to visualizing microservices in augmented reality. - Matthias Springstein, Stefanie Schneider, Christian Althaus, Ralph Ewerth:
Semi-supervised Human Pose Estimation in Art-historical Images. - Aidan T. Evans, Jorge Blanco:
Extending Logical Neural Networks using First-Order Theories. - Gennady Voronov, Rose Lightheart, Joe Davison, Christoph A. Krettler, David Healey, Thomas Butler:
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data. - Aviad Etzion, Itzik Klein:
MoRPI: Mobile Robot Pure Inertial Navigation. - Tomás Cerný, Amr S. Abdelfattah, Vincent Bushong, Abdullah Al Maruf, Davide Taibi:
Microservice Architecture Reconstruction and Visualization Techniques: A Review. - Anway De, Thong Vo, Matthew Wright:
Value-Offset Bifiltrations for Digital Images. - Yuan Gao, Siman Yang:
Some results on locally repairable codes with minimum distance 7 and locality 2. - Nada Sahlab, Nasser Jazdi, Michael Weyrich:
An Overview on Designs and Applications of Context-Aware Automation Systems. - Frederic Gmeiner, Kenneth Holstein, Nikolas Martelaro:
Team Learning as a Lens for Designing Human-AI Co-Creative Systems. - Hantao Cui:
Impact of Internal Algebraic Variable Treatment on Transient Stability Simulation Performance. - Ling Li, Ali Shafiee Ardestani, Joseph Hassoun:
MaiT: Leverage Attention Masks for More Efficient Image Transformers. - Shailesh Chaudhari, HyukJoon Kwon:
Machine Learning based Interference Whitening in 5G NR MIMO Receiver. - Riccardo Doyle:
Model Agnostic Conformal Hyperparameter Optimization. - David Bensaïd, Amit Bracha, Ron Kimmel:
Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra. - Nicolas Pröllochs, Stefan Feuerriegel:
Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? - Mehak Maniktala, Min Chi, Tiffany Barnes:
Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance. - Qi Zhao, Wenjing Liu, Qizhi Fang, Qingqin Nong:
Constrained Heterogeneous Two-facility Location Games with Max-variant Cost. - Ruihong Wang, Jianguo Wang, Stratos Idreos, M. Tamer Özsu, Walid G. Aref:
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation. - Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan:
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning. - Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. - Durmus Alp Emre Acar, Venkatesh Saligrama:
FedHeN: Federated Learning in Heterogeneous Networks. - Lu Gan, Jessy W. Grizzle, Ryan M. Eustice, Maani Ghaffari:
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning. - Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo:
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. - Tracy Qian, Andy Xie, Camille Bruckmann:
Sensitivity Analysis on Transferred Neural Architectures of BERT and GPT-2 for Financial Sentiment Analysis. - Xin Gu, Hanhua Ye, Guang Chen, Yufei Wang, Libo Zhang, Longyin Wen:
Dual-Stream Transformer for Generic Event Boundary Captioning. - Bo-Kai Ruan, Hong-Han Shuai, Wen-Huang Cheng:
Vision Transformers: State of the Art and Research Challenges. - Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem, Yalin E. Sagduyu, Ender Ayanoglu:
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning. - Qian Ye, Masanori Suganuma, Takayuki Okatani:
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation. - Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe:
AV-Gaze: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-Profilic Faces. - Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles:
Search versus Search for Collapsing Electoral Control Types. - Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin:
A Large Scale Search Dataset for Unbiased Learning to Rank. - Yuan Fang, Yi Huang, Chuan Ma, Yinghao Jin, Gaoyuan Cheng, Guanlin Wu, Jie Xu:
Energy-Efficient Transmit Beamforming and Antenna Selection with Non-Linear PA Efficiency. - Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao:
Deep Rotation Correction without Angle Prior. - Yiqin Zhao, Sheng Wei, Tian Guo:
Privacy-preserving Reflection Rendering for Augmented Reality. - Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma:
Multi-Label Learning to Rank through Multi-Objective Optimization. - Johnson Kuan, Jonas Mueller:
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines. - Matthew Connor, Othon Michail:
Centralised Connectivity-Preserving Transformations by Rotation: 3 Musketeers for all Orthogonal Convex Shapes. - Tianwen Zhang, Xiaoling Zhang, Zhenyu Yang, Xu Zhan, Jinyu Bao:
Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement. - Zhan Chen, Hong Liu, Tianyu Guo, Zhengyan Chen, Pinhao Song, Hao Tang:
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition. - Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Recommendation via Meta Controller. - Xue Jiang, Xiulian Peng, Huaying Xue, Yuan Zhang, Yan Lu:
Cross-Scale Vector Quantization for Scalable Neural Speech Coding. - Koji Nakano, Daisuke Takafuji, Yasuaki Ito, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori:
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs. - Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk:
Deep energy method in topology optimization applications. - Yue Cao, Xiaojiang Zhou, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen:
Contrastive Information Transfer for Pre-Ranking Systems. - Wei Sun, Lili Qiu:
Visual-Assisted Sound Source Depth Estimation in the Wild. - Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. - Jamie Tucker-Foltz, Richard Zeckhauser:
Playing Divide-and-Choose Given Uncertain Preferences. - Ukcheol Shin, Kyunghyun Lee, In So Kweon:
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning. - Ali Mottaghi, Aidean Sharghi, Serena Yeung, Omid Mohareri:
Adaptation of Surgical Activity Recognition Models Across Operating Rooms. - Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani:
Pre-training helps Bayesian optimization too. - Akira Matsui, Emilio Ferrara:
Word Embedding for Social Sciences: An Interdisciplinary Survey. - Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao:
Attention Round for Post-Training Quantization. - Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes:
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. - Nie Lin, Minjie Cai:
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report. - Zhi Xu, Hongbo Zhu, Hua Chen, Wei Zhang:
Polytopic Planar Region Characterization of Rough Terrains for Legged Locomotion. - Alistair Moffat:
Batch Evaluation Metrics in Information Retrieval: Measures, Scales, and Meaning. - Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu:
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. - Lucas Baudin, Rida Laraki:
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions. - Peeyush Singh:
A priori error estimation for elasto-hydrodynamic lubrication using interior-exterior penalty approach. - Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang:
Masked Surfel Prediction for Self-Supervised Point Cloud Learning. - Abir Sen, Tapas Kumar Mishra, Ratnakar Dash:
Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN. - Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung:
An Additive Instance-Wise Approach to Multi-class Model Interpretation. - Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic:
Equivariant Representation Learning via Class-Pose Decomposition. - Padraig Davidson, Michael Steininger, André Huhn, Anna Krause, Andreas Hotho:
Semi-unsupervised Learning for Time Series Classification. - Andrea Mannocci, Ornella Irrera, Paolo Manghi:
Will open science change authorship for good? Towards a quantitative analysis. - Zhifeng Wang, Wenxing Yan, Chunyan Zeng, Shi Dong:
A unified interpretable intelligent learning diagnosis framework for smart education. - I Made Aswin Nahrendra, Christian Tirtawardhana, Byeongho Yu, Eungchang Mason Lee, Hyun Myung:
Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones. - Ruisi He, Bo Ai, Zhangdui Zhong, Mi Yang, Ruifeng Chen, Jianwen Ding, Zhangfeng Ma, Guiqi Sun, Changzhu Liu:
5G for Railways: the Next Generation Railway Dedicated Communications. - Qijian Zhang, Junhui Hou, Yue Qian:
Multi-View Vision-to-Geometry Knowledge Transfer for 3D Point Cloud Shape Analysis. - Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia:
Style Interleaved Learning for Generalizable Person Re-identification. - Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka:
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions. - Quentin Brabant, Lina Maria Rojas-Barahona, Claire Gardent:
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering. - Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume:
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks. - Pyae Sone Aung, Yu Min Park, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach. - Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. - Zixuan Huang, Beixiong Zheng, Rui Zhang:
Roadside IRS-Aided Vehicular Communication: Efficient Channel Estimation and Low-Complexity Beamforming Design. - Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. - Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu:
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. - Hao Chen:
Star Product PIR Schemes with Colluding Servers over Small Fields. - Eric Simonnet, Mickaël D. Chekroun:
Deep spectral computations in linear and nonlinear diffusion problems. - Kinga Skorupska, Radoslaw Nielek, Wieslaw Kopec:
AFFORCE: Actionable Framework for Designing Crowdsourcing Experiences for Older Adults. - Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato:
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. - Anthony DiGiovanni, Nicolas Macé, Jesse Clifton:
Evolutionary Stability of Other-Regarding Preferences Under Complexity Costs. - Ijeoma Amuche Chikwendu, Kulevome Delanyo Kwame Bensah, Chiagoziem Chima Ukwuoma, Chukwuebuka Joseph Ejiyi:
A Distributed Diffusion Kalman Filter In Multitask Networks. - Kinga Skorupska, Anna Jaskulska, Rafal Maslyk, Julia Paluch, Radoslaw Nielek, Wieslaw Kopec:
Older Adults' Motivation and Engagement with Diverse Crowdsourcing Citizen Science Tasks. - Jiashuo Yu, Junfu Pu, Ying Cheng, Rui Feng, Ying Shan:
Self-Supervised Learning of Music-Dance Representation through Explicit-Implicit Rhythm Synchronization. - Luca Bertaccini, Gianna Paulin, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores. - Chun Yang, Shicai Fan:
SPR: Supervised Personalized Ranking Based on Prior Knowledge for Recommendation. - Stefano Dafarra, Giulio Romualdi, Daniele Pucci:
Dynamic Complementarity Conditions and Whole-Body Trajectory Optimization for Humanoid Robot Locomotion. - Jill-Jênn Vie, Tomas Rigaux, Sein Minn:
Privacy-Preserving Synthetic Educational Data Generation. - Sinisa Stekovic, Mahdi Rad, Alireza Moradi, Friedrich Fraundorfer, Vincent Lepetit:
MCTS with Refinement for Proposals Selection Games in Scene Understanding. - Ziyi Xi, Hao Lin, Weiqi Luo:
Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool. - Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. - Sean E. Lake, Chao-Wei Tsai:
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects. - Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko:
Revisiting Pretraining Objectives for Tabular Deep Learning. - Sebastian Stock, Atif Mashkoor, Alexander Egyed:
Application of Validation Obligations to Security Concerns. - Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew:
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios. - Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, Takashi Tsuchiya, Tohru Higuchi, Kazuya Terabe:
Experimental Demonstration of High-Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multi-Detection. - Wieslaw Kopec, Cezary Biele, Monika Kornacka, Grzegorz Pochwatko, Anna Jaskulska, Kinga Skorupska, Julia Paluch, Piotr Gago, Barbara Karpowicz, Marcin Niewinski, Rafal Maslyk:
Participatory Design Landscape for the Human-Machine Collaboration, Interaction and Automation at the Frontiers of HCI (PDL 2021). - Yoshihiko Susuki, Kohei Eto, Naoto Hiramatsu, Atsushi Ishigame:
Control of Oscillatory Temperature Field in a Building via Damping Assignment to Nonlinear Koopman Mode. - Markus Haug, Ana Cristina Franco da Silva, Stefan Wagner:
Towards Immediate Feedback for Security Relevant Code in Development Environments. - Ambrish Rawat, James Requeima, Wessel P. Bruinsma, Richard E. Turner:
Challenges and Pitfalls of Bayesian Unlearning. - Lusine Abrahamyan, Nikos Deligiannis:
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation. - Andrey E. Polyakov, Denis V. Efimov, Xubin Ping:
Consistent discretization of finite/fixed-time controllers. - Quentin Brabant, Gwénolé Lecorvé, Lina Maria Rojas-Barahona:
CoQAR: Question Rewriting on CoQA. - Andrea Corsini, Simone Calderara, Mauro Dell'Amico:
Learning the Quality of Machine Permutations in Job Shop Scheduling. - Virendra Sule:
Local Inversion of maps: Black box Cryptanalysis. - Atish Dixit, Ahmed H. Elsheikh:
Robust optimal well control using an adaptive multi-grid reinforcement learning framework. - Tusarkanta Dalai, Tapas Kumar Mishra, Pankaj Kumar Sa:
Part-of-Speech Tagging of Odia Language Using statistical and Deep Learning-Based Approaches. - Fabian Hart, Ostap Okhrin, Martin Treiber:
Vessel-following model for inland waterways based on deep reinforcement learning. - María Carmona, Rafael Casado, Aurelio Bermúdez, Miguel Pérez-Francisco, Pablo Boronat, Carlos T. Calafate:
Fuel savings through missed approach maneuvers based on aircraft reinjection. - Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh:
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. - Kasper Green Larsen:
Fast Discrepancy Minimization with Hereditary Guarantees. - Marco Angelini, Silvia Bonomi, Alessandro Palma:
A Methodology to Support Automatic Cyber Risk Assessment Review. - Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, David Emukpere:
gym-DSSAT: a crop model turned into a Reinforcement Learning environment. - Kaizhe Zhang:
New perspectives on transient stability between grid-following and grid-forming VSCs. - Nada Almalki, Othon Michail:
On Geometric Shape Construction via Growth Operations. - Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness. - Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang:
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR. - Yunjie Gu, Yitong Li:
Do We Really Need Inertia? - Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po:
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration. - Manzoor Ahmed, Zain Ali, Wali Ullah Khan, Omer Waqar, Muhammad Asif, Abd Ullah Khan, Muhammad Awais Javed, Fahd N. Al-Wesabi:
Cooperative Backscatter NOMA with Imperfect SIC: Towards Energy Efficient Sum Rate Maximization in Sustainable 6G Networks. - Juan Pablo Bascur, Suzan Verberne, Nees Jan van Eck, Ludo Waltman:
Academic information retrieval using citation clusters: In-depth evaluation based on systematic reviews. - Bin Ji, Shasha Li, Jie Yu, Jun Ma, Huijun Liu:
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition. - Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen:
Barriers for Faster Dimensionality Reduction. - Tsegaye Misikir Tashu, Sara Fattouh, Péter Kiss, Tomás Horváth:
Multimodal E-Commerce Product Classification Using Hierarchical Fusion. - Enes Yigitbas, Sebastian Krois, Timo Renzelmann, Gregor Engels:
Technical Report: Comparative Evaluation of AR-based, VR-based, and Traditional Basic Life Support Training. - Antonio Alvarez Valdivia, Soheil Habibian, Carly A. Mendenhall, Francesco Fuentes, Ritish Shailly, Dylan P. Losey, Laura H. Blumenschein:
Wrapping Haptic Displays Around Robot Arms to Communicate Learning. - Sofiane Ouaari, Tsegaye Misikir Tashu, Tomás Horváth:
Multimodal Feature Extraction for Memes Sentiment Classification. - Joonwon Choi, Sooyung Byeon, Inseok Hwang:
State Prediction of Human-in-the-Loop Multi-rotor System with Stochastic Human Behavior Model. - Gregory Scafarto, Nicolas Posocco, Antoine Bonnefoy:
Calibrate to Interpret. - Jia-Cheng Hu:
ExpansionNet: exploring the sequence length bottleneck in the Transformer for Image Captioning. - Zhenyi Yuan, Changhong Zhao, Jorge Cortés:
Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees. - Isac M. Lacerda, Eber A. Schmitz, Jayme Luiz Szwarcfiter, Rosiane de Freitas:
Empirical Evaluation of Project Scheduling Algorithms for Maximization of the Net Present Value. - Haileleol Tibebu, Aadin Malik, Varuna De Silva:
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks. - Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang:
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. - Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. - Stefan O'Toole, Miquel Ramírez, Nir Lipovetzky, Adrian R. Pearce:
Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning. - Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. - Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. - Jiachen Lu, Li Zhang, Junge Zhang, Xiatian Zhu, Hang Xu, Jianfeng Feng:
Softmax-free Linear Transformers. - Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul, Tasnim Jahan, S. M. Sakeef Sani, Nawsabah Noor, Taufiq Hasan:
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study. - Milo Roucairol, Tristan Cazenave:
Refutation of Spectral Graph Theory Conjectures with Monte Carlo Search. - Yuki Hashimoto, Akira Furui, Koji Shimatani, Maura Casadio, Paolo Moretti, Pietro Morasso, Toshio Tsuji:
Automated Classification of General Movements in Infants Using a Two-stream Spatiotemporal Fusion Network. - Tyson Brooks:
Authentication Devices in Fog-Mobile Edge Computing Environments Through a Wireless Grid Resource Sharing Protocol. - Jan Ondras, Abrar Anwar, Tong Wu, Fanjun Bu, Malte F. Jung, Jorge Jose Ortiz, Tapomayukh Bhattacharjee:
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups. - Carlos Alvarado, Ghulam Jilani Quadri, Jennifer Adorno Nieves, Paul Rosen:
A Case-Study on Variations Observed in Accelerometers Across Devices. - Bozo Vazic, Bilen Emek Abali, Pania Newell:
Determining parameters in generalized thermomechanics for metamaterials by means of asymptotic homogenization. - Ghulam Jilani Quadri, Jennifer Adorno Nieves, Brenton M. Wiernik, Paul Rosen:
Automatic Scatterplot Design Optimization for Clustering Identification. - Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Numerical Identification of Nonlocal Potential in Aggregation. - Ugo Dal Lago, Giulia Giusti:
On Session Typing, Probabilistic Polynomial Time, and Cryptographic Experiments (Long Version). - Tomer Ezra, Stefano Leonardi, Rebecca Reiffenhäuser, Matteo Russo, Alexandros Tsigonias-Dimitriadis:
Prophet Inequalities via the Expected Competitive Ratio. - Shaojie Tang, Jing Yuan:
Group Fairness in Adaptive Submodular Maximization. - Chengfeng Zhou, Songchang Chen, Chenming Xu, Jun Wang, Feng Liu, Chun Zhang, Juan Ye, Hefeng Huang, Dahong Qian:
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images. - Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. - Ziwei Zhu, Yun He, Xing Zhao, James Caverlee:
Evolution of Popularity Bias: Empirical Study and Debiasing. - Alexandre Pasquiou, Yair Lakretz, John T. Hale, Bertrand Thirion, Christophe Pallier:
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps. - Bing Yao, Xiaohui Zhang, Hui Sun, Jing Su, Fei Ma, Hongyu Wang:
Parameterized Colorings And Labellings Of Graphs In Topological Coding. - Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín:
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. - (Withdrawn) Egocentric Visual Self-Modeling for Legged Robot Locomotion.
- Stefan Steinerberger:
Approximate Solutions of Linear Systems at a Universal Rate. - Yitian Dai, Robin Preece, Mathaios Panteli:
Benefits and Challenges of Dynamic Modelling of Cascading Failures in Power Systems. - Muhammad Umar Farooq, Thomas Hain:
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition. - Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain:
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion. - Shaunak A. Mehta, Dylan P. Losey:
Unified Learning from Demonstrations, Corrections, and Preferences during Physical Human-Robot Interaction. - Adam B. Birchfield:
Inertia Adequacy in Transient Stability Models for Synthetic Electric Grids. - Davis Wertheimer, Luming Tang, Bharath Hariharan:
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners. - Seongjin Park, Haedong Jeong, Giyoung Jeon, Jaesik Choi:
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. - Raed Jaberi:
Minimum 2-edge strongly biconnected spanning directed subgraph problem. - Martin Odersky, Aleksander Boruch-Gruszecki, Edward Lee, Jonathan Immanuel Brachthäuser, Ondrej Lhoták:
Scoped Capabilities for Polymorphic Effects. - Judith S. Heinisch, Nan Gao, Christoph Anderson, Shohreh Deldari, Klaus David, Flora D. Salim:
Investigating the Effects of Mood & Usage Behaviour on Notification Response Time. - Mohit Raghavendra, Kartik Sharma, Anand Kumar M, Srijan Kumar:
Signed Link Representation in Continuous-Time Dynamic Signed Networks. - Yangming Zhou, Qichao Ying, Xiangyu Zhang, Zhenxing Qian, Sheng Li, Xinpeng Zhang:
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness. - Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar:
VecGAN: Image-to-Image Translation with Interpretable Latent Directions. - Vladimir R. Sidorenko, Christian Deppe:
Identification based on random coding. - Gourav Jhanwar, Navdeep Dahiya, Parmida Ghahremani, Masoud Zarepisheh, Saad Nadeem:
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function. - Tom Smeding, Matthijs Vákár:
Efficient Dual-Numbers Reverse AD via Well-Known Program Transformations. - Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah:
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition. - Namiko Matsumoto, Arya Mazumdar:
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. - Andrzej Bialecki, Natalia Jakubowska, Pawel Dobrowolski, Piotr Bialecki, Leszek Krupinski, Andrzej Szczap, Robert Bialecki, Jan Gajewski:
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset. - Changrui Chen, Kurt Debattista, Jungong Han:
Semi-supervised Object Detection via Virtual Category Learning. - Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. - Francesco Tassi, Francesco Iodice, Elena De Momi, Arash Ajoudani:
Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming. - Thomas Offergeld, Nils Mattus, Florian Schmidtke, Andreas Ulbig:
On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes. - Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Test-Time Adaptation. - Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada:
Fairness and Bias in Robot Learning. - Osama A. Hanna, Antonious M. Girgis, Christina Fragouli, Suhas N. Diggavi:
Differentially Private Stochastic Linear Bandits: (Almost) for Free. - Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data. - Atish Dixit, Ahmed H. Elsheikh:
Stochastic optimal well control in subsurface reservoirs using reinforcement learning. - Mingjie Bi, Gongyu Chen, Dawn M. Tilbury, Siqian Shen, Kira Barton:
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions. - Anton V. Vykhodtsev, Darren Jang, Qianpu Wang, William D. Rosehart, Hamidreza Zareipour:
Linearized Physics-Based Lithium-Ion Battery Model for Power System Economic Studies. - Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell:
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. - Mladen Kezunovic, Rashid Baembitov, Mohammad Khoshjahan:
Data-driven State of Risk Prediction and Mitigation in Support of the Net-zero Carbon Electric Grid. - Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. - Niv Cohen, Jonathan Kahana, Yedid Hoshen:
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors. - Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf:
Training Transformers Together. - Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. - Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. - Christian Boin, Lei Lei, Simon X. Yang:
AVDDPG: Federated reinforcement learning applied to autonomous platoon control. - Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon:
On Non-Linear operators for Geometric Deep Learning. - Hyuntai Kim:
Convolution Neural Network based Mode Decomposition for Degenerated Modes via Multiple Images from Polarizers. - Ming Yi, Meng Wang:
Recent Results of Energy Disaggregation with Behind-the-Meter Solar Generation. - Zejiang Hou, Julian Salazar, George Polovets:
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. - Kira Maag, Matthias Rottmann:
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation. - Lukasz Janeczko, Piotr Faliszewski:
The Complexity of Proportionality Degree in Committee Elections. - Thomas M. Bendall, Golo A. Wimmer:
Improving the accuracy of discretisations of the vector transport equation on the lowest-order quadrilateral Raviart-Thomas finite elements. - Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos:
Should All Proposals be Treated Equally in Object Detection? - Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi:
TF-GNN: Graph Neural Networks in TensorFlow. - Ezra Tal, Gilhyun Ryou, Sertac Karaman:
Aerobatic Trajectory Generation for a VTOL Fixed-Wing Aircraft Using Differential Flatness. - Ryan Shivers, Mohammad Ashiqur Rahman, Md. Jobair Hossain Faruk, Hossain Shahriar, Alfredo Cuzzocrea, Victor Clincy:
Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform. - Yi Zhang, Robert W. Heath Jr.:
Reinforcement Learning-based Joint User Scheduling and Link Configuration in Millimeter-wave Networks. - Md. Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed:
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. - Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok:
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. - Md. Jobair Hossain Faruk, Sharaban Tahora, Masrura Tasnim, Hossain Shahriar, Nazmus Sakib:
A Review of Quantum Cybersecurity: Threats, Risks and Opportunities. - Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
Deep Learning to Jointly Schema Match, Impute, and Transform Databases. - Qihao Peng, Zhiyu Xiang, YuanGang Fan, Tengqi Zhao, Xijun Zhao:
RWT-SLAM: Robust Visual SLAM for Highly Weak-textured Environments. - Moein Shakeri, Hong Zhang:
Highlight Specular Reflection Separation based on Tensor Low-rank and Sparse Decomposition Using Polarimetric Cues. - Tien-Hoa Nguyen, Van Dai Do:
An Analysis of Uplink Success Probability in Multi-Cell Lora Networks Under Different Channel Models. - Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John F. Canny:
An Embedding-Dynamic Approach to Self-supervised Learning. - John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube, Brian Belgodere:
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning. - Jiyoun Randolph, Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Liang Zhao, Nazmus Sakib, Bilash Saha:
Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework. - Uduak Inyang-Udoh, Alvin Chen, Sandipan Mishra:
A Learn-and-Control Strategy for Jet-Based Additive Manufacturing. - Harshit K. Sankhla, M. Nomaan Qureshi, Shankara Narayanan V, Vedansh Mittal, Gunjan Gupta, Harit Pandya, K. Madhava Krishna:
Flow Synthesis Based Visual Servoing Frameworks for Monocular Obstacle Avoidance Amidst High-Rises. - Xiurong Jiang, Lin Zhu, Yifan Hou, Hui Tian:
Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection. - Rick Wallace Kenyon, Amirhossein Sajadi, Bri-Mathias S. Hodge:
Droop-e: Exponential Droop as a Function of Power Output for Grid-Forming Inverters with Autonomous Power Sharing. - Sleiman Mhanna, Isam Saedi, Guanchi Liu, Pierluigi Mancarella:
Towards Optimal Integrated Planning of Electricity and Hydrogen Infrastructure for Large-Scale Renewable Energy Transport. - Alain Raymond-Saez, Julio Hurtado, Alvaro Soto:
A Study on the Predictability of Sample Learning Consistency. - Chawin Sitawarin, Zachary J. Golan-Strieb, David A. Wagner:
Demystifying the Adversarial Robustness of Random Transformation Defenses. - Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin. - D'Jeff Kanda Nkashama, Arian Soltani, Jean-Charles Verdier, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza:
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems. - Roland Olsson, Chau Thi Thuy Tran, Lars Vidar Magnusson:
Automatic Synthesis of Neurons for Recurrent Neural Nets. - Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve:
Code Translation with Compiler Representations. - Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen:
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. - Changwei Gong, Changhong Jing, Yanyan Shen, Shuqiang Wang:
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning. - Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci, Luca Faes, Fernando E. Rosas, Daniele Marinazzo, Sebastiano Stramaglia:
Gradients of O-information: low-order descriptors of high-order dependencies. - Mohamed Y. Selim, Ahmed E. Kamal, Farid Naït-Abdesselam:
X-haul Outage Compensation in 5G/6G Using Reconfigurable Intelligent Surfaces. - Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. - Rebecca Roelofs, Liting Sun, Benjamin Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai:
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. - Fernando Giner:
On the Metric Properties of IR Evaluation Measures Based on Ranking Axioms. - Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West:
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. - Dimitrios C. Gklezakos, Rishi Jha, Rajesh P. N. Rao:
Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets. - Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian:
Individual Preference Stability for Clustering. - David Bombara, Revanth Konda, Steven Swanbeck, Jun Zhang:
Anthropomorphic Twisted String-Actuated Soft Robotic Gripper with Tendon-Based Stiffening. - Yulin Shao, Yucheng Cai, Taotao Wang, Ziyang Guo, Peng Liu, Jianjun Luo, Deniz Gündüz:
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals. - Hung-Min Hsu, Yizhou Wang, Cheng-Yen Yang, Jenq-Neng Hwang, Le Uyen Thuc Hoang, Kwang-Ju Kim:
GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding. - Fernando Arévalo N., Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Production Assessment using a Knowledge Transfer Framework and Evidence Theory. - Hongkang Li, Shuai Zhang, Meng Wang:
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. - Eric Mörth, Stefan Bruckner, Noeska N. Smit:
ScrollyVis: Interactive visual authoring of guided dynamic narratives for scientific scrollytelling. - Shannan Guan, Haiyan Lu, Linchao Zhu, Gengfa Fang:
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning. - Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. - Hazim Shakhatreh, Ahmad Sawalmeh, Ali Hamdan Alenezi, Sharief Abdel-Razeq, Muhannad Almutiry, Ala I. Al-Fuqaha:
Mobile-IRS Assisted Next Generation UAV Communication Networks. - Christopher Liaw, Aranyak Mehta, Andrés Perlroth:
Efficiency of non-truthful auctions under auto-bidding. - Qiao Qi, Xiaoming Chen, Ata Khalili, Caijun Zhong, Zhaoyang Zhang, Derrick Wing Kwan Ng:
Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization. - Alexander Galozy, Slawomir Nowaczyk:
Information-Gathering in Latent Bandits. - Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. - Yuefei Chen, Xinli Zheng, Chunhua Ju, Fuguang Bao:
A Support Vector Model of Pruning Trees Evaluation Based on OTSU Algorithm. - Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. - Yinuo Hu, Shiyue Zhang, Viji Sathy, Abigail T. Panter, Mohit Bansal:
SETSum: Summarization and Visualization of Student Evaluations of Teaching. - Alperen Görmez, Erdem Koyuncu:
Pruning Early Exit Networks. - Chunyan Zeng, Kang Yan, Zhifeng Wang, Yan Yu, Shiyan Xia, Nan Zhao:
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks. - Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. - Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran:
Video Dialog as Conversation about Objects Living in Space-Time. - Qi Heng Ho, Roland B. Ilyes, Zachary N. Sunberg, Morteza Lahijanian:
Automaton-Guided Control Synthesis for Signal Temporal Logic Specifications. - Jiaxin Ai, Zhongyuan Wang, Baojin Huang, Zhen Han:
Deepfake Face Traceability with Disentangling Reversing Network. - Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman:
Identification of Intraday False Data Injection Attack on DER Dispatch Signals. - Jingwei Li:
Partition refinement for emulation. - Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan:
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving. - Jianwei Zhang, Lei Zhang, Junyou Wang, Xin Wei, Jiaqi Li, Xian Jiang, Dan Du:
Learning High-quality Proposals for Acne Detection. - Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin:
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning. - Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro:
Stability of Aggregation Graph Neural Networks. - Ziheng Zeng, Suma Bhat:
Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions. - Minhao Zhang, Ruoyu Zhang, Yanzeng Li, Lei Zou:
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base. - Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A Survey on Participant Selection for Federated Learning in Mobile Networks. - Junfu Pu, Ying Shan:
Music-driven Dance Regeneration with Controllable Key Pose Constraints. - Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization. - Xiemin Mo, Tao Liu, Xue Lyu:
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration. - Pengcheng Xu, Yunfeng Lu:
Predicting Li-ion Battery Cycle Life with LSTM RNN. - Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang:
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks. - Francisco Durán, Silverio Martínez-Fernández, Michael Felderer, Xavier Franch:
Guiding the retraining of convolutional neural networks against adversarial inputs. - Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary via Mixture-of-Expert Training. - Jianing Qiu, Frank P.-W. Lo, Yingnan Sun, Siyao Wang, Benny Lo:
Mining Discriminative Food Regions for Accurate Food Recognition. - Md Sadman Sakib, David Paulius, Yu Sun:
Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking. - Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit Singh Bedi, Dinesh Manocha:
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. - Wen-Chin Huang, Dejan Markovic, Alexander Richard, Israel Dejene Gebru, Anjali Menon:
End-to-End Binaural Speech Synthesis. - Ran Liu, Zhongyuan Deng, Zhiqiang Cao, Muhammad Shalihan, Billy Pik Lik Lau, Kaixiang Chen, Kaushik Bhowmik, Chau Yuen, U-Xuan Tan:
Distributed Ranging SLAM for Multiple Robots with Ultra-WideBand and Odometry Measurements. - Akio Kodaira, Yiyang Zhou, Pengwei Zang, Wei Zhan, Masayoshi Tomizuka:
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera. - Xiaojiang Peng, Xiaomao Fan, Qingyang Wu, Jieyan Zhao, Pan Gao:
Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework. - Yucheng Suo, Zhedong Zheng, Xiaohan Wang, Bang Zhang, Yi Yang:
Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation. - Austin Costley, Greg N. Droge, Randall Christensen, Robert C. Leishman, James Swedeen:
Path Planning with Uncertainty for Aircraft Under Threat of Detection from Ground-Based Radar. - Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi:
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. - Michael G. Adam, Martin Piccolrovazzi, Sebastian Eger, Eckehard G. Steinbach:
Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom. - Fengmei Jin, Wen Hua, Boyu Ruan, Xiaofang Zhou:
Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. - Liang Liao, Kangmin Xu, Haoning Wu, Chaofeng Chen, Wenxiu Sun, Qiong Yan, Weisi Lin:
Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment. - Wen Wang, Shunda Hu, Shiqiang Zhu, Wei Song, Zheyuan Lin, Tianlei Jin, Zonghao Mu, Yuanhai Zhou:
TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot. - Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. - Chao Yu, Yuhan Cheng:
Malliavin calculus and its application to robust optimal portfolio for an insider. - Marta Lagomarsino, Marta Lorenzini, Elena De Momi, Arash Ajoudani:
Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics and Workplace Productivity in Collaborative Tasks. - Frank Nielsen:
Revisiting Chernoff Information with Likelihood Ratio Exponential Families. - Luca Ciccone, Luca Padovani:
An Infinitary Proof Theory of Linear Logic Ensuring Fair Termination in the Linear π-Calculus. - Moshe Sipper:
Combining Deep Learning with Good Old-Fashioned Machine Learning. - Steven Robert Lorenzen, Henrik Riedel, Maximilian Michael Rupp, Leon Schmeiser, Hagen Berthold, Andrei Firus, Jens Schneider:
Virtual Axle Detector based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network. - Laurent Frering, Matthias Eder, Bettina Kubicek, Dietrich Albert, Denis Kalkofen, Thomas Gschwandtner, Heimo Krajnz, Gerald Steinbauer-Wagner:
Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER). - Maojun Zhang, Jiabao Gao, Caijun Zhong:
A Deep Learning-Based Framework for Low Complexity Multi-User MIMO Precoding Design. - Bilal Abu-Salih, Muhammad Al-Qurishi, Mohammed Alweshah, Mohammad Al-Smadi, Reem Alfayez, Heba Saadeh:
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities. - Wanyi Zhuang, Qi Chu, Haojie Yuan, Changtao Miao, Bin Liu, Nenghai Yu:
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning. - Ramsés J. Sánchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski, César Ojeda:
Hidden Schema Networks. - Marta Lagomarsino, Marta Lorenzini, Pietro Balatti, Elena De Momi, Arash Ajoudani:
Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly. - Chuong H. Nguyen, Su Huynh, Vinh Nguyen, Ngoc Nguyen:
VidConv: A modernized 2D ConvNet for Efficient Video Recognition. - Antonino Bongiovanni, Alessio De Luca, Luna Gava, Lucrezia Grassi, Marta Lagomarsino, Marco Lapolla, Antonio Marino, Patrick Roncagliolo, Simone Macciò, Alessandro Carfì, Fulvio Mastrogiovanni:
Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study. - Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. - Philipp Glira, Christoph Weidinger, Johann Weichselbaum:
Continuous Target-free Extrinsic Calibration of a Multi-Sensor System from a Sequence of Static Viewpoints. - Marta Lorenzini, Simone Ciotti, Juan M. Gandarias, Simone Fani, Matteo Bianchi, Arash Ajoudani:
Performance Analysis of Vibrotactile and Slide-and-Squeeze Haptic Feedback Devices for Limbs Postural Adjustment. - Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. - Daniel van Huyssteen, Felipe Lopez Rivarola, Guillermo Etse, Paul Steinmann:
On mesh refinement procedures for polygonal virtual elements. - Tobias Friedrich, Hans Gawendowicz, Pascal Lenzner, Arthur Zahn:
The Impact of Cooperation in Bilateral Network Creation. - Yongqi Wang, Zhou Zhao:
FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis. - Xiaoli Yan:
Robust Newsvendor Problem in Global Market: Stable Operation Strategy for a Two-Market Stochastic System. - Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic:
On the Subspace Structure of Gradient-Based Meta-Learning. - Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid:
Beyond Transfer Learning: Co-finetuning for Action Localisation. - Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. - Marta Lorenzini, Juan M. Gandarias, Luca Fortini, Wansoo Kim, Arash Ajoudani:
ErgoTac-Belt: Anticipatory Vibrotactile Feedback to Lead \\Centre of Pressure during Walking. - Max Landauer, Sebastian Onder, Florian Skopik, Markus Wurzenberger:
Deep Learning for Anomaly Detection in Log Data: A Survey. - Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig:
Zero-Shot Cost Models for Distributed Stream Processing. - Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations. - Pier Luca Lanzi, Daniele Loiacono, Alberto Arosio, Dorian Bucur, Davide Caio, Luca Capecchi, Maria Giulietta Cappelletti, Lorenzo Carnaghi, Marco Giuseppe Caruso, Valerio Ceraudo, Luca Contato, Luca Cornaggia, Christian Costanza, Tommaso Grilli, Sumero Lira, Luca Marchetti, Giulia Olivares, Barbara Pagano, Davide Pons, Michele Pirovano, Valentina Tosto:
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design. - Glenn Ceusters, Luis Ramirez Camargo, Rüdiger Franke, Ann Nowé, Maarten Messagie:
Safe reinforcement learning for multi-energy management systems with known constraint functions. - Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Michal Lukasik, Barbara Karpowicz, Julia Paluch, Kinga Kwiatkowska, Daniel Jablonski, Rafal Maslyk:
XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institut. - Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. - El-Mehdi El Arar, Devan Sohier, Pablo de Oliveira Castro, Eric Petit:
The Positive Effects of Stochastic Rounding in Numerical Algorithms. - Hengguang Li, Charuka D. Wickramasinghe, Peimeng Yin:
A C0 finite element method for the biharmonic problem with Dirichlet boundary conditions in a polygonal domain. - Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
Continuous Methods : Hamiltonian Domain Translation. - Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. - Jakob Schyga, Swantje Plambeck, Johannes Hinckeldeyn, Görschwin Fey, Jochen Kreutzfeldt:
Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems. - Anna Jaskulska, Kinga Skorupska, Zuzanna Bubrowska, Kinga Kwiatkowska, Wiktor Stawski, Maciej Krzywicki, Monika Kornacka, Wieslaw Kopec:
Participatory Action for Citizens' Engagement to Develop a Pro-Environmental Research Application. - Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim:
DSTEA: Dialogue State Tracking with Entity Adaptive Pre-training. - Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei Zhang, He Chen:
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain. - Chien-Chung Huang, François Sellier:
Maximum Weight b-Matchings in Random-Order Streams. - Xavier Claeys:
A new perspective on the fictitious space lemma. - Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox:
Pixel-level Correspondence for Self-Supervised Learning from Video. - Riccardo Mereu, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone, Barbara Caputo:
Learning Sequential Descriptors for Sequence-based Visual Place Recognition. - Taichi Fukuda, Kotaro Hasegawa, Shinya Ishizaki, Shohei Nobuhara, Ko Nishino:
BlindSpotNet: Seeing Where We Cannot See. - Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li:
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems. - Mark Chevallier, Matthew Whyte, Jacques D. Fleuriot:
Constrained Training of Neural Networks via Theorem Proving. - Zahraa Al Sahili, Mariette Awad:
The Power of Transfer Learning in Agricultural Applications: AgriNet. - Manish Goyal, Miheer Dewaskar, Parasara Sridhar Duggirala:
NExG: Provable and Guided State Space Exploration of Neural Network Control Systems using Sensitivity Approximation. - Roland Roller, Laura Seiffe, Ammer Ayach, Sebastian Möller, Oliver Marten, Michael Mikhailov, Christoph Alt, Danilo Schmidt, Fabian Halleck, Marcel Ganesh Naik, Wiebke Duettmann, Klemens Budde:
A Medical Information Extraction Workbench to Process German Clinical Text. - Markus Wenzel:
Generative Adversarial Networks and Other Generative Models. - Clinton Cao, Annibale Panichella, Sicco Verwer, Agathe Blaise, Filippo Rebecchi:
Encoding NetFlows for State-Machine Learning. - Christian Vitale, Panayiotis Kolios, Georgios Ellinas:
Periodic and Event-Triggering for Joint Capacity Maximization and Safe Intersection Crossing. - Sreekala S., Vineeth Paleri:
Copy Propagation subsumes Constant Propagation. - Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh:
Defense Against Multi-target Trojan Attacks. - Yulai Cong, Miaoyun Zhao:
Big Learning: A Universal Machine Learning Paradigm? - Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song:
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. - Chao Yang, Wen Yang, Hongbo Shi:
Privacy Preservation by Local Design in Cooperative Networked Control Systems. - Bhagyashree C. Prabhune, Krishnan Suresh:
Towards tangled finite element analysis over partially inverted hexahedral elements. - Vanessa A. Godoy, Gian F. Napa-García, J. Jaime Gómez-Hernández:
Ensemble random forest filter: An alternative to the ensemble Kalman filter for inverse modeling. - Tianwen Zhang, Xiaoling Zhang:
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation. - Johanna Vorwerk, Thierry Zufferey, Petros Aristidou, Gabriela Hug:
Using Quantile Forecasts for Dynamic Equivalents of Active Distribution Grids under Uncertainty. - Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. - Sejin Seo, Jihong Park, Seung-Woo Ko, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim:
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective. - Manuel Klar, Christian Vollmann, Volker Schulz:
nlfem: A flexible 2d Fem Code for Nonlocal Convection-Diffusion and Mechanics. - Sheng Kuang, Kiki van der Heijden, Siamak Mehrkanoon:
BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. - Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith:
GT4SD: Generative Toolkit for Scientific Discovery. - Leo Lobski, Fabio Zanasi:
String Diagrams for Layered Explanations. 362-382 - Zahra Atashgahi, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Memory-free Online Change-point Detection: A Novel Neural Network Approach. - Elisa Marcelli, Tommaso Barbariol, Gian Antonio Susto:
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems. - Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem:
An Approach to Ensure Fairness in News Articles. - Nicolás Ruiz, Josep Domingo-Ferrer:
Bistochastic privacy. - Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon:
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning. - Anton Paramonov, Iosif Salem, Stefan Schmid, Vitaly Aksenov:
Self-Adjusting Linear Networks with Ladder Demand Graph. - Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. - Samuel Epstein:
Outliers, Dynamics, and the Independence Postulate. - Abdurakhmon Sadiev, Dmitry Kovalev, Peter Richtárik:
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox. - Lea Steffen, Tobias Weyer, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann:
Reactive Neural Path Planning with Dynamic Obstacle Avoidance in a Condensed Configuration Space. - Nikolaj Kjøller Bjerregaard, Veronika Cheplygina, Stefan Heinrich:
Detection of Furigana Text in Images. - Hyounghun Kim, Abhay Zala, Mohit Bansal:
CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination. - Sebastian Liemann, Christian Rehtanz:
Power Response and Modelling Aspects of Power Electronic Loads in Case of Voltage Drops. - Zhen Wang, Yuan-Hai Shao:
Generalization-Memorization Machines. - Mahdad Jafarzadeh Esfahani, Amir Hossein Daraie, Frederik D. Weber, Martin Dresler:
Dreamento: an open-source dream engineering toolbox for sleep EEG wearables. - Michael W. Fisher, Gabriela Hug, Florian Dörfler:
Approximation by Simple Poles - Part I: Density and Geometric Convergence Rate in Hardy Space. - Tuhinangshu Choudhury, Weina Wang, Gauri Joshi:
Tackling Heterogeneous Traffic in Multi-access Systems via Erasure Coded Servers. - Corentin Le Coz, Christopher Battarbee, Ramón Flores, Thomas Koberda, Delaram Kahrobaei:
Post-quantum hash functions using SLnFp. - Maya Okawa, Tomoharu Iwata:
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. - Mathieu Montin, Amélie Ledein, Catherine Dubois:
LibNDT: Towards a Formal Library on Spreadable Properties over Linked Nested Datatypes. 27-44 - Pramit Dutta, Nafisa Anjum:
Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Interference System. - Mohammadsepehr Karimiziarani:
A Tutorial on Event Detection using Social Media Data Analysis: Applications, Challenges, and Open Problems. - Federica Cena, Cristina Gena, Claudio Mattutino, Michele Mioli, Barbara Treccani, Fabiana Vernero, Massimo Zancanaro:
Incorporating Personality Traits in User Modeling for EUD. - Lennart Justen, Kilian Müller, Marco Niemann, Jörg Becker:
No Time Like the Present: Effects of Language Change on Automated Comment Moderation. - Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego:
Event Collapse in Contrast Maximization Frameworks. - Prateek Kacker, Andi Cupallari, Aswin Gridhar Subramanian, Nimit Jain:
ABB-BERT: A BERT model for disambiguating abbreviations and contractions. - Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. - Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, Matt Huenerfauth:
ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks. - Shubhransh Singhvi, Gayathri R., P. Vijay Kumar:
Rate-Optimal Streaming Codes Over the Three-Node Decode-And-Forward Relay Network. - Yu Li, Anisha Parsan, Bill Wang, Penghao Dong, Shanshan Yao, Ruwen Qin:
A Multi-tasking Model of Speaker-Keyword Classification for Keeping Human in the Loop of Drone-assisted Inspection. - Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Rose Driggs-Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material). - Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan:
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions. - Nico Lehmann, Adam T. Geller, Gilles Barthe, Niki Vazou, Ranjit Jhala:
Flux: Liquid Types for Rust. - Zhiyuan Li, Tianhao Wang, Jason D. Lee, Sanjeev Arora:
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent. - Yunus Can Gültekin, Frans M. J. Willems, Alex Alvarado:
Log-CCDM: Distribution Matching via Multiplication-free Arithmetic Coding. - Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber:
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications. - Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. - Benjamin Doerr, Yassine Ghannane, Marouane Ibn Brahim:
Runtime Analysis for Permutation-based Evolutionary Algorithms. - Sunit Shantanu Digamber Fulari, Harbinder Singh:
Optimal Pattern synthesis of linear antenna array using Ant Hill Colonization Optimization algorithm(AHCOA). - Qingya Li, Xiangzhi Liu, Fuqiang Wang, Shuai Wang, Peng Zhang, Xiaoming Wu:
A Framework Based on Generational and Environmental Response Strategies for Dynamic Multi-objective Optimization. - Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs. - Minguk Jang, Sae-Young Chung:
Few-Example Clustering via Contrastive Learning. - Chao Yu, Yuhan Cheng, Yilun Song:
Robust optimal investment and risk control for an insurer with general insider information. - Ruta Binkyte, Sami Zhioua:
On the Need and Applicability of Causality for Fair Machine Learning. - Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug:
Online Learning in Supply-Chain Games. - Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Discovery using Model Invariance through Knockoff Interventions. - Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. - Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. - Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami:
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks. - Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. - Akanksha Gupta:
An Integrated Framework for DevSecOps Adoption. - Hanseul Jun, Husam Shaik, Michael Lewek, Henry Fuchs, Jeremy N. Bailenson:
A Study on the Effectiveness of Using Telepresence and Multiple Cameras in Remote Physical Therapy. - Yunus Can Gültekin, Olga Vassilieva, Inwoong Kim, Paparao Palacharla, Chigo Okonkwo, Alex Alvarado:
On Optimum Enumerative Sphere Shaping Blocklength at Different Symbol Rates for the Nonlinear Fiber Channel. - Goutam Das, Daigo Shishika:
Guarding a Translating Line with an Attached Defender. - Dominik Lewy, Jacek Mandziuk, Maria Ganzha, Marcin Paprzycki:
StatMix: Data augmentation method that relies on image statistics in federated learning. - Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar:
Evaluating Systemic Error Detection Methods using Synthetic Images. - Tom Ayoola, Joseph Fisher, Andrea Pierleoni:
Improving Entity Disambiguation by Reasoning over a Knowledge Base. - Tom Ayoola, Shubhi Tyagi, Joseph Fisher, Christos Christodoulopoulos, Andrea Pierleoni:
ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking. - Avinash Achar, Soumen Pachal:
Seasonal Encoder-Decoder Architecture for Forecasting. - Han Jiang, Shang-En Huang, Thatchaphol Saranurak, Tian Zhang:
Vertex Sparsifiers for Hyperedge Connectivity. - Nathaniel Hamilton, Kyle Dunlap, Taylor T. Johnson, Kerianne L. Hobbs:
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. - Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer:
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents. - Olga Lukyanova, Oleg Nikitin, Alex Kunin:
Braid-based architecture search. - Runhui Wang, Yuliang Li, Jin Wang:
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation. - Rushil Anirudh, Jayaraman J. Thiagarajan:
Out of Distribution Detection via Neural Network Anchoring. - Raphaël Olivier, Bhiksha Raj:
Not all broken defenses are equal: The dead angles of adversarial accuracy. - Hannah Halin Kim, Shuzhi Yu, Shuai Yuan, Carlo Tomasi:
Cross-Attention Transformer for Video Interpolation. - Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch:
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. - Jorge A. Mendez, Marcel Hussing, Meghna Gummadi, Eric Eaton:
CompoSuite: A Compositional Reinforcement Learning Benchmark. - Michele Martelli, Antonio Virdis, Alberto Gotta, Pietro Cassarà, Maria di Summa:
An Outlook on the Future Marine Traffic Management System for Autonomous Ships. - Yigit Efe Erginbas, Soham R. Phade, Kannan Ramchandran:
Interactive Recommendations for Optimal Allocations in Markets with Constraints. - Juan Ramirez, Jose Gallego-Posada:
L0onie: Compressing COINs with L0-constraints. - Neil Perry, Bruce Spang, Saba Eskandarian, Dan Boneh:
Strong Anonymity for Mesh Messaging. - Dunbar Birnie IV, Christopher Cheng, Emina Soljanin:
Information Rates with Non Ideal Photon Detectors in Time-Entanglement Based QKD. - Raffaello Secchi, Pietro Cassarà, Alberto Gotta:
Exploring Machine Learning for Classification of QUIC Flows over Satellite. - Bosong Li, Baosen Zhang, Daniel S. Kirschen:
Cyber-Physical Attack Leveraging Subsynchronous Resonance. - Abhinav Kumar, Chenhao Tan, Amit Sharma:
Probing Classifiers are Unreliable for Concept Removal and Detection. - Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh:
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues. - Clive Gomes, Hyejin Park, Patrick Kollman, Yi Song:
Automated Audio Captioning and Language-Based Audio Retrieval. - Joshua Brunk, Nathan Jermann, Ryan Sharp, Carl D. Hoover:
A Survey of Task-Based Machine Learning Content Extraction Services for VIDINT. - Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup:
The SPEC-RG Reference Architecture for the Edge Continuum. - Amine Ouasfi,