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ORCIDCoRR, July 2023
- Ed S. Ma:
Investigating Masking-based Data Generation in Language Models. - Büsra Tabak:
Automated Assignment and Classification of Software Issues. - Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. - Nadav Cohen
, Itzik Klein:
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions. - Qasim Ajao, Lanre Sadeeq:
Overview Analysis of Recent Developments on Self-Driving Electric Vehicles. - Yuhao Cui, Xiongwei Wang, Zhongzhou Zhao, Wei Zhou, Haiqing Chen:
CASEIN: Cascading Explicit and Implicit Control for Fine-grained Emotion Intensity Regulation. - Vishvajitsinh Bakrola, Jitendra Nasariwala:
SAHAAYAK 2023 - the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation. - Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. - Guangtao Zhang, Yiting Duan, Guanyu Pan, Qijing Chen, Huiyu Yang, Zhikun Zhang:
Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients. - Christoph F. Kurz, Adriana N. König:
Machine learning for potion development at Hogwarts. - Peder Bergebakken Sundt, Theoharis Theoharis:
MARF: The Medial Atom Ray Field Object Representation. - Zenglin Shi, Ying Sun, Mengmi Zhang:
Training-free Object Counting with Prompts. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs. - Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
DisCo: Disentangled Control for Referring Human Dance Generation in Real World. - Samuel Goree, David Crandall:
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision. - Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto:
Qualitative Prediction of Multi-Agent Spatial Interactions. - Yan Gao, Yan Wang, Qiang Wang:
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation. - Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi:
Transformers in Healthcare: A Survey. - Kshitij Goel, Wennie Tabib:
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy. - Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. - Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer:
On the Limits of Single Anchor Localization: Near-Field vs Far-Field. - R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. - Stefan Hill, David Fitzek, Patrick Delfmann, Carl Corea:
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? - Juha Tiirola:
A Parts Based Registration Loss for Detecting Knee Joint Areas. - Lianxin Zhang, Yihan Huang, Zhongzhong Cao, Yang Jiao, Huihuan Qian:
Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles. - John Mark Agosta, Robert Horton:
Redeeming Data Science by Decision Modelling. - Ciera McFarland, Margaret M. Coad:
Collapse of Straight Soft Growing Inflated Beam Robots Under Their Own Weight. - Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. - Harnoor Dhingra, Preetiha Jayashanker, Sayali Moghe, Emma Strubell:
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models. - Uma Meleti, Abolfazl Razi:
Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems. - Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz:
Distance Functions and Normalization Under Stream Scenarios. - Zhexiong Liu, Cristopher Benge, Siduo Jiang:
Ticket-BERT: Labeling Incident Management Tickets with Language Models. - Prabin Sharma, Kisan Thapa, Dikshya Thapa, Prastab Dhakal, Mala Deep Upadhaya, Santosh Adhikari, Salik Ram Khanal:
Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education. - Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn:
A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction. - Vladimir Kolmogorov:
A simpler and parallelizable O(√log n)-approximation algorithm for Sparsest Cut. - Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. - Yaxiong Lei, Shijing He, Mohamed Khamis, Juan Ye:
An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. - Ali Ayub, Jainish Mehta, Zachary De Francesco, Patrick Holthaus, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
How Do Human Users Teach a Continual Learning Robot in Repeated Interactions? - Nils Kohl, Stephen F. McCormick, Rasmus Tamstorf:
Multigrid Methods using Block Floating Point Arithmetic. - Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. - Shiyu Yuan, Carlo Lipizzi:
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches. - N. Harsha Vardhan, Manav Chaudhary:
iMETRE: Incorporating Markers of Entity Types for Relation Extraction. - James Akl, Yash Patil, Chinmay Todankar, Berk Çalli:
Vision-based Oxy-fuel Torch Control for Robotic Metal Cutting. - Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli:
Generalization Limits of Graph Neural Networks in Identity Effects Learning. - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. - Jared Stewart, Mayya Tokman, Fabrizio Bisetti, Valentin Dallerit, Oscar H. Díaz-Ibarra:
Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians. - Peter Benner, Kathryn Lund, Jens Saak:
Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). - Ruoqi Zhang, Jens Sjölund:
Risk-sensitive Actor-free Policy via Convex Optimization. - Patrick Emami, Abhijeet Sahu, Peter Graf:
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. - Hari Venugopalan, Kaustav Goswami, Zain ul Abi Din, Jason Lowe-Power, Samuel T. King, Zubair Shafiq:
Centauri: Practical Rowhammer Fingerprinting. - Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. - Josh Pollock, Catherine Mei, Grace Huang, Daniel Jackson, Arvind Satyanarayan:
Bluefish: A Relational Grammar of Graphics. - Thatchaphol Saranurak, Wuwei Yuan:
Maximal k-Edge-Connected Subgraphs in Almost-Linear Time for Small k. - Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa:
Hierarchical Neural Coding for Controllable CAD Model Generation. - Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. - Rodrigo Raya:
The Complexity of Satisfiability Checking for Symbolic Finite Automata. - Christopher Getschmann, Florian Echtler:
LensLeech: On-Lens Interaction for Arbitrary Camera Devices. - Kevin Wils, Boyang Chen:
A symbolic approach to discrete structural optimization using quantum annealing. - Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. - Zhuonan Hao, Sangmin Lim, Mohammad Khalid Jawed:
Modeling, Characterization, and Control of Bacteria-inspired Bi-flagellated Mechanism with Tumbling. - Adrian Stando, Mustafa Cavus, Przemyslaw Biecek:
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems. - Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang:
FFPDG: Fast, Fair and Private Data Generation. - Ankita Pasad, Chung-Ming Chien, Shane Settle, Karen Livescu:
What do self-supervised speech models know about words? - Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. - Robert Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng:
U-Calibration: Forecasting for an Unknown Agent. - Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. - Benjamin A. Levinstein, Daniel A. Herrmann:
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks. - Jingcheng Li, Loukas Lazos, Ming Li:
SecBeam: Securing mmWave Beam Alignment against Beam-Stealing Attacks. - Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Nianyi Li:
Unsupervised Coordinate-Based Video Denoising. - Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Influence maximization on temporal networks: a review. - Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. - Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu:
Long-Tailed Continual Learning For Visual Food Recognition. - Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric:
Personality Traits in Large Language Models. - Jing Nan, Wei Dai, Guan Yuan, Ping Zhou:
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. - Mingchen Li, Rui Zhang:
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain. - Thomas Navidi, Abbas El Gamal, Ram Rajagopal:
Coordination of DERs for Grid Reliability via Day-ahead Demand-Supply Power Bounds. - Athindran Ramesh Kumar, Kai-Chieh Hsu, Peter J. Ramadge, Jaime F. Fisac:
Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming. - Ankit Agrawal, Bohan Zhang, Yashaswini Shivalingaiah, Michael Vierhauser, Jane Cleland-Huang:
A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles. - Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. - Renwang Li, Xiaodan Shao, Shu Sun, Meixia Tao, Rui Zhang:
Beam Scanning for Integrated Sensing and Communication in IRS-aided mmWave Systems. - Yulong Li, Andy Zeng, Shuran Song:
General Part Assembly Planning. - Huixuan Zhang, Xiaojun Wan:
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. - Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai:
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence. - Dongshen Han, Seungkyu Lee:
Internal-External Boundary Attention Fusion for Glass Surface Segmentation. - Andrew Kean Gao:
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data. - Stephen F. McCormick, Rasmus Tamstorf:
Rounding-Error Analysis of Multigrid V-Cycles. - Shu Liu, Chaoping Xing, Yaqian Zhang:
Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage. - Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Xiujian Liang, Bingshan Liu, Qichao Ying, Zhenxing Qian, Xinpeng Zhang:
StyleStegan: Leak-free Style Transfer Based on Feature Steganography. - Ye Xue, Diego Klabjan, Jean Utke:
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. - Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth:
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. - Kali Krishna Kota, M. S. S. Manasa, Praful D. Mankar, Harpreet S. Dhillon:
Statistically Optimal Beamforming and Ergodic Capacity for RIS-aided MISO Systems. - Sidike Paheding, Abel A. Reyes Angulo:
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. - Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Ziye Jia, Chao Dong, Kun Guo, Qihui Wu:
The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks. - Seda Dogan Tusha, Muhammad Iqbal Rochman, Armed Tusha, Hossein Nasiri, James Helzerman, Monisha Ghosh:
Evaluating The Interference Potential in 6 GHz: An Extensive Measurement Campaign of A Dense Indoor Wi-Fi 6E Network. - Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. - Weihang Su, Xiangsheng Li, Yiqun Liu, Min Zhang, Shaoping Ma:
THUIR2 at NTCIR-16 Session Search (SS) Task. - Gergely Bérczi, Honglu Fan, Mingcong Zeng:
An ML approach to resolution of singularities. - Anubhav Dhar, Soumita Hait, Sudeshna Kolay:
Efficient Algorithms for Euclidean Steiner Minimal Tree on Near-Convex Terminal Sets. - Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. - Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. - Koichi Fujii, Tomomi Matsui:
Solving break minimization problems in mirrored double round-robin tournament with QUBO solver. - Ying Gao, Qingqing Wu, Wen Chen, Yang Liu, Ming Li, Daniel Benevides da Costa:
IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation. - Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian:
Hierarchical Pretraining for Biomedical Term Embeddings. - Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu:
Self-Supervised Query Reformulation for Code Search. - Md Tamjid Hossain, Hung M. La:
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning. - Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Yongshang Li, Ronggui Ma, Han Liu, Gaoli Cheng:
HrSegNet : Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation. - Ruijie Yang, Yuanfang Guo, Junfu Wang, Jiantao Zhou, Yunhong Wang:
Common Knowledge Learning for Generating Transferable Adversarial Examples. - Mike A. Botchev:
On convergence of waveform relaxation for nonlinear systems of ordinary differential equations. - Rayees Ahmad Thokar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Nand Kishor Meena, Jin Yang:
Optimally Coordinated Energy Management Framework for Profit Maximization Considering Dispatchable and Non-Dispatchable Energy Resources. - Peter Gangl, Mario Gobrial, Olaf Steinbach:
A space-time finite element method for the eddy current approximation of rotating electric machines. - Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. - Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. - Daniyar Kazidenov, Sagyn Omirbekov, Meruyet Zhanabayeva, Yerlan Amanbek:
Experimental and numerical study of the effect of polymer flooding on sand production in poorly consolidated porous media. - Lennart Purucker, Joeran Beel:
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. - Lennart Purucker, Joeran Beel:
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. - Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu:
AutoST: Training-free Neural Architecture Search for Spiking Transformers. - Hidekazu Yoshioka:
Non-singularity of the generalized logit dynamic with an application to fishing tourism. - Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Yongdong Zhang, Zhendong Mao:
DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation. - Khyodeno Mozhui, K. V. Krishna:
Graphs with Permutation-Representation Number at most Three. - Ivo Vatavuk, Zdenko Kovacic:
Constrained Prioritized 3T2R Task Control for Robotic Agricultural Spraying. - David K. E. Green, Adam Jaspan:
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting. - Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. - Hanieh Naderi, Ivan V. Bajic:
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey. - Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot:
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. - Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang:
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. - Jit Mukherjee:
Detection of River Sandbank for Sand Mining with the Presence of Other High Mineral Content Regions Using Multi-spectral Images. - Chong Zhang, Min Dong, Ben Liang, Ali Afana, Yahia Ahmed:
Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning. - Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. - Ishay Haviv:
On Finding Constrained Independent Sets in Cycles. - Bouziane Brik, Hatim Chergui, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Muhammad Shuaib Siddiqui, Xavier Costa-Pérez, Christos V. Verikoukis:
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions. - Evgeniy Martyushev, Snehal Bhayani, Tomás Pajdla:
Automatic Solver Generator for Systems of Laurent Polynomial Equations. - Benzar Glen S. Grepon, JC P. Margallo, Jonathan B. Maserin, Rio Al-Di A. Dompol:
RUI: A Web-based Road Updates Information System using Google Maps API. - Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Balasubramanian Raman:
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum. - Yuan Fang, Yuanzhi Cai, Lei Fan:
SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening. - Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Zheyuan Jiang, Jianyu Chen:
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment. - Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng:
Variation-aware Vision Transformer Quantization. - Rindo Nakanishi, Yoshiaki Takata, Hiroyuki Seki:
A game-theoretic approach to indistinguishability of winning objectives as user privacy. - Gowtham Ramesh, Makesh Narsimhan Sreedhar, Junjie Hu:
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA. - Dulhan Hansaja Jayalath, Jonas Jürß, Petar Velickovic:
Recursive Algorithmic Reasoning. - Wenzheng Zhang, Chenyan Xiong, Karl Stratos, Arnold Overwijk:
Improving Multitask Retrieval by Promoting Task Specialization. - Jeff Ledford, Ryan Urban, Alec Vidanes:
A note concerning polyhyperbolic and related splines. - Yifan Zhang, Zhiyu Zhu, Junhui Hou:
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection. - Maya Grace Torii, Takahito Murakami, Yoichi Ochiai:
Lottery and Sprint: Generate a Board Game with Design Sprint Method on Auto-GPT. - Gustavo da Silva, Ronnie Edson de Souza Santos:
Comparing Mobile Testing Tools Using Documentary Analysis. - Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin:
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. - Yu-Wei Huang:
Abstract Orientable Incidence Structure and Algorithms for Finite Bounded Acyclic Categories. II. Data Structure and Fundamental Operations. - Georgi Ganev:
When Synthetic Data Met Regulation. - Zuchao Li, Shitou Zhang, Hai Zhao, Yifei Yang, Dongjie Yang:
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer. - Álvaro Huertas-García, Carlos Martí-González, Rubén García Maezo, Alejandro Echeverría Rey:
A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact. - Emmanuel Sam, Benjamin Bergougnoux, Petr A. Golovach, Nello Blaser:
Kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves. - Eike Neumann:
On the Complexity of Robust Eventual Inequality Testing for C-Finite Functions. - Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. - Wei Zhang, Christof Schütte:
Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics. - Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. - Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. - Qi Bi, Shaodi You, Theo Gevers:
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. - Pedro Simplicio, Paul Acquatella, Samir Bennani:
Launcher Attitude Control based on Incremental Nonlinear Dynamic Inversion: A Feasibility Study Towards Fast and Robust Design Approaches. - Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. - Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis:
Residual-based attention and connection to information bottleneck theory in PINNs. - Wojciech Kusa, Óscar E. Mendoza, Petr Knoth, Gabriella Pasi, Allan Hanbury:
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking. - Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman:
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. - Xianyi Cheng, Sarvesh Patil, Fatma Zeynep Temel, Oliver Kroemer, Matthew T. Mason:
Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration. - Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad:
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. - Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora:
PersonaGen: A Tool for Generating Personas from User Feedback. - Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. - Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Afaf Benzaibak, Chahrazed Boudellal:
Improving CNN-based Person Re-identification using score Normalization. - Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. - Hammas Bin Tanveer, Mike Puchol, Rachee Singh, Antonio Bianchi, Rishab Nithyanand:
Making Sense of Constellations: Methodologies for Understanding Starlink's Scheduling Algorithms. - Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. - Ruiquan Huang, Yingbin Liang, Jing Yang:
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. - Lukasz Kowalik, Alexandra Lassota, Konrad Majewski, Michal Pilipczuk, Marek Sokolowski:
Detecting Points in Integer Cones of Polytopes is Double-Exponentially Hard. - Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi:
WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting. - Hyuk Jun Kweon, Honglin Zhu:
Maximum Overlap Area of Several Convex Polygons Under Translations. - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Applications of Binary Similarity and Distance Measures. - Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. - Mingzhen Shao:
Brightness-Restricted Adversarial Attack Patch. - Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. - Ramchandran Muthukumar, Jeremias Sulam:
Sparsity-aware generalization theory for deep neural networks. - Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi:
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution. - Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. - Melvin Mokhtari, Amirreza Hosseini, Alireza Habibi, Adel Karshenas, Ali Amoomahdi:
Intelligent Traffic Control with Smart Speed Bumps. - Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh:
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. - Qiaomei Li, Kara L. Gavin, Corrine I. Voils, Yonatan Mintz:
An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions. - Jiang Li, Xiaoping Wang, Zhigang Zeng:
A Dual-Stream Recurrence-Attention Network with Global-Local Awareness for Emotion Recognition in Textual Dialogue. - Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff:
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. - Xinzhe Li, Ming Liu, Shang Gao:
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data. - Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. - Prateek Verma:
Conformer LLMs - Convolution Augmented Large Language Models. - Zhenhua Wang, Kaining Ying, Jiajun Meng, Jifeng Ning, Cong Bai:
Human-to-Human Interaction Detection. - Zsolt Zombori, Agapi Rissaki, Kristóf Szabó, Wolfgang Gatterbauer, Michael Benedikt:
Towards Unbiased Exploration in Partial Label Learning. - Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng:
MissDiff: Training Diffusion Models on Tabular Data with Missing Values. - Ayan Maity, Sudeshna Sarkar:
Data-Driven Probabilistic Energy Consumption Estimation for Battery Electric Vehicles with Model Uncertainty. - Le Xiao, Xin Shan:
PatternGPT : A Pattern-Driven Framework for Large Language Model Text Generation. - Furkan Gursoy, Ioannis A. Kakadiaris:
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. - Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Moments, Random Walks, and Limits for Spectrum Approximation. - Zhaoyu Chen, Bo Li, Shuang Wu, Shouhong Ding, Wenqiang Zhang:
Query-Efficient Decision-based Black-Box Patch Attack. - Tao Wang, Yushu Zhang, Zixuan Yang, Hua Zhang, Zhongyun Hua:
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection. - Yucheng Li:
Adaptive Sampling Control in Motion Planning of Autonomous Vehicle. - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching. - Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. - Nhat Thanh Tran, Jack Xin:
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. - Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li:
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction. - Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr:
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. - Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. - Ehsan Latif, Ramviyas Parasuraman:
CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning. - Brooke Dalton, Mark Stamp:
Classifying World War II Era Ciphers with Machine Learning. - Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi:
On efficient computation in active inference. - Wei Dai, Jiang Liu, Lanhao Wang:
Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks. - Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, Itzhak Omer, Sagi Dalyot, Reut Tsarfaty:
HeGeL: A Novel Dataset for Geo-Location from Hebrew Text. - Binqing Wu, Ling Chen:
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting. - Sen Pei, Jiaxi Sun, Peng Qin, Qi Chen, Xinglong Wu, Xun Wang:
End-to-End Out-of-distribution Detection with Self-supervised Sampling. - Naveen Sahu, Mitul Gajera, Amit Chaudhary:
zkFi: Privacy-Preserving and Regulation Compliant Transactions using Zero Knowledge Proofs. - Linoy Tsaban, Apolinário Passos:
LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance. - Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. - Fariba Bakrani Balani, Luca Bergamaschi, Angeles Martinez, Masoud Hajarian:
Some preconditioning techniques for a class of double saddle point problems. - Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. - Zhong Li, Jiayang Shi, Matthijs van Leeuwen:
Graph Neural Network based Log Anomaly Detection and Explanation. - Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi:
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata. - Zelin Li, Pan Peng, Xianbin Zhu:
Massively Parallel Algorithms for the Stochastic Block Model. - Yiming Li, Yan Zhang, Amirreza Razmjoo, Sylvain Calinon:
Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation. - (Withdrawn) Shared Growth of Graph Neural Networks via Free-direction Knowledge Distillation.
- Aimin Li, Shaohua Wu, Sumei Sun, Jie Cao:
Goal-oriented Tensor: Beyond Age of Information Towards Semantics-Empowered Goal-Oriented Communications. - Meng Lan, Fu Rong, Lefei Zhang:
Referring Video Object Segmentation with Inter-Frame Interaction and Cross-Modal Correlation. - Josu Oca, Montserrat Hermo, Alexander Bolotov:
Revisiting the specification decomposition for synthesis based on LTL solvers. - Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim, Hyun-Suk Lee:
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning. - Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing:
Defending Against Malicious Behaviors in Federated Learning with Blockchain. - Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li:
Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Pengxiang Ma, Ningyu He, Yuhua Huang, Haoyu Wang, Xiapu Luo:
Abusing the Ethereum Smart Contract Verification Services for Fun and Profit. - Rémy Chaput, Olivier Boissier, Mathieu Guillermin:
Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms. - Shuo He, Lei Feng, Guowu Yang:
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. - Tooba M. Shaikh, Asha K. Dond:
Convergence of Adaptive FEM for Distributed Optimal Control Problems Governed by Stokes Equation. - Hananeh Aliee, Ferdinand Kapl, Soroor Hediyeh-Zadeh, Fabian J. Theis:
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity. - Huiyu Tan, Pengfei Gao, Taolue Chen, Fu Song, Zhilin Wu:
SAT-based Formal Fault-Resistance Verification of Cryptographic Circuits. - Silas Santiago Lopes Pereira, José Everardo Bessa Maia:
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views. - Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. - (Withdrawn) Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation.
- Islem Jarraya, Tarek M. Hamdani, Habib Chabchoub, Adel M. Alimi:
TinySiamese Network for Biometric Analysis. - Hemanth Karnati:
IoT-Based Air Quality Monitoring System with Machine Learning for Accurate and Real-time Data Analysis. - Qing Liu:
A novel multi-step method for the partial pole assignment in symmetric quadratic pencil with time delay. - Debaditya Roy, Dhruv Verma, Basura Fernando:
ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition. - Yutian Tang, Zhijie Liu, Zhichao Zhou, Xiapu Luo:
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation. - Qiao Jin, Won Kim, Qingyu Chen, Donald C. Comeau, Lana Yeganova, W. John Wilbur, Zhiyong Lu:
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval. - Xinyue Wang, Zhicheng Cai, Chenglei Peng:
X-MLP: A Patch Embedding-Free MLP Architecture for Vision. - Haoxin Tu, Zhide Zhou, He Jiang, Imam Nur Bani Yusuf, Yuxian Li, Lingxiao Jiang:
LLM4CBI: Taming LLMs to Generate Effective Test Programs for Compiler Bug Isolation. - Haoshu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Junbo Wang, Haoyi Zhu, Cewu Lu:
RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot. - Zihong Yan, Xiaoyi Wu, Zhuozhu Jian, Bin Lan, Xueqian Wang, Bin Liang:
RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure. - Batya Kenig:
Ranked Enumeration of Minimal Separators. - Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets. - Abel A. Reyes Angulo, Sidike Paheding:
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. - Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. - Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. - Angelos Gkikas, Dimitrios Letsios, Tomasz Radzik, Kathleen Steinhöfel:
New Bounds for Time-Dependent Scheduling with Uniform Deterioration. - Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao:
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers. - Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. - Kailai Li:
On Embedding B-Splines in Recursive State Estimation. - Lu Wan, Xiaobing Dai, Torsten Welfonder, Ekaterina Petrova, Pieter Pauwels:
Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification. - Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran:
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. - Stefan Walzer:
What if we tried Less Power? - Lessons from studying the power of choices in hashing-based data structures. - Anne Condon, Yuval Emek, Noga Harlev:
On the Runtime of Chemical Reaction Networks Beyond Idealized Conditions. - Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. - Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh:
More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning. - Ashutosh Hathidara, Lalit Pandey:
Neuro-Symbolic Sudoku Solver. - Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. - Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Accelerating Relational Database Analytical Processing with Bulk-Bitwise Processing-in-Memory. - Avish Vijayaraghavan, Cosmin Badea:
Minimum Levels of Interpretability for Artificial Moral Agents. - Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim:
Numerical Association Rule Mining: A Systematic Literature Review. - Yimin Tang, Zhongqiang Ren, Jiaoyang Li, Katia P. Sycara:
Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree. - Firat Kizilirmak, Berrin Yanikoglu:
CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset. - Sagar Manglani:
Real-time Vision-based Navigation for a Robot in an Indoor Environment. - Abdelrahman Sharafeldin, Nabil Imam, Hannah Choi:
Active Sensing with Predictive Coding and Uncertainty Minimization. - Abdelrahman Hosny, Sherief Reda:
Automatic MILP Solver Configuration By Learning Problem Similarities. - Aaron Butterworth, Gabriella Pizzuto, Leszek Pecyna, Andrew I. Cooper, Shan Luo:
Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. - Maria Strazzullo, Francesco Ballarin, Traian Iliescu, Claudio Canuto:
New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime. - Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen:
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. - Hao Shu:
SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption. - Praharsh Nanavati, Ranjitha Prasad:
CLIMAX: An exploration of Classifier-Based Contrastive Explanations. - Dami Choi, Yonadav Shavit, David Duvenaud:
Tools for Verifying Neural Models' Training Data. - Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. - Arnav Solanki, Zak Griffin, Purab Ranjan Sutradhar, Amlan Ganguly, Marc D. Riedel:
Neural network execution using nicked DNA and microfluidics. - Kalani R. Danas Rivera, Mason A. Peck:
Camera Calibration from a Single Imaged Ellipsoid: A Moon Calibration Algorithm. - Amir Barda, Yotam Erel, Yoni Kasten, Amit H. Bermano:
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections. - Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker, Lopamudra Praharaj:
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy. - Sharif Ahmed, Nasir U. Eisty:
Exploring the Advances in Identifying Useful Code Review Comments. - Yindi Yao, Xiong Li, Yan-Peng Cui, Jiajun Wang, Chen Wang:
Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture. - Yindi Yao, Xiong Li, Yan-Peng Cui, Lang Deng, Chen Wang:
Game Theory and Coverage Optimization Based Multihop Routing Protocol for Network Lifetime in Wireless Sensor Networks. - Yang Zhang, Huilin Pan, Yang Zhou, Mingying Li, Guodong Sun:
Efficient Visual Fault Detection for Freight Train Braking System via Heterogeneous Self Distillation in the Wild. - Hugo A. Akitaya, Andrei Gonczi, Diane L. Souvaine, Csaba D. Tóth, Thomas Weighill:
Reconfiguration of Polygonal Subdivisions via Recombination. - Koshi Oishi, Yasushi Amano, Tomohiko Jimbo:
Scratch Team of Single-Rotor Robots and Decentralized Cooperative Transportation with Robot Failure. - Deyi Ji, Feng Zhao, Hongtao Lu:
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. - Hao Xu, Yuntian Chen, Dongxiao Zhang:
Worth of knowledge in deep learning. - Sepehr Ghadami, Henry Shum:
Designing a Magnetic Micro-Robot for Transporting Filamentous Microcargo. - Setu Kumar Basak, Jamison Cox, Bradley Reaves, Laurie A. Williams:
A Comparative Study of Software Secrets Reporting by Secret Detection Tools. - Junting Pan, Keqiang Sun, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang, Hongsheng Li:
JourneyDB: A Benchmark for Generative Image Understanding. - Yushan Han, Hui Zhang, Honglei Zhang, Yidong Li:
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds. - Yajie Yu, Hanyu Li:
Tracking Tensor Ring Decompositions of Streaming Tensors. - Weishun Deng, Fan Yu, Zhe Wang, Dengbo He:
Evaluation and Control Model Design of Human Factors for Autonomous Driving Systems. - Koji Hashimoto, Tomoya Naito, Hisashi Naito:
Neural Polytopes. - Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, Bing Zhu:
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion. - Sheng Zhao, Qilong Yuan, Yibo Duan, Zhuoyue Chen:
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023. - Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Novelty and Lifted Helpful Actions in Generalized Planning. - Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian:
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input. - Rongen Dong:
Joint Power Allocation and Beamforming for Active IRS-aided Directional Modulation Network. - Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. - Md. Khairul Islam, Tyler Valentine, Royal Wang, Levi Davis, Matt Manner, Judy Fox:
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning. - Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Chaoxi Niu, Guansong Pang, Ling Chen:
Graph-level Anomaly Detection via Hierarchical Memory Networks. - Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang, Zhenchang Xing, Chunyang Chen:
Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps. - Wenting Tang, Xingxing Wei, Bo Li:
Structured Network Pruning by Measuring Filter-wise Interactions. - Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati:
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. - Yanhui Guo, Xiaolin Wu, Fangzhou Luo:
Learning Noise-Resistant Image Representation by Aligning Clean and Noisy Domains. - Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell:
Hierarchical Open-vocabulary Universal Image Segmentation. - Xiang Wei, Yufeng Chen, Ning Cheng, Xingyu Cui, Jinan Xu, Wenjuan Han:
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction. - Ning Lin, Shaocong Wang, Yi Li, Bo Wang, Shuhui Shi, Yangu He, Woyu Zhang, Yifei Yu, Yue Zhang, Xiaojuan Qi, Xiaoming Chen, Hao Jiang, Xumeng Zhang, Peng Lin, Xiaoxin Xu, Qi Liu, Zhongrui Wang, Dashan Shang, Ming Liu:
Resistive memory-based zero-shot liquid state machine for multimodal event data learning. - Weimin Tan, Siyuan Chen, Bo Yan:
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation. - Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai:
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds. - Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. - Yujia Xiao, Shaofei Zhang, Xi Wang, Xu Tan, Lei He, Sheng Zhao, Frank K. Soong, Tan Lee:
ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading. - Riccardo Dondi, Manuel Lafond:
An FTP Algorithm for Temporal Graph Untangling. - Teun van der Weij, Simon Lermen, Leon Lang:
Evaluating Shutdown Avoidance of Language Models in Textual Scenarios. - Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, Clayton Miller:
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces. - Fengyuan Liu, Bedoor K. AlShebli, Talal Rahwan:
Editors handle their collaborators' submissions despite explicit policies. - Paul Fischer, Emil Lundt Larsen, Carsten Witt:
First Steps towards a Runtime Analysis of Neuroevolution. - Arne Duyver, Wouter Groeneveld, Kris Aerts:
Does Interdisciplinary Creative Coding Boost Creativity? A Mixed Methods Approach. - Julian Sarpe, Andreas Klaedtke, Herbert De Gersem:
A Parallel-In-Time Adjoint Sensitivity Analysis for a B6 Bridge-Motor Supply Circuit. - Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling. - Mehrdad Ghadiri:
On Symmetric Factorizations of Hankel Matrices. - (Withdrawn) Review helps learn better: Temporal Supervised Knowledge Distillation.
- Albert Piwonski, Julien Dular, Rodrigo Silva Rezende, Rolf Schuhmann:
Finite Element Modeling of Power Cables using Coordinate Transformations. - Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang:
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. - Qianni Cao, Chen Shen:
A Data-driven Under Frequency Load Shedding Scheme in Power Systems. - Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. - Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views. - Biswajit Khara, Kumar Saurabh, Robert Dyja, Anupam Sharma, Baskar Ganapathysubramanian:
Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization. - Akshay Mehra, Yunbei Zhang, Jihun Hamm:
Analysis of Task Transferability in Large Pre-trained Classifiers. - (Withdrawn) Sufficient Conditions on Bipartite Consensus of Weakly Connected Matrix-weighted Networks.
- Luis Miguel Vieira da Silva, Aljosha Köcher, Milapji Singh Gill, Marco Weiss, Alexander Fay:
Toward a Mapping of Capability and Skill Models using Asset Administration Shells and Ontologies. - Shengbo Wang, Ke Li, Yin Yang, Yuting Cao, Tingwen Huang, Shiping Wen:
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning. - Muhammad Fahad:
Ontology-based Mediation with Quality Criteria. - Benedikt Bollig, Arnaud Sangnier, Olivier Stietel:
On the Satisfiability of Local First-Order Logics with Data. - Palina Salanevich:
Injectivity of Multi-window Gabor Phase Retrieval. - Agnese Chiatti, Riccardo Bertoglio, Nico Catalano, Matteo Gatti, Matteo Matteucci:
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts. - Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Billing, Martin Magnusson, Kai O. Arras, Achim J. Lilienthal:
Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. - Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann, Christian Theobalt:
VINECS: Video-based Neural Character Skinning. - Mirhan Ürkmez, Carsten Skovmose Kallesøe, Jan Dimon Bendtsen, John Leth:
Scenario Based Cost Optimization of Water Distribution Networks Powered by Grid-Connected Photovoltaic Systems. - Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu:
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes. - Fabian Göttsch, Noboru Osawa, Issei Kanno, Takeo Ohseki, Giuseppe Caire:
Fairness Scheduling in User-Centric Cell-Free Massive MIMO Wireless Networks. - Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. - Guilherme Dias da Fonseca, Yan Gerard, Bastien Rivier:
Short Flip Sequences to Untangle Segments in the Plane. - Gilles Dowek, Gérard Huet, Benjamin Werner:
On the Definition of the Eta-long Normal Form in Type Systems of the Cube. - Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. - Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing:
OpenSiteRec: An Open Dataset for Site Recommendation. - (Withdrawn) CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery.
- Yuying Zou, Haotian Li, Yunfan Ren, Wei Xu, Yihang Li, Yixi Cai, Shenji Zhou, Fu Zhang:
Perch a quadrotor on planes by the ceiling effect. - Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. - Bo Jiang, Tianchi Zhao, Ming Li:
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy. - Xingyu Liu, Juan Chen, Quan Wen:
A Survey on Graph Classification and Link Prediction based on GNN. - Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. - Jaydip Sen:
Cryptography and Key Management Schemes for Wireless Sensor Networks. - Chao Liang, Zongxin Yang, Linchao Zhu, Yi Yang:
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition. - Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam:
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding. - Wrya K. Kadir, Hsuan-Yin Lin, Eirik Rosnes:
Efficient Interpolation-Based Decoding of Reed-Solomon Codes. - Nikolaos Lykousas, Constantinos Patsakis:
Tales from the Git: Automating the detection of secrets on code and assessing developers' passwords choices. - Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Tianyi Zhou:
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation. - Xiaoxin Zhang, Martin Brandt, Xiaoye Tong, Xiaowei Tong, Wenmin Zhang, Florian Reiner, Sizhuo Li, Feng Tian, Yuemin Yue, Weiqi Zhou, Bin Chen, Xiangming Xiao, Rasmus Fensholt:
Mega-cities dominate China's urban greening. - Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil:
Fixing confirmation bias in feature attribution methods via semantic match. - Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz:
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. - Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang, Jiacun Wang:
Enhancing the Robustness of QMIX against State-adversarial Attacks. - Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan:
Contextual Prompt Learning for Vision-Language Understanding. - Vinoth Nandakumar, Arush Tagade, Tongliang Liu:
Why do CNNs excel at feature extraction? A mathematical explanation. - Sergio Burdisso, Esaú Villatoro-Tello, Srikanth R. Madikeri, Petr Motlícek:
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews. - E. Hurwitz, N. Peace, G. Cevora:
Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning. - Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. - Jorge Martinez-Gil:
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution. - Mengmeng Liu, Shuangyang Li, Baoming Bai, Giuseppe Caire:
Reduced-Complexity Cross-Domain Iterative Detection for OTFS Modulation via Delay-Doppler Decoupling. - Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting:
Learning Differentiable Logic Programs for Abstract Visual Reasoning. - Ellery Smith, Rahel Paloots, Dimitris Giagkos, Michael Baudis, Kurt Stockinger:
Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines. - Kemal Oksuz, Tom Joy, Puneet K. Dokania:
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. - Yunyou Huang, Xianglong Guan, Xiangjiang Lu, Xiaoshuang Liang, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan:
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis. - Oscar Alberto Juiña Quilachamín, Nicolás Navarro-Guerrero:
A Biomimetic Fingerprint for Robotic Tactile Sensing. - Germán Arroyo, Domingo Martín, Tobias Isenberg:
Interpolation of Point Distributions for Digital Stippling. - Uladzislau Kapustsin, Utku Kaya, Thomas Richter:
A hybrid finite element/neural network solver and its application to the Poisson problem. - Gunther Bidlingmaier:
Greedy Minimum-Energy Scheduling. - Isser Kadusale, Gautam Gala, Gerhard Fohler:
Energy-aware Time- and Event-triggered KVM Nodes. - Felix Härer:
A Cross-Chain Query Language for Application-Level Interoperability Between Open and Permissionless Blockchains. - Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour, Laurent Clavier:
Towards Explainable AI for Channel Estimation in Wireless Communications. - Kang Yi, Jing Xu, Xiao Jin, Fu Guo, Yanfeng Wu:
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection. - Mohammed Gharib, Bryce Hopkins, Jackson Murrin, Andre Koka, Fatemeh Afghah:
5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas. - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search. - Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them. - Yunyou Huang, Xiaoshuang Liang, Xiangjiang Lu, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Fan Zhang, Guoxin Kang, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan:
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis. - Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du:
REAL: A Representative Error-Driven Approach for Active Learning. - Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. - Elfarouk Harb:
Fishing For Better Constants: The Prophet Secretary Via Poissonization. - Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. - Lina Bariah, Hikmet Sari, Mérouane Debbah:
Digital Twin-Empowered Communications: A New Frontier of Wireless Networks. - Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Wenhui Xi, Yi Pan:
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder. - Ralf Bartho, Katja Thoemmes, Christoph Redies:
Predicting beauty, liking, and aesthetic quality: A comparative analysis of image databases for visual aesthetics research. - Emin Karayel:
An embarrassingly parallel optimal-space cardinality estimation algorithm. - Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk:
Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks. - Zhiguo Ding, Robert Schober, Bayan S. Sharif, H. Vincent Poor:
NOMA-Assisted Grant-Free Transmission: How to Design Pre-Configured SNR Levels? - Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han:
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning. - Arindam Biswas, Johannes Meintrup:
Kernelizing Problems on Planar Graphs in Sublinear Space and Polynomial Time. - Yonglin Li, Jing Zhang, Xiao Teng, Long Lan:
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation. - Delong Chen, Jianfeng Liu, Wenliang Dai, Baoyuan Wang:
Visual Instruction Tuning with Polite Flamingo. - Dongyang Yu, Yunshi Xie, Wangpeng An, Li Zhang, Yufeng Yao:
Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach. - Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini, Andrea Ciardiello, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Cristian Rossi, Francesco Simula, Matteo Turisini, Piero Vicini:
APEIRON: composing smart TDAQ systems for high energy physics experiments. - Lei Zhang, Pingwen Zhang, Xiangcheng Zheng:
Error estimate for semi-implicit method of sphere-constrained high-index saddle dynamics. - Lala Shakti Swarup Ray, Bo Zhou, Lars Krupp, Sungho Suh, Paul Lukowicz:
SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms. - Seonghui Min, Won-Ki Jeong:
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. - Arthur Hemmer, Jérôme Brachat, Mickaël Coustaty, Jean-Marc Ogier:
Estimating Post-OCR Denoising Complexity on Numerical Texts. - C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás:
Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data. - Liangliang Yao, Haobo Zuo, Guangze Zheng, Changhong Fu, Jia Pan:
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation. - Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. - Jun Sur Richard Park, Xueyu Zhu:
A non-intrusive bi-fidelity reduced basis method for time-independent problems. - Eugenio Moro, Francesco Linsalata, Maurizio Magarini, Umberto Spagnolini, Antonio Capone:
Advancing O-RAN to Facilitate Intelligence in V2X. - Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model. - Nikolaos Athanasios Anagnostopoulos, Alexander Braml, Nico Mexis, Florian Frank, Simon Böttger, Martin Hartmann, Sascha Hermann, Elif Bilge Kavun, Stefan Katzenbeisser, Tolga Arul:
Practical Non-Invasive Probing Attacks Against Novel Carbon-Nanotube-Based Physical Unclonable Functions. - Brian S. Mitchell:
Cloud Native Software Engineering. - Isja Mannens, Jesper Nederlof:
A Fine-Grained Classification of the Complexity of Evaluating the Tutte Polynomial on Integer Points Parameterized by Treewidth and Cutwidth. - Xiang Ji, Jiaxin Wei, Yifu Wang, Huiliang Shang, Laurent Kneip:
Cross-modal Place Recognition in Image Databases using Event-based Sensors. - Yucheng Shi, Kaixiong Zhou, Ninghao Liu:
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. - Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi:
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. - Siming Deng, Junning Liu, Bibekananda Datta, Aishwarya Pantula, David H. Gracias, Thao D. Nguyen, Brian A. Bittner, Noah J. Cowan:
A Data-Driven Approach to Geometric Modeling of Systems with Low-Bandwidth Actuator Dynamics. - Dietmar Berwanger, Laurent Doyen, Thomas Soullard:
Synthesising Full-Information Protocols. - Marija Ivanovska, Vitomir Struc, Janez Pers:
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models. - Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. - Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer:
Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score. - Oscar de Groot, Laura Ferranti, Dariu Gavrila, Javier Alonso-Mora:
Scenario-Based Motion Planning with Bounded Probability of Collision. - Fnu Suya, Xiao Zhang, Yuan Tian, David Evans:
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? - Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Analyzing Multiple-Choice Reading and Listening Comprehension Tests. - Sara Ayhan:
Meaning and identity of proofs in a bilateralist setting: A two-sorted typed lambda-calculus for proofs and refutations. - Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, Michael J. Wooldridge:
Some challenges of calibrating differentiable agent-based models. - Kevin Kasa, Graham W. Taylor:
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data. - Rita Pucci, Niki Martinel:
UW-ProCCaps: UnderWater Progressive Colourisation with Capsules. - Sándor P. Fekete, Dominik Krupke, Michael Perk, Christian Rieck, Christian Scheffer:
The Lawn Mowing Problem: From Algebra to Algorithms. - Alexander Fengler, Alejandro Lancho, Yury Polyanskiy:
Coded Orthogonal Modulation for the Multi-Antenna Multiple-Access Channel. - Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa:
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion. - Brian Parkinson, Adam Wolf, Péter Galambos, Károly Széll:
Assessment of the Utilization of Quadruped Robots in Pharmaceutical Research and Development Laboratories. - Tim Hageman, Emilio Martínez-Pañeda:
A phase field-based framework for electro-chemo-mechanical fracture: crack-contained electrolytes, chemical reactions and stabilisation. - Argyrios Deligkas, Eduard Eiben, Gregory Z. Gutin, Philip R. Neary, Anders Yeo:
Complexity Dichotomies for the Maximum Weighted Digraph Partition Problem. - Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato:
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes. - Patrick Diehl, Steven R. Brandt, Max Morris, Nikunj Gupta, Hartmut Kaiser:
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. - Ana Llorens, Federico Simonetta, Martín Serrano, Álvaro Torrente:
musif: a Python package for symbolic music feature extraction. - Federico Rollo, Gennaro Raiola, Andrea Zunino, Nikolaos G. Tsagarakis, Arash Ajoudani:
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization. - Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia:
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. - Marco Dijkslag, Marc Damie, Florian Hahn, Andreas Peter:
Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes. - Ruiyun Xu, Yue Feng, Hailiang Chen:
ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience. - Qinyong Wang, Zhenxiang Gao, Rong Xu:
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. - Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge:
SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions. - Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil:
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. - Shengyi Gao, Zhe Chen, Guo Chen, Wenhai Wang, Tong Lu:
AVSegFormer: Audio-Visual Segmentation with Transformer. - Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis. - Abha Naik, Esra Yeniaras, Gerhard Hellstern, Grishma Prasad, Sanjay Kumar Lalta Prasad Vishwakarma:
From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance. - Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban:
A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. - Ini Oguntola, Joseph Campbell, Simon Stepputtis, Katia P. Sycara:
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning. - Dhaminda B. Abeywickrama, Nguyen Hao Le, Greg Chance, Peter D. Winter, Arianna Manzini, Alix J. Partridge, Jonathan Ives, John Downer, Graham Deacon, Jonathan Rossiter, Kerstin Eder, Shane Windsor:
Soft Gripping: Specifying for Trustworthiness. - Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. - Lauren E. Conger, Franca Hoffmann, Eric Mazumdar, Lillian J. Ratliff:
Coupled Gradient Flows for Strategic Non-Local Distribution Shift. - Vítor Fortes Rey, Dominique Nshimyimana, Paul Lukowicz:
Don't freeze: Finetune encoders for better Self-Supervised HAR. - Sanjoy Dasgupta, Geelon So:
Online nearest neighbor classification. - Markus Utke, Ulrike Schmidt-Kraepelin:
Anonymous and Copy-Robust Delegations for Liquid Democracy. - Bruno Rodrigues, Ivone Amorim, Ivan Costa, Alexandra Mendes:
Patient-centric health data sovereignty: an approach using Proxy re-encryption. - Zhengdao Chen:
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space. - Kulin Shah, Sitan Chen, Adam R. Klivans:
Learning Mixtures of Gaussians Using the DDPM Objective. - Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ilkan Ceylan:
PlanE: Representation Learning over Planar Graphs. - Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li:
SAMAug: Point Prompt Augmentation for Segment Anything Model. - Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora:
Trainable Transformer in Transformer. - Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim:
Squeezing Large-Scale Diffusion Models for Mobile. - Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Segment Anything Meets Point Tracking. - Lorenz Richter, Julius Berner:
Improved sampling via learned diffusions. - Carlos Rodríguez-Pardo, Konstantinos Kazatzis, Jorge Lopez-Moreno, Elena Garces:
NeuBTF: Neural fields for BTF encoding and transfer. - Yuxiang Zhang, Hongwen Zhang, Liangxiao Hu, Hongwei Yi, Shengping Zhang, Yebin Liu:
Real-time Monocular Full-body Capture in World Space via Sequential Proxy-to-Motion Learning. - Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George:
Schema-learning and rebinding as mechanisms of in-context learning and emergence. - Stephen Yang:
Predictive Patentomics: Forecasting Innovation Success and Valuation with ChatGPT. - Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. - Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor:
Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning. - Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao:
Confidence Ranking for CTR Prediction. - Mattia Giovanni Campana, Franca Delmastro:
Recommender Systems for Online and Mobile Social Networks: A survey. - Zhibai Jia:
Multi-Dialectal Representation Learning of Sinitic Phonology. - Giampaolo Bella, Gianpietro Castiglione, Daniele Francesco Santamaria:
An automated method for the ontological representation of security directives. - Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. - Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu:
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search. - Yutian Sun, Hai Zhuge:
Discovering Patterns of Definitions and Methods from Scientific Documents. - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. - Dongrun Cai, Xue Chen, Pan Peng:
Effective Resistances in Non-Expander Graphs. - Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, Raza Imam, Faiyaz Doctor, Yassine Himeur, Amir Hussain, Abbes Amira:
Filter Bubbles in Recommender Systems: Fact or Fallacy - A Systematic Review. - Bushra Sabir, Muhammad Ali Babar, Sharif Abuadbba:
Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT). - Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu, Francis Iannacci, Jinjin Zhao:
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport. - Sangrok Lee, Ha Young Kim:
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting. - Chenfei Kang, Peiling Lu, Botao Yu, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian:
EmoGen: Eliminating Subjective Bias in Emotional Music Generation. - Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. - George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. - Neha Sahipjohn, Neil Kumar Shah, Vishal Tambrahalli, Vineet Gandhi:
RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations. - Mohammad Arif Ul Alam:
Internet of Things Fault Detection and Classification via Multitask Learning. - Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud, Julia Gusak, Olivier Beaumont:
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. - Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. - Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo:
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction. - Mayank Goel, Venktesh V, Vikram Goyal:
MWPRanker: An Expression Similarity Based Math Word Problem Retriever. - Maximilian Jerdee, Alec Kirkley, M. E. J. Newman:
Normalized mutual information is a biased measure for classification and community detection. - Benjamin Bergougnoux, Vera Chekan, Robert Ganian, Mamadou Moustapha Kanté, Matthias Mnich, Sang-il Oum, Michal Pilipczuk, Erik Jan van Leeuwen:
Space-Efficient Parameterized Algorithms on Graphs of Low Shrubdepth. - Antonio-Jesús Banegas-Luna, Carlos Martinez-Cortes, Horacio Pérez Sánchez:
Fighting the disagreement in Explainable Machine Learning with consensus. - Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov:
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems. - Cullen Haselby, Santhosh Karnik, Mark A. Iwen:
Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. - Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, Rezvaneh Rezapour:
The Evolution of Substance Use Coverage in the Philadelphia Inquirer. - Demétrio F. Boeira, Eder J. Scheid, Muriel Figueredo Franco, Luciano Zembruzki, Lisandro Z. Granville:
Traffic Centralization and Digital Sovereignty: An Analysis Under the Lens of DNS Servers. - Aras Bacho, Holger Boche, Gitta Kutyniok:
Reliable AI: Does the Next Generation Require Quantum Computing? - Igor Rystsov, Marek Szykula:
Primitive Automata that are Synchronizing. - Dipankar Maity:
Efficient Communication for Pursuit-Evasion Games with Asymmetric Information. - Ruchik Mishra, Karla Conn Welch:
Social Impressions of the NAO Robot and its Impact on Physiology. - Moncef Benaicha, David Thulke, M. A. Tugtekin Turan:
Exploring Spoken Named Entity Recognition: A Cross-Lingual Perspective. - Sakib Mahmud Khan, M. Sabbir Salek, Vareva Harris, Gurcan Comert, Eric A. Morris, Mashrur Chowdhury:
Autonomous Vehicles for All? - Iman Sharifi, Aria Alasty:
Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control. - Iman Sharifi, Mustafa Yildirim, Saber Fallah:
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach. - Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel:
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. - Hisao Tamaki:
A contraction-recursive algorithm for treewidth. - Amaury Trujillo, Clara Bacciu:
Toward Blockchain-based Fashion Wearables in the Metaverse: the Case of Decentraland. - Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
Semantic enrichment towards efficient speech representations. - Jonathan Becktor, Frederik Schöller, Evangelos Boukas, Lazaros Nalpantidis:
Robust Uncertainty Estimation for Classification of Maritime Objects. - Gun Pinyo:
Twisted Cubes and their Applications in Type Theory. - Parinya Chalermsook, Fedor V. Fomin, Thekla Hamm, Tuukka Korhonen, Jesper Nederlof, Ly Orgo:
Polynomial-time Approximation of Independent Set Parameterized by Treewidth. - Imre Fekete, Lajos Lóczi:
Linear multistep methods with repeated global Richardson. - Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang:
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. - Amartya Purushottam, Yeongtae Jung, Christopher Xu, João Ramos:
Dynamic Mobile Manipulation via Whole-Body Bilateral Teleoperation of a Wheeled Humanoid. - Dominik Bork, Philip Langer, Tobias Ortmayr:
A Vision for Flexibile GLSP-based Web Modeling Tools. - Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. - Aniket Gupta, Yiming Xie, Hanumant Singh, Huaizu Jiang:
Direct Superpoints Matching for Fast and Robust Point Cloud Registration. - Shuo Chen, Ning Yang, Meng Zhang, Jun Wang:
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. - Andrej Rode, Wintana Araya Gebrehiwot, Shrinivas Chimmalgi, Laurent Schmalen:
Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation. - Shreya Havaldar, Sunny Rai, Bhumika Singhal, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar:
Multilingual Language Models are not Multicultural: A Case Study in Emotion. - Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer:
Efficient Determination of Safety Requirements for Perception Systems. - Matthew Raffel, Drew Penney, Lizhong Chen:
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. - Ritu Yadav, Andrea Nascetti, Yifang Ban:
A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series. - Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. - Matthew Raffel, Lizhong Chen:
Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. - Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, Gota Morota:
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms. - Owen O'Neill, Fintan Costello:
Systematic Bias in Sample Inference and its Effect on Machine Learning. - Yijiang Chen, Chengdong Liang, Xiao-Lei Zhang:
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays. - Javier de la Rosa, Álvaro Pérez Pozo, Salvador Ros, Elena González-Blanco:
ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis. - Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. - Negin Bagherpour, bbas Mohammadiyan:
A New Learning Approach for Noise Reduction. - Chandrika Kamath, Juliette S. Franzman, Brian H. Daub:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size. - Niranda Perera, Arup Kumar Sarker, Mills Staylor, Gregor von Laszewski, Kaiying Shan, Supun Kamburugamuve, Chathura Widanage, Vibhatha Abeykoon, Thejaka Amíla Kanewela, Geoffrey C. Fox:
In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes. - Chandrika Kamath, Juliette S. Franzman:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data. - Amirhossein Farzam, Shashank Shekhar, Isaac Mehlhaff, Marco Morucci:
Multi-Task Learning Improves Performance In Deep Argument Mining Models. - Yat Long Lo, Biswa Sengupta, Jakob N. Foerster, Michael Noukhovitch:
Learning to Communicate using Contrastive Learning. - Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. - Rohan Madhwal, Johan Pouwelse:
Web3Recommend: Decentralised recommendations with trust and relevance. - Laurentius Leonard, Shunsuke Inenaga, Hideo Bannai, Takuya Mieno:
Sliding suffix trees simplified. - Daniel Cussen, Jeffrey D. Ullman:
Matrix Multiplication Using Only Addition. - Shuya Nagayasu, Sumio Watanabe:
Free energy of Bayesian Convolutional Neural Network with Skip Connection. - Kuntal Kumar Pal, Michael Gamon, Nirupama Chandrasekaran, Silviu Cucerzan:
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users. - Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. - Tristan Deleu, Yoshua Bengio:
Generative Flow Networks: a Markov Chain Perspective. - Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem:
Consistent Multimodal Generation via A Unified GAN Framework. - Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. - Yuta Fujishige, Yuki Tsujimaru, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Linear-time Computation of DAWGs, Symmetric Indexing Structures, and MAWs for Integer Alphabets. - Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem:
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. - Rui Wang, Zhiming Zhou, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao, Kaiwen Li:
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks. - Alan Demlow, Michael Neilan:
A tangential and penalty-free finite element method for the surface Stokes problem. - Jiacheng He, Gang Wang, Zhenyu Feng, Shan Zhong, Bei Peng:
Cubature Kalman filter Based on generalized minimum error entropy with fiducial point. - Chen Qiu, Yulin Wu, Weixin Huang, Botao Liu, Shaohuai Shi, Xuan Wang:
A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games. - Jiacheng He, Gang Wang, Kun Zhang, Shan Zhong, Bei Peng, Min Li:
Quantized generalized minimum error entropy for kernel recursive least squares adaptive filtering. - Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. - Zizhuo Li, Jiayi Ma:
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network. - Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. - Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
Causal Reinforcement Learning: A Survey. - Brendan King, Jeffrey Flanigan:
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. - Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia:
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall:
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. - Juntao Yang:
Hybrid two-level MCMC for Bayesian Inverse Problems. - Helen Carson, Jason J. Ford, Michael Milford:
Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition. - (Withdrawn) AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation.
- Tatsuya Ishibashi, Kosuke Ono, Noriyuki Kugo, Yuji Sato:
Technical Report for Ego4D Long Term Action Anticipation Challenge 2023. - Chuanyu Pan, Guowei Yang, Taijiang Mu, Yu-Kun Lai:
Generating Animatable 3D Cartoon Faces from Single Portraits. - Pavan Kumar Sharma, Pranamesh Chakraborty:
A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding. - Zhuoran Li, Ling Pan, Longbo Huang:
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. - Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. - Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen:
PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. - Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Claudio Canuto, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes. - Peixun Long, Jianjun Zhao:
Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs. - Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun:
Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting. - Ruben Caraballo, Chansophea Wathanak In, Alberto F. Martín, Ricardo Ruiz-Baier:
Robust finite element methods and solvers for the Biot-Brinkman equations in vorticity form. - Junjie Wu, Dit-Yan Yeung:
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. - Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. - Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez:
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. - Nazmul Islam, Seokjoo Shin:
Review of Deep Learning-based Malware Detection for Android and Windows System. - Hsueh-I Lu:
An Optimal Multiple-Class Encoding Scheme for a Graph of Bounded Hadwiger Number. - Jacob J. Relle, Samuel Voß, Ramesch Raschidi, Regine Nessel, Johannes Görich, Mark Oliver Wielpütz, Thorsten Löffler, Vincent Heuveline, Friedrich Kallinowski, Philipp D. Lösel:
HEDI: First-Time Clinical Application and Results of a Biomechanical Evaluation and Visualisation Tool for Incisional Hernia Repair. - Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram:
On Evaluating and Mitigating Gender Biases in Multilingual Settings. - Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. - Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin:
Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction. - Yanshi Sun, Zhiguo Ding:
A Fine Grained Stochastic Geometry Based Analysis on LEO Satellite Communication Systems. - Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. - Sunder Ali Khowaja, Kapal Dev, Syed Muhammad Anwar, Marius George Linguraru:
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT. - (Withdrawn) LPN: Language-guided Prototypical Network for few-shot classification.
- Constantinos Varsos, Giorgos Flouris, Marina Bitsaki:
Noisy Games: A Study on the Effect of Noise on Game Specifications. - Yanshi Sun, Wei Cao, Momiao Zhou, Zhiguo Ding:
New Designs of Robust Uplink NOMA in Cognitive Radio Inspired Communications. - Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang:
Deep Attention Q-Network for Personalized Treatment Recommendation. - Joonkyo Shim, Hyunsoo Yoon:
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack. - Wassim Hamidouche, Lina Bariah, Mérouane Debbah:
Immersive Media and Massive Twinning: Advancing Towards the Metaverse. - Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. - Dongkai Zhou, Jing Guo, Siqiang Wang, Zhong Zheng, Zesong Fei, Weijie Yuan, Xinyi Wang:
OTFS-based Robust MMSE Precoding Design in Over-the-air Computation. - Asim Khan, Taimur Hassan, Muhammad Shafay, Israa Fahmy, Naoufel Werghi, Lakmal D. Seneviratne, Irfan Hussain:
Convolutional Transformer for Autonomous Recognition and Grading of Tomatoes Under Various Lighting, Occlusion, and Ripeness Conditions. - Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker, Scott J. Shapiro, Ruzica Piskac, Bettina Könighofer:
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty. - Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations. - Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernández Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene:
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study. - Jian Guan, Minlie Huang:
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. - Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros:
Degradation-aware data-enabled predictive control of energy hubs. - Cédric Picron, Tinne Tuytelaars:
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity. - Yikang Wang, Hiromitsu Nishizaki, Ming Li:
Pretraining Conformer with ASR or ASV for Anti-Spoofing Countermeasure. - Hussam Ghanem, Massinissa Atmani, Christophe Cruz:
Knowledge Graph for NLG in the context of conversational agents. - Joshua Petrack, David Soloveichik, David Doty:
Thermodynamically Driven Signal Amplification. - Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao:
Separated RoadTopoFormer. - Sándor Szedmák, Riikka Huusari, Tat Hong Duong Le, Juho Rousu:
Scalable variable selection for two-view learning tasks with projection operators. - Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. - Shuyi Wang, Guido Zuccon:
An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. - Muhammad Fahad, Jérôme Darmont:
An Ontology-based Collaborative Business Intelligence Framework. - Vu-Duc Ngo, Tuan-Cuong Vuong, Thien Van Luong, Hung Tran:
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction. - Paul Stoewer, Achim Schilling, Andreas K. Maier, Patrick Krauss:
Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings. - Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi, Gabriele Facciolo:
Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation. - (Withdrawn) With Trail to Follow: Measurements of Real-world Non-fungible Token Phishing Attacks on Ethereum.
- Franco Marchesoni-Acland, Gabriele Facciolo:
IAdet: Simplest human-in-the-loop object detection. - Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves:
Learning Lie Group Symmetry Transformations with Neural Networks. - Frédéric Marazzato:
Computation of the deformation of a planar kirigami. - Wei Zhang, Ping Zhang, Jian Dong, Yongkang Wang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising. - Yingji Li, Mengnan Du, Xin Wang, Ying Wang:
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. - Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu:
Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework. - Bin Li, Carsten Jentsch, Emmanuel Müller:
Prototypes as Explanation for Time Series Anomaly Detection. - Nikita Remnev, Sergei Obiedkov, Ekaterina V. Rakhilina, Ivan Smirnov, Anastasia Vyrenkova:
A Language Model for Grammatical Error Correction in L2 Russian. - Zitao Chen, Karthik Pattabiraman:
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. - Paul Kremer, Hriday Bavle, José Luis Sánchez-López, Holger Voos:
S-Nav: Semantic-Geometric Planning for Mobile Robots. - Zhenwei Zhang, Xin Wang, Yuantao Gu:
SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting. - Olivier Lindamulage De Silva, Vineeth Satheeskumar Varma, Ming Cao, Constantin Morarescu, Samson Lasaulce:
A Stackelberg viral marketing design for two competing players. - Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing. - Andrey E. Polyakov, Miroslav Krstic:
Fixed-time Stabilization with a Prescribed Constant Settling Time by Static Feedback for Delay-Free and Input Delay Systems. - Mert Nakip, Onur Çopur, Emrah Biyik, Cüneyt Güzelis:
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. - Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. - Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang:
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. - Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. - Gregor Betz, Vera Chekan, Tamara Mchedlidze:
Heuristic Algorithms for the Approximation of Mutual Coherence. - Dingjun Wu, Jing Zhang, Xinmei Huang:
Chain of Thought Prompting Elicits Knowledge Augmentation. - Andreas Göldi, Roman Rietsche:
Insert-expansions for Tool-enabled Conversational Agents. - Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. - Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang:
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation. - Kaiqi Zhang, Zixuan Zhang, Minshuo Chen, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang:
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks. - Zeev Nutov:
Improved approximation algorithms for some capacitated k edge connectivity problems. - Jonas-Dario Troles, Richard Nieding, Sonia Simons, Ute Schmid:
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data. - Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. - Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Paula Delgado-Santos, Giuseppe Stragapede, Julian Fiérrez, Javier Ortega-Garcia:
Exploring Transformers for On-Line Handwritten Signature Verification. - Ye Liu, Stefan Ultes, Wolfgang Minker, Wolfgang Maier:
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues. - Prabin Sharma, Joanna C. Justus, Govinda R. Poudel:
Sensors and Systems for Monitoring Mental Fatigue: A systematic review. - Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. - Javier de la Rosa, Rolv-Arild Braaten, Per Egil Kummervold, Freddy Wetjen, Svein Arne Brygfjeld:
Boosting Norwegian Automatic Speech Recognition. - Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. - Dimosthenis Antypas, José Camacho-Collados:
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation. - Guy Berger, Aviv Navon, Ethan Fetaya:
Learning Discrete Weights and Activations Using the Local Reparameterization Trick. - Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou:
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services. - Maryam Bahrani, Pranav Garimidi, Tim Roughgarden:
Transaction Fee Mechanism Design with Active Block Producers. - Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson:
Online Learning and Solving Infinite Games with an ERM Oracle. - Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo:
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. - Rohan Jinturkar:
Racial Bias Trends in the Text of US Legal Opinions. - Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. - Róger W. P. da Silva, Diego Eckhard:
Data-driven load disturbance rejection. - Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data. - Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang:
Augment Features Beyond Color for Domain Generalized Segmentation. - Peng Tang, Yang Nan, Tobias Lasser:
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images. - Tyler Kastner, Murat A. Erdogdu, Amir-massoud Farahmand:
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning. - Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam:
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. - Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein:
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework. - Thanasis Georgiadis, Eleni Tzirita Zacharatou, Nikos Mamoulis:
APRIL: Approximating Polygons as Raster Interval Lists. - Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko:
On the Constrained Time-Series Generation Problem. - Elia Rizzetto, Arcangelo Massari, Ivan Heibi, Silvio Peroni:
A Prototype for a Controlled and Valid RDF Data Production Using SHACL. - Khoi D. Ly, Chong-Chan Kim, Robert F. Shepherd:
Data Transmission and Communication via Electrolytic Flow Channel. - Feng Zhou, Antonio Cicone, Haomin Zhou:
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network. - Huan Li, Jingxuan Huang, Zesong Fei:
Mutual Information Analysis for Factor Graph-based MIMO Iterative Detections through Error Functions. - Jianhai Zhang, Tonghua Wan, M. Ethan MacDonald, Bijoy K. Menon, Aravind Ganesh, Qiu Wu:
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT. - Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir:
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data. - Teddy Lazebnik, Dan Gorlitsky:
Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law? - Geoffrey Beck, David Lannes, Lisl Weynans:
A numerical method for wave-structure interactions in the Boussinesq regime. - Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo:
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. - Alexey Protopopov:
K-complex Detection Using Fourier Spectrum Analysis In EEG. - Sofia Strukova, Rubén Gaspar Marco, José A. Ruipérez-Valiente, Félix Gómez Mármol:
Identifying Professional Photographers Through Image Quality and Aesthetics in Flickr. - Lucas Mahler, Qi Wang, Julius Steiglechner, Florian Birk, Samuel Heczko, Klaus Scheffler, Gabriele Lohmann:
Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification. - Saeid K. Dehkordi, Peter Jung, Philipp Walk, Dennis Wieruch, Kai Heuermann, Giuseppe Caire:
Integrated Sensing and Communication with MOCZ Waveform. - Shashank A. Deshpande, Ankur A. Kulkarni:
The Quantum Advantage in Binary Teams and the Coordination Dilemma: Part I. - Guangzhi Sun, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data. - Shashank A. Deshpande, Ankur A. Kulkarni:
The Quantum Advantage in Binary Teams and the Coordination Dilemma: Part II. - Darlington Akogo, Issah Abubakari Samori, Cyril Akafia, Harriet Fiagbor, Andrews Kangah, Donald Kwame Asiedu, Kwabena Fuachie, Luis Oala:
Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana. - Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
On the Capacity of Private Nonlinear Computation for Replicated Databases. - Jan Rooduijn, Yde Venema:
Focus-style proofs for the two-way alternation-free μ-calculus. - Martin Hoefer, Kevin Schewior:
Threshold Testing and Semi-Online Prophet Inequalities. - Torty Sivill, Peter A. Flach:
Shapley Sets: Feature Attribution via Recursive Function Decomposition. - Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu:
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. - Danish Gufran, Sudeep Pasricha:
FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices. - Shyan Akmal, Virginia Vassilevska Williams, R. Ryan Williams, Zixuan Xu:
Faster Detours in Undirected Graphs. - Salma Afifi, Febin Sunny, Amin Shafiee, Mahdi Nikdast, Sudeep Pasricha:
GHOST: A Graph Neural Network Accelerator using Silicon Photonics. - Ali Shoker, Paulo Esteves Veríssimo, Marcus Völp:
The Path to Fault- and Intrusion-Resilient Manycore Systems on a Chip. - Chris Gagne, Peter Dayan:
The Inner Sentiments of a Thought. - Ali Shoker:
Digital Sovereignty Strategies for Every Nation. - Jiangce Chen, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van den Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb:
Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators. - Afshin Khadangi:
DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification. - Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang:
SUIT: Learning Significance-guided Information for 3D Temporal Detection. - Isaac M. Sonin:
Symmetric Case of Locks, Bombs and Testing Model. - Yu Tian, Renaud Lambiotte:
Structural Balance and Random Walks on Complex Networks with Complex Weights. - Jiangbei Yue, Dinesh Manocha, He Wang:
Human Trajectory Forecasting with Explainable Behavioral Uncertainty. - Ari Stern, Sanah Suri:
Functional equivariance and modified vector fields. - Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani:
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. - Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. - Jan Dreier, Daniel Mock, Peter Rossmanith:
Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond. - Giorgos Sfikas, George Retsinas:
On the Matrix Form of the Quaternion Fourier Transform and Quaternion Convolution. - Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Ketan Kotwal, Sébastien Marcel:
EdgeFace: Efficient Face Recognition Model for Edge Devices. - Duong Q. Nguyen, Thinh D. Le, Phuong D. Nguyen, Nga T. K. Le, H. Nguyen-Xuan:
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach. - Hailin Li, Raghavendra Ramachandra:
Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized? - Zhenyu Wu, Ziwei Wang, Xiuwei Xu, Jiwen Lu, Haibin Yan:
Embodied Task Planning with Large Language Models. - Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo:
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. - Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard G. Baraniuk:
Self-Consuming Generative Models Go MAD. - Jack Garbus, Jordan Pollack:
Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning. - William Guimont-Martin, Jean-Michel Fortin, François Pomerleau, Philippe Giguère:
MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds. - Santiago de Leon-Martinez:
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank. - Riccardo Orlando, Simone Conia, Roberto Navigli:
Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities. - Sina Tayebati, Kyu Taek Cho:
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing. - Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard:
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning. - Rasul Abdusalamov, Julius Kaplunov, Mikhail Itskov:
Discovering Asymptotic Expansions Using Symbolic Regression. - Tal Wagner, Yonatan Naamad, Nina Mishra:
Fast Private Kernel Density Estimation via Locality Sensitive Quantization. - Weijie Xu, Xiaoyu Jiang, Jay Desai, Bin Han, Fuqin Yan, Francis Iannacci:
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation. - Chuqi Chen, Yue Wu, Yang Xiang:
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow. - Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. - Ye-Ji Mun, Zhe Huang, Haonan Chen, Yilong Niu, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell:
User-Friendly Safety Monitoring System for Manufacturing Cobots. - Abbas Türkoglu, Erdem Akagündüz:
EANet: Enhanced Attribute-based RGBT Tracker Network. - Young Min Kim, Kalvin Chang, Chenxuan Cui, David R. Mortensen:
Transformed Protoform Reconstruction. - David Auger, Pierre Coucheney, Loric Duhazé, Kossi Roland Etse:
Generalized ARRIVAL Problem for Rotor Walks in Path Multigraphs. - Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael P. Robson:
Generative Artificial Intelligence Consensus in a Trustless Network. - Isar Nejadgholi, Svetlana Kiritchenko, Kathleen C. Fraser, Esma Balkir:
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers. - Oliver Limoyo, Filip Maric, Matthew Giamou, Petra Alexson, Ivan Petrovic, Jonathan Kelly:
Euclidean Equivariant Models for Generative Graphical Inverse Kinematics. - Andrew Haberlandt, Harrison Green, Marijn J. H. Heule:
Effective Auxiliary Variables via Structured Reencoding. - Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani:
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. - Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover:
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. - Matthias Killer, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents. - Andreas Doering, Marius Wiggert, Hanna Krasowski, Manan Doshi, Pierre F. J. Lermusiaux, Claire J. Tomlin:
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers. - David Schoch, Chung-hong Chan, Claudia Wagner, Arnim Bleier:
Computational Reproducibility in Computational Social Science. - Dominic Gold, Koray Karabina, Francis C. Motta:
An Algorithm for Persistent Homology Computation Using Homomorphic Encryption. - Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal:
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning. - Sara Shoouri, Shayan Jalili, Jiahong Xu, Isabelle Gallagher, Yuhao Zhang, Joshua Wilhelm, Necmiye Ozay, Jean-Baptiste Jeannin:
Falsification of a Vision-based Automatic Landing System. - Nicolas Hoischen, Marius Wiggert, Claire J. Tomlin:
Safe Connectivity Maintenance in Underactuated Multi-Agent Networks for Dynamic Oceanic Environments. - Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar:
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. - Péter Pósfay, Marcell T. Kurbucz, Péter Kovács, Antal Jakovác:
Learning ECG signal features without backpropagation. - Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Jonghyuk Baek, Jiun-Shyan Chen:
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture. - Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. - Austin Luchsinger, David Doty, David Soloveichik:
Optimal Information Encoding in Chemical Reaction Networks. - Saeed Sanati, Maher A. Azzouz, Ahmed Awad:
An Adaptive Overcurrent Protection for Solar-based DC Microgrids Using IEC 61850. - Ehsan Yousefi, Mo Chen, Inna Sharf:
Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots. - Eric Lei, Yigit Berkay Uslu, Hamed Hassani, Shirin Saeedi Bidokhti:
Text + Sketch: Image Compression at Ultra Low Rates. - Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring:
Query-based Video Summarization with Pseudo Label Supervision. - Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Gari D. Clifford, Matthew A. Reyna, Reza Sameni:
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization. - Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. - Vignesh Kothapalli, Tom Tirer, Joan Bruna:
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks. - Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach:
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. - Lukman E. Ismaila, Pejman Rasti, Jean-Michel Lemée, David Rousseau:
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI. - Ehsan Latif, Ramviyas Parasuraman:
Instantaneous Wireless Robotic Node Localization Using Collaborative Direction of Arrival. - Kun Han, Shanlin Sun, Xiaohui Xie:
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane. - Ian D. Wood, Michal Kepkowski, Leron Zinatullin, Travis Darnley, Mohamed Ali Kâafar:
An analysis of scam baiting calls: Identifying and extracting scam stages and scripts. - Mohamed Aly Bouke, Sameer Hamoud Alshatebi, Azizol Abdullah, Korhan Cengiz, Hayate El Atigh:
African Union Convention on Cyber Security and Personal Data Protection: Challenges and Future Directions. - Kouta Okabe, Takuya Mieno, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai:
Linear-time computation of generalized minimal absent words for multiple strings. - Shuhao Shi, Kai Qiao, Zhengyan Wang, Jie Yang, Baojie Song, Jian Chen, Bin Yan:
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective. - Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou:
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. - Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. - Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. - Meng Cai, David Cohen, Xiaojie Wang:
Strong convergence rates for a full discretization of stochastic wave equation with nonlinear damping. - Yuntao Wang, Zhou Su:
An Envy-Free Online UAV Charging Scheme with Vehicle-Mounted Mobile Wireless Chargers. - Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul, Zhongchen Zhao, Huai Chen, Lisheng Wang, Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, Yasmeen M. George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Edward Walczak, Seán McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher J. Weight:
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. - Fei Guo, Li Zhu, YiWang Wang:
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition. - Yansheng Su, Deren Han, Yun Zeng, Jiaxin Xie:
The linear convergence of the greedy randomized Kaczmarz method is deterministic. - Xusheng Zhu, Wen Chen, Qingqing Wu, Liwei Wang:
Performance Analysis of RIS-Aided Space Shift Keying With Channel Estimation Errors. - Qiulei Wang, Lei Yan, Gang Hu, Wenli Chen, Bernd R. Noack:
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing. - Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. - Cong Chen, Subhonmesh Bose, Timothy D. Mount, Lang Tong:
Wholesale Market Participation of DERA Part I: DSO-DERA-ISO Coordination. - Yunhao Quan, Nan Cheng, Xiucheng Wang, Jinglong Shen, Longfei Ma, Zhisheng Yin:
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication. - Yuhuan Yang, Chaofan Ma, Chen Ju, Ya Zhang, Yanfeng Wang:
Multi-Modal Prototypes for Open-Set Semantic Segmentation. - Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong:
Wholesale Market Participation of DERA Part II: Competitive DER Aggregation. - Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Chenglong Liu:
Remote Sensing Image Change Detection with Graph Interaction. - Tanvina Patel, Odette Scharenborg:
Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems. - Jiahao Li, Yuanyou Xu, Zongxin Yang, Yi Yang, Yueting Zhuang:
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation. - Samir R. Katte, Keith E. Fernandez:
A Survey Report on Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis. - Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven:
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. - Mingchuan Tian, Wilson Weixun Lu, Kelvin Weng Chiong Foong, Eugene Loh:
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging. - Manuel Lafond, Weidong Luo:
Parameterized Complexity of Domination Problems Using Restricted Modular Partitions. - Chandra Chekuri, Kent Quanrud:
Independent Sets in Elimination Graphs with a Submodular Objective. - Lin Sui, Fangzhou Mu, Yin Li:
NMS Threshold matters for Ego4D Moment Queries - 2nd place solution to the Ego4D Moment Queries Challenge 2023. - Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason A. Fries, Nigam Shah:
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. - Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. - Ali Shoker, Fernando Alves, Paulo Esteves Veríssimo:
ScalOTA: Scalable Secure Over-the-Air Software Updates for Vehicles. - Anqi Mao, Mehryar Mohri, Yutao Zhong:
Ranking with Abstention. - Yiyao Zhou, Qianggang Wang, Yuan Chi, Jianquan Liao, Tao Huang, Niancheng Zhou, Xiaolong Xu, Xuefei Zhang:
Convex Optimal Power Flow Based on Power Injection-based Equations and Its Application in Bipolar DC Distribution Network. - Zhaomin Wu, Junyi Hou, Bingsheng He:
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. - Jie Fu, Junyu Gao, Changsheng Xu:
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing. - Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li:
Recommender Systems in the Era of Large Language Models (LLMs). - Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. - Mingjian Tuo, Xingpeng Li, Tianxia Zhao:
Graph Neural Network-based Power Flow Model. - Jianming Huang, Yu Hua:
From Ideal to Practice: Data Encryption in eADR-based Secure Non-Volatile Memory Systems. - Deepanway Ghosal, Yew Ken Chia, Navonil Majumder, Soujanya Poria:
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning. - Muhammad Osama Nusrat, Zeeshan Habib, Mehreen Alam, Saad Ahmed Jamal:
Emoji Prediction using Transformer Models. - Jaydip Sen, Subhasis Dasgupta:
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact. - Simran Kumari, Susenjit Ghosh, Ashish R. Hota, Siddhartha Mukhopadhyay:
Energy Consumption of Electric Vehicles: Effect of Lateral Dynamics. - Mathias Anselmann, Markus Bause, Nils Margenberg, Pavel Shamko:
Benchmark computations of dynamic poroelasticity. - Hanzhang Xue, Hao Fu, Liang Xiao, Yiming Fan, Dawei Zhao, Bin Dai:
Traversability Analysis for Autonomous Driving in Complex Environment: A LiDAR-based Terrain Modeling Approach. - Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang:
Convergence Analysis for Restarted Anderson Mixing and Beyond. - Fei Deng, Junyeong Park, Sungjin Ahn:
Facing off World Model Backbones: RNNs, Transformers, and S4. - Omar Moured, Jiaming Zhang, Alina Roitberg, Thorsten Schwarz, Rainer Stiefelhagen:
Line Graphics Digitization: A Step Towards Full Automation. - Steve Hanneke, Shay Moran, Qian Zhang:
Universal Rates for Multiclass Learning. - Fabio Sigrist:
A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables. - Yan Chang, Yukun Guo, Tao Yin, Yue Zhao:
Mathematical and numerical study of an inverse source problem for the biharmonic wave equation. - Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn:
Performance Modeling of Data Storage Systems using Generative Models. - Andrea Canidio, Robin Fritsch:
Arbitrageurs' profits, LVR, and sandwich attacks: batch trading as an AMM design response. - Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. - Kenneth MacSporran Mayer, Laura Cottatellucci, Robert Schober:
Optimal Transmit Antenna Deployment and Power Allocation for Wireless Power Supply in an Indoor Space. - Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou:
Graph Contrastive Topic Model. - Bulat Nasrulin, Georgy Ishmaev, Jérémie Decouchant, Johan Pouwelse:
LØ: An Accountable Mempool for MEV Resistance. - Alafate Abulimiti:
Different Games in Dialogue: Combining character and conversational types in strategic choice. - Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing, Liming Zhu:
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future. - Mohan Zhou, Yalong Bai, Wei Zhang, Ting Yao, Tiejun Zhao:
Interactive Conversational Head Generation. - Qiqi Zhou, Yichen Zhu:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. - Adam Ivankay, Mattia Rigotti, Pascal Frossard:
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications. - Yueshan Chen, Xingyu Xu, Tian Lan, Sihai Zhang:
The Predictability of Stock Price: Empirical Study onTick Data in Chinese Stock Market. - Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. - Abdelhadi Soudi, Manal El Hakkaoui, Kristof Van Laerhoven:
Do predictability factors towards signing avatars hold across cultures? - Matthias Barkowsky, Holger Giese:
Incremental Model Transformations with Triple Graph Grammars for Multi-version Models. - Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. - Johannes Rauch, Dieter Rautenbach, Uéverton S. Souza:
Exact and Parameterized Algorithms for the Independent Cutset Problem. - Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill:
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization. - Kim Cheng Sheang, Horacio Saggion:
Multilingual Controllable Transformer-Based Lexical Simplification. - Shaogao Lv, Gang Wen, Shiyu Liu, Linsen Wei, Ming Li:
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix. - Hejing Cao, Dongyan Zhao:
Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction. - Leonardo Petrini, Francesco Cagnetta, Umberto M. Tomasini, Alessandro Favero, Matthieu Wyart:
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model. - Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer:
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso. - Toygar Tanyel, Serkan Ayvaz, Bilgin Keserci:
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research. - Felix Burkhardt, Uwe D. Reichel, Florian Eyben, Björn W. Schuller:
Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions. - Tomer Cohen, Ariel Kulik, Hadas Shachnai:
Improved Approximation for Two-dimensional Vector Multiple Knapsack. - Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool:
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. - Moming Duan:
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives. - Tulasi Bharathi, Shailaja D. Sharma, Nithin Nagaraj:
Kolam Simulation using Angles at Lattice Points. - Longshen Ou, Xichu Ma, Ye Wang:
LOAF-M2L: Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation. - Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He:
Recommendation Unlearning via Influence Function. - Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag:
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency. - Zongyuan Han, Wenhao Li, Yixuan Huang, Shengxin Zhu:
Suboptimal subspace construction for log-determinant approximation. - Takao Dantsuji, Yuki Takayama:
Perimeter control, autonomous vehicle, and urban spatial structure. - Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong:
Generative Job Recommendations with Large Language Model. - Bruk Gebregziabher:
Multi Object Tracking for Predictive Collision Avoidance. - Filip Cano Córdoba, Alexander Palmisano, Martin Fränzle, Roderick Bloem, Bettina Könighofer:
Safety Shielding under Delayed Observation. - Federico Chiariotti:
Age of Information Analysis in Shared Edge Computing Servers. - Meysam Alizadeh, Maël Kubli, Zeynab Samei, Shirin Dehghani, Juan Diego Bermeo, Maria Korobeynikova, Fabrizio Gilardi:
Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks. - Thom W. Frühwirth:
Runtime Repeated Recursion Unfolding: A Just-In-Time Online Program Optimization That Can Achieve Super-Linear Speedup. - Subrata Nandi, Srinivasan Krishnaswamy, Pinaki Mitra:
A Scheme to resist Fast Correlation Attack for Word Oriented LFSR based Stream Cipher. - Guangrui Yang, Lihua Yang, Qing Zhang, Zhihua Yang:
An Equivalent Graph Reconstruction Model and its Application in Recommendation Prediction. - Jie Huang, Kevin Chen-Chuan Chang:
Citation: A Key to Building Responsible and Accountable Large Language Models. - David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. - Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis:
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification. - Renato Ferreira Pinto Jr.:
Directed Poincaré Inequalities and L1 Monotonicity Testing of Lipschitz Functions. - Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst:
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. - Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. - Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu:
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. - Mingfei Lu, Badong Chen:
On the Adversarial Robustness of Generative Autoencoders in the Latent Space. - Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann:
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles. - Anita Dürr, Nicolas El Maalouly, Lasse Wulf:
An Approximation Algorithm for the Exact Matching Problem in Bipartite Graphs. - Souayah Abdelkader, Mokretar Kraroubi Abderrahmene, Slimane Larabi:
Object Recognition System on a Tactile Device for Visually Impaired. - F. Conte, Stefano Massucco, Federico Silvestro, Diego Cirio, Marco Rapizza:
Demand Response by Aggregates of Domestic Water Heaters with Adaptive Model Predictive Control. - Christian Gerhards, Xinpeng Huang:
Spherical Basis Functions in Hardy Spaces with Localization Constraints. - Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu:
Personalized Federated Learning via Amortized Bayesian Meta-Learning. - Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition. - Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts:
Knowledge-Guided Additive Modeling For Supervised Regression. - Vahid Heidaripour Lakhani, Leander Jehl, Georgy Ishmaev, Vero Estrada-Galiñanes:
Tit-for-Token: fair rewards for moving data in decentralized storage networks. - Shuai Chen, Subhradeep Kayal, Marleen de Bruijne:
Source Identification: A Self-Supervision Task for Dense Prediction. - Paul Schwenteck, Sandra Zimmermann, Caspar von Lengerke, Giang T. Nguyen, Christian Scheunert, Frank H. P. Fitzek:
An Overview of the NET Playground - A Heterogeneous, Multi-Functional Network Test Bed. - Stefan Kratsch, Pascal Kunz:
Approximate Turing kernelization and lower bounds for domination problems. - Yuan Fang, Siyao Zhang, Xinmin Li, Jie Xu, Shuguang Cui:
Multi-IRS-Enabled Integrated Sensing and Communications. - Garrett Allen, Gaole He, Ujwal Gadiraju:
Power-up! What Can Generative Models Do for Human Computation Workflows? - Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel, Denis Jouvet:
Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions. - Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. - Jayateja Kalla, Soma Biswas:
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning. - Linhao Qu, Yingfan Ma, Xiaoyuan Luo, Manning Wang, Zhijian Song:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need. - Hannah Schuster, Axel Polleres, Johannes Wachs:
Stress-testing Road Networks and Access to Medical Care. - Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. - Mohamed Abouelnaga, Julien Vitay, Aida Farahani:
Multivariate Time Series Classification: A Deep Learning Approach. - Suvojit Dhara, Adrijit Goswami:
Analyzing Different Expert-Opined Strategies to Enhance the Effect on the Goal of a Multi-Attribute Decision-Making System Using a Concept of Effort Propagation and Application in Enhancement of High School Students' Performance. - Jiayi Lei, Tiankui Zhang, Yuanwei Liu:
Hybrid NOMA for STAR-RIS Enhanced Communication. - Mohamed Abouelnaga, Christine Jakobs:
Security Risk Analysis Methodologies for Automotive Systems. - Jianxiang Luo, Junyi Hu, Tianji Pang, Weihao Huang, Chuang Liu:
Dynamical Isometry based Rigorous Fair Neural Architecture Search. - Lasha Abzianidze, Joost Zwarts, Yoad Winter:
SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space. - Yuguang Shi:
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection. - Ahmed Ghorbel, Wassim Hamidouche, Luce Morin:
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression. - Yuxin Yang, Xiaoming Chen, Yinhe Han:
RBDCore: Robot Rigid Body Dynamics Accelerator with Multifunctional Pipelines. - Felix Dangel:
Convolutions Through the Lens of Tensor Networks. - Ben Norman, Jeff Clune:
First-Explore, then Exploit: Meta-Learning Intelligent Exploration. - (Withdrawn) Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data.
- Kun Li, George Vosselman, Michael Ying Yang:
Interactive Image Segmentation with Cross-Modality Vision Transformers. - Xuan-Quy Dao:
Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard. - Tai D. Nguyen, Long H. Pham, Jun Sun:
Fuzzing with Quantitative and Adaptive Hot-Bytes Identification. - Junwen Chen, Yingcheng Wang, Keiji Yanai:
Focusing on what to decode and what to train: Efficient Training with HOI Split Decoders and Specific Target Guided DeNoising. - Parinya Chalermsook, Seth Pettie, Sorrachai Yingchareonthawornchai:
Sorting Pattern-Avoiding Permutations via 0-1 Matrices Forbidding Product Patterns. - Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu:
Meta-Learning Adversarial Bandit Algorithms. - André V. Duarte, Arlindo L. Oliveira:
Improving Address Matching using Siamese Transformer Networks. - Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok:
Sumformer: Universal Approximation for Efficient Transformers. - Leyla Fathollahi, Mahmood Mohassel Feghhi, Mahmoud Atashbar:
Energy optimization for Full-Duplex Wireless-Powered IoT Networks using Rotary-Wing UAV with Multiple Antennas. - Saisai Ding, Jun Wang, Juncheng Li, Jun Shi:
Multi-Scale Prototypical Transformer for Whole Slide Image Classification. - Ana-Maria Bucur:
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media. - Zdenek Dvorák, Abhiruk Lahiri:
Maximum edge colouring problem on graphs that exclude a fixed minor. - Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes:
Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. - Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi:
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers. - Alexandre Mota, Fei Yang, Cristiano Teixeira:
Formally Verifying a Real World Smart Contract. - Jiaxin Yu, Liming Fu, Peng Liang, Amjed Tahir, Mojtaba Shahin:
Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities. - Marco Skocaj, Francesca Conserva, Nicole Sarcone Grande, Andrea Orsi, Davide Micheli, Giorgio Ghinamo, Simone Bizzarri, Roberto Verdone:
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements. - Stefano Fasciani:
References in and citations to NIME papers. - Andrés Domínguez Hernández, Kopo M. Ramokapane, Partha Das Chowdhury, Ola Aleksandra Michalec, Emily Johnstone, Emily Godwin, Alicia G. Cork, Awais Rashid:
Co-creating a Transdisciplinary Map of Technology-mediated Harms, Risks and Vulnerabilities: Challenges, Ambivalences and Opportunities. - Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp:
FAM: Relative Flatness Aware Minimization. - Ludwig Mohr, Ismail Geles, Friedrich Fraundorfer:
GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm. - Timo Pierre Schrader, Teresa Bürkle, Sophie Henning, Sherry Tan, Matteo Finco, Stefan Grünewald, Maira Indrikova, Felix Hildebrand, Annemarie Friedrich:
MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain. - Matthias Grundmann, Hannes Hartenstein:
Towards a Formal Verification of the Lightning Network with TLA+. - Outongyi Lv, Bingxin Zhou, Yu Guang Wang:
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning. - (Withdrawn) Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality.
- Moritz von Tresckow, Herbert De Gersem, Dimitrios Loukrezis:
Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model. - Arif Wider, Sumedha Verma, Atif Akhtar:
Decentralized Data Governance as Part of a Data Mesh Platform: Concepts and Approaches. - Ana Guerberof Arenas, Antonio Toral:
To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation. - François Renaville, Fabienne Prosmans:
Beyond the Library Collections: Proceedings of the 2022 Erasmus Staff Training Week at ULiège Library. - Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave:
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions. - Gino Perrotta, Luca Scheuer, Yocheved Kopel, Max Basescu, Adam Polevoy, Kevin C. Wolfe, Joseph L. Moore:
Planning and Control for a Dynamic Morphing-Wing UAV Using a Vortex Particle Model. - Raphael Antonius Frick, Inna Vogel, Jeong-Eun Choi:
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification. - Radu Iosif, Florian Zuleger:
Expressiveness Results for an Inductive Logic of Separated Relations. - Brian A. Bittner, Jason Reid, Kevin C. Wolfe:
Floating-base manipulation on zero-perturbation manifolds. - Stephanie Long, Alexandre Piché, Valentina Zantedeschi, Tibor Schuster, Alexandre Drouin:
Causal Discovery with Language Models as Imperfect Experts. - John A. Snoap:
Physical Layer Secret Key Agreement Using One-Bit Quantization and Low-Density Parity-Check Codes. - Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato:
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. - Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. - Zhaoze Wang, Junsong Wang:
A Versatile Hub Model For Efficient Information Propagation And Feature Selection. - Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. - Abel C. H. Chen:
The Pseudonymous Certificates for Healthcare Systems. - Enrique Saurez, Harshit Gupta, Henriette Röger, Sukanya Bhowmik, Umakishore Ramachandran, Kurt Rothermel:
Utility-Aware Load Shedding for Real-time Video Analytics at the Edge. - Mahender Kumar:
An Approach to Remove Key Escrow Problem in ID-Based Encryption From Pairing. - Md Naseef-Ur-Rahman Chowdhury, Ahshanul Haque, Hamdy Soliman, Mohammad Sahinur Hossen, Tanjim Fatima, Imtiaz Ahmed:
Android Malware Detection using Machine learning: A Review. - Filippos Christou:
MINDFul.jl: A Framework for Intent-driven Multi-Domain Network coordination. - Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy:
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. - Sayan Bhattacharya, Martín Costa, Nadav Panski, Shay Solomon:
Density-Sensitive Algorithms for (Δ+1)-Edge Coloring. - Satyajit Ghosh, Mousumi Dutta:
Indriya: Building a Secure and Transparent Organ Donation System with Hyperledger Fabric. - Luigi Freda, Tiago Novo, David Portugal, Rui P. Rocha:
3D Multi-Robot Exploration with a Two-Level Coordination Strategy and Prioritization. - Yeqi Gao, Zhao Song, Shenghao Xie:
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick. - Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang:
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models. - Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
FOCUS: Object-Centric World Models for Robotics Manipulation. - Md Washik Al Azad, Hasniuj Zahan, Sifat Ut Taki, Spyridon Mastorakis:
DarkHorse: A UDP-based Framework to Improve the Latency of Tor Onion Services. - Peter Frolkovic, Nikola Gajdosová:
Unconditionally stable higher order semi-implicit level set method for advection equations. - Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. - Deepak Raina, Chandrashekhara SH, Richard M. Voyles, Juan P. Wachs, Subir Kumar Saha:
Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization. - Max Hort, Anastasiia Grishina, Leon Moonen:
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code. - Alifia Puspaningrum, Muhammad Anis Al Hilmi, Darsih, Muhamad Mustamiin, Maulana Ilham Ginanjar:
Vulnerable Source Code Detection using SonarCloud Code Analysis. - Timon Böhler, David Richter, Mira Mezini:
Using Rewrite Strategies for Efficient Functional Automatic Differentiation. - Oluwami Dosunmu-Ogunbi, Aayushi Shrivastava, Grant Gibson, Jessy W. Grizzle:
Stair Climbing using the Angular Momentum Linear Inverted Pendulum Model and Model Predictive Control. - Carsten Hartmann, Lorenz Richter:
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness. - Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong:
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models. - Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Gaussian Database Alignment and Gaussian Planted Matching. - Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia:
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. - Marc Rußwurm, Sushen Jilla Venkatesa, Devis Tuia:
Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2. - Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong:
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? - Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Deductive Additivity for Planning of Natural Language Proofs. - Jean-Marie Favreau, Yan Gerard, Pascal Lafourcade, Léo Robert:
The Calissons Puzzle. - Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim:
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. - Liangchen Liu, Juncai He, Richard Tsai:
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. - Hari Prabhat Gupta, Rahul Mishra:
A Dataset of Inertial Measurement Units for Handwritten English Alphabets. - Alexander Wei, Nika Haghtalab, Jacob Steinhardt:
Jailbroken: How Does LLM Safety Training Fail? - Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. - Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. - Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei:
LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens. - Eduard Petiska:
ChatGPT Creates a Review Article: State of the Art in the Most-Cited Articles on ChatGPT in Health Science, Computer Science, Communication, and Culture, According to Altmetric in Dimensions.ai. - Venkat Kodali, Daniel Berleant:
Visual Question Answering (VQA) on Images with Superimposed Text. - Seungeon Lee, Sang-Chul Lee:
TablEye: Seeing small Tables through the Lens of Images. - Eunju Yang, Gyusang Cho, Chan-Hyun Youn:
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization. - Stefan Hildebrand, Sandra Klinge:
Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics. - Nicolas Pinon, Robin Trombetta, Carole Lartizien:
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis. - Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni, Benjamin Renard, Hélène Roux:
Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression. - Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang:
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding. - Delyan Boychev:
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection. - Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan:
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. - Lincan Li, Kaixiang Yang, Fengji Luo, Jichao Bi:
STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting. - Yuanyou Xu, Jiahao Li, Zongxin Yang, Yi Yang, Yueting Zhuang:
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking. - Mathieu Pont, Julien Tierny:
Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams). - Joern Ploennigs, Markus Berger:
Diffusion Models for Computational Design at the Example of Floor Plans. - Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein:
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. - Shiqi Pan:
Locating Robber with Cop Strategy Graph: Subdivision vs. Multiple Cop. - Walid Hariri:
Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies. - Bingzhuo Zhong, Siyuan Liu, Marco Caccamo, Majid Zamani:
Secure-by-Construction Synthesis for Control Systems. - Nithyashankari Gummidipoondi Jayasankaran, Hao Guo, Satwik Patnaik, Jeyavijayan Rajendran, Jiang Hu:
Securing Cloud FPGAs Against Power Side-Channel Attacks: A Case Study on Iterative AES. - Sergey Berezin, Tatiana Batura:
Named Entity Inclusion in Abstractive Text Summarization. - Yu-Hong Yeung, Ramakrishna Tipireddy, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling. - Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner:
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. - Hannah Kerner, Catherine Nakalembe, Adam Yang, Ivan Zvonkov, Ryan McWeeny, Gabriel Tseng, Inbal Becker-Reshef:
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? - Maarten Sukel, Stevan Rudinac, Marcel Worring:
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters. - Kathy Cheng, Phil Cuvin, Alison Olechowski, Shurui Zhou:
User Perspectives on Branching in Computer-Aided Design. - Rustam Tagiew:
Mainline Automatic Train Horn and Brake Performance Metric. - Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis:
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. - Salvatore Spina:
Homo-Loggatus. The anthropological condition of historians in the digital world. - Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu:
ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection. - Harbir Antil, David Sayre:
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging. - Mohamed A. Serry, Sean D. Peterson, Jun Liu:
Euler-Bernoulli beams with contact forces: existence, uniqueness, and numerical solutions. - Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien:
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. - Shuyang Cai, Wanyun Cui:
Evade ChatGPT Detectors via A Single Space. - Jiaqi Xu, Cheng Luo, Weicheng Xie, Linlin Shen, Xiaofeng Liu, Lu Liu, Hatice Gunes, Siyang Song:
MRecGen: Multimodal Appropriate Reaction Generator. - Tomer Ezra, Tamar Garbuz:
The Importance of Knowing the Arrival Order in Combinatorial Bayesian Settings. - Claes Wohlin, Marcos Kalinowski, Kátia Romero Felizardo, Emilia Mendes:
Successful Combination of Database Search and Snowballing for Identification of Primary Studies in Systematic Literature Studies. - Yarin Ozery, Asaf Nadler, Asaf Shabtai:
Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and Prevention. - Yuwei Bao, Barrett Martin Lattimer, Joyce Chai:
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition. - Miguel Campercholi, Diego Nicolás Castaño, Gonzalo Zigarán:
The complexity of the Chinese Remainder Theorem. - Colin Bellinger, Mark Crowley, Isaac Tamblyn:
Learning when to observe: A frugal reinforcement learning framework for a high-cost world. - Irene Wang, Prashant J. Nair, Divya Mahajan:
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. - Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao:
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. - Jacqueline Harding:
Proxy Selection in Transitive Proxy Voting. - Luciano Del Corro, Allie Del Giorno, Sahaj Agarwal, Bin Yu, Ahmed Awadallah, Subhabrata Mukherjee:
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference. - Lorenzo Carfagna, Giovanni Manzini:
Compressibility measures for two-dimensional data. - Jade M. Almeida, Giovanna A. Castro, João A. Machado-Neto, Tiago A. Almeida:
An explainable model to support the decision about the therapy protocol for AML. - Sean P. Meyn:
Stability of Q-Learning Through Design and Optimism. - Daniel Garces, Stephanie Gil:
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare. - Alexandrea K. Ramnarine:
Unsupervised Sentiment Analysis of Plastic Surgery Social Media Posts. - Christopher McClurg, Ali Ayub, Harsh Tyagi, Sarah Michele Rajtmajer, Alan R. Wagner:
Active Class Selection for Few-Shot Class-Incremental Learning. - Anuj S. Vora, Ankur A. Kulkarni:
Achievable Rates for Information Extraction from a Strategic Sender. - Miriam Baglioni, Andrea Mannocci, Gina Pavone, Michele De Bonis, Paolo Manghi:
(Semi)automated disambiguation of scholarly repositories. - Simon Guist, Jan Schneider, Hao Ma, Vincent Berenz, Julian Martus, Felix Grüninger, Michael Mühlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler:
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions. - Thomas Walker, Varun Anand, Pavlos Andreadis:
Spherical Feature Pyramid Networks For Semantic Segmentation. - Jackson Dean, Nick Cheney:
Many-objective Optimization via Voting for Elites. - Zihe Ye, Yu Sun:
Only Pick Once - Multi-Object Picking Algorithms for Picking Exact Number of Objects Efficiently. - Tengchan Zeng, Aidin Ferdowsi, Omid Semiari, Walid Saad, Choong Seon Hong:
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation. - Nic Roberts, Noushin Raeisi Kheirabadi, Michail-Antisthenis I. Tsompanas, Alessandro Chiolerio, Marco Crepaldi, Andrew Adamatzky:
Logical circuits in colloids. - Tobias Dehling, Ali Sunyaev:
A design theory for transparency of information privacy practices. - Huwan Peng, Scott Davidson, Richard Shi, Shuaiwen Leon Song, Michael B. Taylor:
Chiplet Cloud: Building AI Supercomputers for Serving Large Generative Language Models. - Julia Lust, Alexandru Paul Condurache:
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. - Na Zhang:
A Study on the Impact of Face Image Quality on Face Recognition in the Wild. - Yongrae Jo, Seongyun Lee, Aiden SJ Lee, Hyunji Lee, Hanseok Oh, Minjoon Seo:
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment. - Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. - Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang:
Scaling In-Context Demonstrations with Structured Attention. - Qiushi Lin, Hang Ma:
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding. - Francesco Cagnetta, Deborah Oliveira, Mahalakshmi Sabanayagam, Nikolaos Tsilivis, Julia Kempe:
Kernels, Data & Physics. - Juan R. Terven, Diana-Margarita Córdova-Esparza, Alfonso Ramirez-Pedraza, Edgar A. Chavez-Urbiola:
Loss Functions and Metrics in Deep Learning. A Review. - Kumiko Tanaka-Ishii, Akira Tanaka:
Statistical Mechanics of Strahler Number via Random and Natural Language Sentences. - Vaibhav Vavilala, David A. Forsyth:
Applying a Color Palette with Local Control using Diffusion Models. - Mirza S. Sarwar, Ryusuke Ishizaki, Kieran Morton, Claire Preston, Tan Nguyen, Xu Fan, Bertille Dupont, Leanna Hogarth, Takahide Yoshiike, Shahriar Mirabbasi, John D. W. Madden:
Touch, press and stroke: a soft capacitive sensor skin. - Hann Woei Ho, Ye Zhou:
Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach. - Glenn Bruns, Mauricio Cortes:
A Logical Way to Negotiate Services. - Youzhi Luo, Chengkai Liu, Shuiwang Ji:
Towards Symmetry-Aware Generation of Periodic Materials. - Yongquan Yang, Hong Bu:
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels. - Emily Mu, John V. Guttag, Maggie Makar:
Multi-Similarity Contrastive Learning. - Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong:
CFSum: A Coarse-to-Fine Contribution Network for Multimodal Summarization. - Dengfeng Wang, Liukai Xu, Songyuan Liu, Zhi Li, Yiming Chen, Weifeng He, Xueqing Li, Yanan Sun:
TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations. - Shang Liu, Xiaocheng Li:
Understanding Uncertainty Sampling. - Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du, Yuzong Liu:
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation. - Ziya Gülgün, Erik G. Larsson:
Massive MIMO with Cauchy Noise: Channel Estimation, Achievable Rate and Data Decoding. - Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh, Divesh Srivastava:
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching. - Xiaoli Li, Ziyan Li, Hongxing Rui:
On efficient linear and fully decoupled finite difference method for wormhole propagation with heat transmission process on staggered grids. - Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris:
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. - Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu:
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. - Shenglan Liu, Yu-Ning Ding, Si-Fan Zhang, Wenyue Chen, Ning Zhou, Hao Liu, Guihong Lao:
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating. - Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk:
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? - Ruiyang Xia, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao:
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection. - Haoran Xiong, Zicheng Ye, Huazi Zhang, Jun Wang, Ke Liu, Dawei Yin, Guanghui Wang, Guiying Yan, Zhiming Ma:
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods. - Brandon Kynoch, Hugo Latapie:
RecallM: An Architecture for Temporal Context Understanding and Question Answering. - Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur, Srivas Prasad, Edgar Meij, W. Bruce Croft:
Dense Retrieval Adaptation using Target Domain Description. - Shuvendu Roy, Ali Etemad:
Active Learning with Contrastive Pre-training for Facial Expression Recognition. - Yuanpeng Zheng, Tiankui Zhang, Rong Huang, Yapeng Wang:
Computing Offloading and Semantic Compression for Intelligent Computing Tasks in MEC Systems. - Yuanpeng Zheng, Tiankui Zhang, Jonathan Loo:
Dynamic Multi-time Scale User Admission and Resource Allocation for Semantic Extraction in MEC Systems. - Zhifeng Wang, Chunyan Zeng, Surong Duan, Hongjie Ouyang, Hongmin Xu:
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition. - Li Jiang, Sijie Chen, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding:
Offline Reinforcement Learning with Imbalanced Datasets. - Jincheng Lu, Xipeng Yang, Jin Ye, Yifu Zhang, Zhikang Zou, Wei Zhang, Xiao Tan:
CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matching. - Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. - Hang Zou, Qiyang Zhao, Lina Bariah, Mehdi Bennis, Mérouane Debbah:
Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence. - Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, Minje Choi, Benjamin Litterer, David Jurgens:
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. - Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang:
Knowledge Graph Self-Supervised Rationalization for Recommendation. - Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng, Lei Meng:
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. - Ruosen Li, Teerth Patel, Xinya Du:
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations. - David Jurgens, Agrima Seth, Jackson Sargent, Athena Aghighi, Michael Geraci:
Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships. - Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar:
When Does Confidence-Based Cascade Deferral Suffice? - Liwei Lu, Hailong Guo, Xu Yang, Yi Zhu:
Temporal Difference Learning for High-Dimensional PIDEs with Jumps. - Mounica Maddela, Megan Ung, Jing Xu, Andrea Madotto, Heather Foran, Y-Lan Boureau:
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts. - Taeho Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu:
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback. - Corwin Sinnamon, Robert E. Tarjan:
Efficiency of Self-Adjusting Heaps. - Tuneer Khargonkar, Shwetank Choudhary, Sumit Kumar, Barath Raj KR:
SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images. - Elena Grigorescu, Nithish Kumar, Young-San Lin:
Approximation Algorithms for Directed Weighted Spanners. - Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. - Zahmeeth Sayed Sakkaff:
Brain Computer Interface (BCI) based on Electroencephalographic (EEG) patterns due to new cognitive tasks. - Triet M. Thai, Anh T. Vo, Hao K. Tieu, Linh N. P. Bui, Thien T. B. Nguyen:
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering. - Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Joohan Park, Jiseung Youn, Sunghyun Cho:
On the Spatial-Wideband Effects in Millimeter-Wave Cell-Free Massive MIMO. - Tesshu Hanaka, Hirotaka Ono, Kunihiko Sadakane, Kosuke Sugiyama:
Shortest Beer Path Queries based on Graph Decomposition. - Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. - Charles Jones, Mélanie Roschewitz, Ben Glocker:
The Role of Subgroup Separability in Group-Fair Medical Image Classification. - Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang:
What Should Data Science Education Do with Large Language Models? - Ayush Kumar, David K. Yau:
A Testbed To Study Adversarial Cyber-Attack Strategies in Enterprise Networks. - Nan Tang, Chenyu Yang, Ju Fan, Lei Cao:
VerifAI: Verified Generative AI. - Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai:
BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations. - Hritam Basak, Zhaozheng Yin:
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning. - Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yijin Zhang:
Age-of-Information Dependent Random Access for Periodic Updating. - Mohammad Abu-Shaira, Greg Speegle:
OLR-WA Online Regression with Weighted Average. - Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Dwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman:
Single Image LDR to HDR Conversion using Conditional Diffusion. - Mayuko Kori, Flavio Ascari, Filippo Bonchi, Roberto Bruni, Roberta Gori, Ichiro Hasuo:
Exploiting Adjoints in Property Directed Reachability Analysis. - Nathan Koome Murungi, Michael Vinh Pham, Xufeng Dai, Xiaodong Qu:
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers. - Zeynep Hilal Kilimci, Ulku Bayraktar, Ayhan Kucukmanisa:
Evaluating raw waveforms with deep learning frameworks for speech emotion recognition. - Yuanjing Feng, Lei Xie, Jingqiang Wang, Jianzhong He, Fei Gao:
Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation. - Zhilong Liu, Jiayi Zhang, Ziheng Liu, Hongyang Du, Zhe Wang, Dusit Niyato, Mohsen Guizani, Bo Ai:
Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions. - Xu Han, Anmin Liu, Chenxuan Yao, Yanbo Fan, Kun He:
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. - Jialei Huang, Zhaoheng Yin, Yingdong Hu, Yang Gao:
Policy Contrastive Imitation Learning. - Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. - Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst:
Applying Process Mining on Scientific Workflows: a Case Study. - Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang, Jun Gong:
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization. - Le Xiao, Xiaolin Chen:
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation. - (Withdrawn) Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation.
- Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. - Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. - Zi'ou Zheng, Xiaodan Zhu:
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic. - Jonas Fritzsch, Marvin Wyrich, Justus Bogner, Stefan Wagner:
Resist the Hype! Practical Recommendations to Cope With Résumé-Driven Development. - Xuyang Zhao, Chengpu Yu, Erpei Xu, Yixuan Liu:
TDLE: 2-D LiDAR Exploration With Hierarchical Planning Using Regional Division. - Nandita Pattnaik, Jason R. C. Nurse, Sarah Turner, Gareth Mott, Jamie MacColl, Pia Huesch, James Sullivan:
It's more than just money: The real-world harms from ransomware attacks. - Usman Muhammad, Md. Ziaul Hoque, Mourad Oussalah, Jorma Laaksonen:
Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing. - Anh L. Mai, Pengyu Wang, Azza Abouzied, Matteo Brucato, Peter J. Haas, Alexandra Meliou:
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization. - Shiqi Yang, Atsushi Hashimoto, Yoshitaka Ushiku:
A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task. - Lukas Birkenmaier, Clemens Lechner, Claudia Wagner:
ValiTex - a unified validation framework for computational text-based measures of social science constructs. - Valerio Arnaboldi, Mattia Giovanni Campana, Franca Delmastro, Elena Pagani:
PLIERS: a Popularity-Based Recommender System for Content Dissemination in Online Social Networks. - Marc Zeller, Thomas Waschulzik, Reiner N. Schmid, Claus Bahlmann:
Towards a safe MLOps Process for the Continuous Development and Safety Assurance of ML-based Systems in the Railway Domain. - Pandeng Li, Chen-Wei Xie, Hongtao Xie, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang:
MomentDiff: Generative Video Moment Retrieval from Random to Real. - Hanzhang Xue, Xiaochang Hu, Rui Xie, Hao Fu, Liang Xiao, Yiming Nie, Bin Dai:
Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments. - Patrick Blumenberg, Arne Schmidt, Aaron T. Becker:
Computing Motion Plans for Assembling Particles with Global Control. - Han Zou, Masanori Suganuma, Takayuki Okatani:
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image. - Binbin Xiang, Torben Peters, Theodora Kontogianni, Frawa Vetterli, Stefano Puliti, Rasmus Astrup, Konrad Schindler:
Towards accurate instance segmentation in large-scale LiDAR point clouds. - Xavier Caruso, Antoine Leudière:
Algorithms for computing norms and characteristic polynomials on general Drinfeld modules. - Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang:
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications. - Burak Kilic, Floris Bex, Albert Gatt:
Contrast Is All You Need. - Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai:
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. - Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan:
Learning to Solve Tasks with Exploring Prior Behaviours. - Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi:
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables. - Fuxiang Tao, Wei Ma, Xuri Ge, Anna Esposito, Alessandro Vinciarelli:
The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection. - Georg Rutishauser, Francesco Conti, Luca Benini:
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. - Yuan Liao, Vasilis Friderikos, Halim Yanikomeroglu:
Robust Deployment and Resource Allocation for Robotic Aerial Base Station Enabled OFDM Integrated Sensing and Communication. - Han Zou, Masanori Suganuma, Takayuki Okatani:
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution. - Orhan Konak, Alexander Wischmann, Robin Van De Water, Bert Arnrich:
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition. - Agnese Lombardi, Alessandro Lenci:
Agentività e telicità in GilBERTo: implicazioni cognitive. - Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez:
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. - Dominic Phillips, Charles Matthews, Benedict J. Leimkuhler:
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. - Mikhail Martynov, Zhanibek Darush, Miguel Altamirano Cabrera, Sausar Karaf, Dzmitry Tsetserukou:
MorphoArms: Morphogenetic Teleoperation of Multimanual Robot. - Daeun Lee, Harjinder Singh Lallie, Nadine Michaelides:
The impact of an employee's psychological contract breach on compliance with information security policies: intrinsic and extrinsic motivation. - Dennis Becker, Diana Rueda, Felix Beese, Brenda Scarleth Gutierrez Torres, Myriem Lafdili, Kyra Ahrens, Di Fu, Erik Strahl, Tom Weber, Stefan Wermter:
The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation. - Alonso Rodríguez-Navarro, Ricardo Brito:
Rank analysis of most cited publications, a new approach for research assessments. - Osher Azulay, Nimrod Curtis, Rotem Sokolovsky, Guy Levitski, Daniel Slomovik, Guy Lilling, Avishai Sintov:
AllSight: A Low-Cost and High-Resolution Round Tactile Sensor with Zero-Shot Learning Capability. - Niko Schmidt:
Global q-superlinear convergence of the infinite-dimensional Newton's method for the regularized p-Stokes equations. - Henrik Graßhoff, Florian Adamsky, Stefan Schiffner:
Smartphones in a Microwave: Formal and Experimental Feasibility Study on Fingerprinting the Corona-Warn-App. - Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang:
When No-Rejection Learning is Optimal for Regression with Rejection. - Max Pascher, Kirill Kronhardt, Felix Ferdinand Goldau, Udo Frese, Jens Gerken:
In Time and Space: Towards Usable Adaptive Control for Assistive Robotic Arms. - Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning. - Nuo Chen, Tetsuya Sakai:
A Meta-Evaluation of C/W/L/A Metrics: System Ranking Similarity, System Ranking Consistency and Discriminative Power. - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Finding Favourite Tuples on Data Streams with Provably Few Comparisons. - Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar:
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. - Kenji Koide, Shuji Oishi, Masashi Yokozuka, Atsuhiko Banno:
Exact Point Cloud Downsampling for Fast and Accurate Global Trajectory Optimization. - Eran Bamani, Eden Nissinman, Lisa Koenigsberg, Inbar Meir, Yoav Matalon, Avishai Sintov:
Recognition and Estimation of Human Finger Pointing with an RGB Camera for Robot Directive. - Orestis Alpos, Ignacio Amores-Sesar, Christian Cachin, Michelle Yeo:
Eating sandwiches: Modular and lightweight elimination of transaction reordering attacks. - Sepehr Assadi:
A Simple (1-ε)-Approximation Semi-Streaming Algorithm for Maximum (Weighted) Matching. - Yara Schütt, Johannes Liebenow, Tanya Braun, Marcel Gehrke, Florian Thaeter, Esfandiar Mohammadi:
DPM: Clustering Sensitive Data through Separation. - Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi, Zhaopeng Tu:
On the Cultural Gap in Text-to-Image Generation. - Daniel Balzani, Alexander Heinlein, Axel Klawonn, Jascha Knepper, Sharan Nurani Ramesh, Oliver Rheinbach, Lea Sassmannshausen, Klemens Uhlmann:
A computational framework for pharmaco-mechanical interactions in arterial walls using parallel monolithic domain decomposition methods. - Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort:
Pruning vs Quantization: Which is Better? - Yuting Lu, Lingtong Min, Binglu Wang, Le Zheng, Xiaoxu Wang, Yongqiang Zhao, Teng Long:
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution. - Mattia Giovanni Campana, Franca Delmastro, Elena Pagani:
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data. - Sushanta Kumar Sahu, Ananda S. Chowdhury:
Multi-modal multi-class Parkinson disease classification using CNN and decision level fusion. - Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell, Jason Eisner:
Efficient Semiring-Weighted Earley Parsing. - Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. - Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. - Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna:
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. - Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger:
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. - Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Analysis and design of model predictive control frameworks for dynamic operation - An overview. - Christian Jauch, Timo Leitritz, Marco F. Huber:
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning. - Hongzhan Yu, Chiaki Hirayama, Chenning Yu, Sylvia L. Herbert, Sicun Gao:
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance. - Yijie Deng, Lei Han, Tianpeng Lin, Lin Li, Jinzhi Zhang, Lu Fang:
EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent. - Guanghui Yang, Zhijiang Shao, Rui Wang, Zuhua Xu, Lidan Cui:
Shadow operator: Effective dynamic load change operation training in air separation processes based on industrial nonlinear MPC and Bloom's taxonomy. - Minghao Wu, Alham Fikri Aji:
Style Over Substance: Evaluation Biases for Large Language Models. - Xiaozhong Lyu, Stefan Grafberger, Samantha Biegel, Shaopeng Wei, Meng Cao, Sebastian Schelter, Ce Zhang:
Improving Retrieval-Augmented Large Language Models via Data Importance Learning. - Zeping Sui, Shefeng Yan, Hongming Zhang, Sumei Sun, Yonghong Zeng, Lie-Liang Yang, Lajos Hanzo:
Performance Analysis and Approximate Message Passing Detection of Orthogonal Time Sequency Multiplexing Modulation. - A. M. Zenkin, A. A. Peregudin, Alexey A. Bobtsov:
Lyapunov function search method for analysis of nonlinear systems stability using genetic algorithm. - Ludovica Schaerf, Carina Popovici, Eric O. Postma:
Art Authentication with Vision Transformers. - Aryo Pradipta Gema, Luke Daines, Pasquale Minervini, Beatrice Alex:
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain. - Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten:
A Near-Linear Time Algorithm for the Chamfer Distance. - Walid Bendada, Théo Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouabça, Guillaume Salha-Galvan:
Track Mix Generation on Music Streaming Services using Transformers. - Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen:
Origin-Destination Travel Time Oracle for Map-based Services. - Carlos A. Theran, Michael A. Álvarez, Emmanuel Arzuaga, Heidy Sierra:
Multi-source imagery fusion using deep learning in a cloud computing platform. - Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alexander Warstadt, Ryan Cotterell:
Generalizing Backpropagation for Gradient-Based Interpretability. - Eben Blaisdell, Max I. Kanovich, Stepan L. Kuznetsov, Elaine Pimentel, Andre Scedrov:
Explorations in Subexponential non-associative non-commutative Linear Logic (extended version). - Feng Liu, Achira Boonrath, Prajit KrisshnaKumar, Eleonora M. Botta, Souma Chowdhury:
Learning Constrained Corner Node Trajectories of a Tether Net System for Space Debris Capture. - Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, Brahmananda Sapkota:
DeepOnto: A Python Package for Ontology Engineering with Deep Learning. - Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition. - Marco Calautti, Sergio Greco, Cristian Molinaro, Irina Trubitsyna:
Querying Data Exchange Settings Beyond Positive Queries. - Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang:
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. - Geonwoo Ko, Jinhong Jung:
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions. - Riccardo Bertoglio, Veronica Carini, Stefano Arrigoni, Matteo Matteucci:
A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards. - Abhay Goyal, Nimay Parekh, Lam Yin Cheung, Koustuv Saha, Frederick L. Altice, Robin O'Hanlon, Roger Ho Chun Man, Christian Poellabauer, Honoria Guarino, Pedro Mateu-Gelabert, Navin Kumar:
Predicting Opioid Use Outcomes in Minoritized Communities. - Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. - Manuel Gomes, Miguel Oliveira, Vítor M. F. Santos:
Volumetric Occupancy Detection: A Comparative Analysis of Mapping Algorithms. - Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex S. Gardner, S. T. John, Hong Ge, Richard E. Turner:
Beyond Intuition, a Framework for Applying GPs to Real-World Data. - Jie Zhang, Masanori Suganuma, Takayuki Okatani:
Contextual Affinity Distillation for Image Anomaly Detection. - Behzad Akbari, Zikai Wang, Haibin Zhu, Lucas Wan, Ryan Adderson, Ya-Jun Pan:
Role Engine Implementation for a Continuous and Collaborative Multi-Robot System. - Tim Schopf, Dennis N. Schneider, Florian Matthes:
Efficient Domain Adaptation of Sentence Embeddings using Adapters. - Soumita Hazra, Jagadeesh Harshan:
On Distribution-Preserving Mitigation Strategies for Communication under Cognitive Adversaries. - Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. - Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. - Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. - Michael J. Mior:
JSONoid: Monoid-based Enrichment for Configurable and Scalable Data-Driven Schema Discovery. - P. H. A. Konzen:
ANN-MoC Method for Solving Unidimensional Neutral Particle Transport Problems. - Zijun Yao, Yantao Liu, Xin Lv, Shulin Cao, Jifan Yu, Lei Hou, Juanzi Li:
KoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text Understanding. - Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu:
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Sneha Singhania, Simon Razniewski, Gerhard Weikum:
Extracting Multi-valued Relations from Language Models. - Valerio Arnaboldi, Mattia Giovanni Campana, Franca Delmastro:
Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks. - Zijun Yao, Yuanyong Chen, Xin Lv, Shulin Cao, Amy Xin, Jifan Yu, Hailong Jin, Jianjun Xu, Peng Zhang, Lei Hou, Juanzi Li:
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering. - Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang:
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. - Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. - Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. - Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. - Severin Diepolder, Andrea Araldo, Tarek Chouaki, Santa Maiti, Sebastian Hörl, Constantinos Antoniou:
On the Computation of Accessibility Provided by Shared Mobility. - Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme:
MultiVENT: Multilingual Videos of Events with Aligned Natural Text. - Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm:
Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification? - Yao Shi, Xiaofeng Zhang, Ran Zhang, Zhou Yang, Xiao Tang, Hongni Ye, Yi Wu:
BrickPal: Augmented Reality-based Assembly Instructions for Brick Models. - Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Thomas Lew, Riccardo Bonalli, Marco Pavone:
Risk-Averse Trajectory Optimization via Sample Average Approximation. - Szymon Tworkowski, Konrad Staniszewski, Mikolaj Pacek, Yuhuai Wu, Henryk Michalewski, Piotr Milos:
Focused Transformer: Contrastive Training for Context Scaling. - Rahul Patel, Elias B. Khalil:
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. - Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. - Xiaoyu Zhang, Saurabh Gupta:
Push Past Green: Learning to Look Behind Plant Foliage by Moving It. - Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham:
IPO-LDM: Depth-aided 360-degree Indoor RGB Panorama Outpainting via Latent Diffusion Model. - Krishnamurthy Iyer, Haifeng Xu, You Zu:
Markov Persuasion Processes with Endogenous Agent Beliefs. - Yuan Gong, Sameer Khurana, Leonid Karlinsky, James R. Glass:
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers. - Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal:
TGRL: An Algorithm for Teacher Guided Reinforcement Learning. - Aniruddha Mahapatra, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, Jun-Yan Zhu:
Synthesizing Artistic Cinemagraphs from Text. - Gustav Jonelid, K. R. Larsson:
Finding differences in perspectives between designers and engineers to develop trustworthy AI for autonomous cars. - Patrici Calvo:
Cryptoart: Ethical Challenges of the NFT Revolution. - Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. - Simon Scheider, Harm Bartholomeus, Judith Verstegen:
ChatGPT is not a pocket calculator - Problems of AI-chatbots for teaching Geography. - Aysha Thahsin Zahir Ismail, Raj Mani Shukla:
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks. - Hyesun Choung, Prabu David, John S. Seberger:
A multilevel framework for AI governance. - Ashwin Rao:
Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos. - Fernando Diaz, Michael Madaio:
Scaling Laws Do Not Scale. - Yadu Kiran, Marc D. Riedel:
A Scalable Approach to Performing Multiplication and Matrix Dot-Products in Unary. - Yuanpeng Zheng, Tiankui Zhang, Jonathan Loo, Yapeng Wang, Arumugam Nallanathan:
Joint Computing Offloading and Resource Allocation for Classification Intelligent Tasks in MEC Systems. - Hao Wang:
Optimal Bandwidth Selection for DENCLUE. - Emilie Chouzenoux, Victor Elvira:
Sparse Graphical Linear Dynamical Systems. - Weiliang Chan, Qianqian Ren:
Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings. - Jonathan Pei, Kevin Yang, Dan Klein:
PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. - Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter:
Quantification of Uncertainty with Adversarial Models. - Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger:
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification. - Rachel Yovel, Eran Treister:
LFA-tuned matrix-free multigrid method for the elastic Helmholtz equation. - Jie Zhang, Masanori Suganuma, Takayuki Okatani:
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering. - Kai Yan, Fujun Luan, Milos Hasan, Thibault Groueix, Valentin Deschaintre, Shuang Zhao:
PSDR-Room: Single Photo to Scene using Differentiable Rendering. - Brian H. Do, Shuai Wu, Ruike Renee Zhao, Allison M. Okamura:
Stiffness Change for Reconfiguration of Inflated Beam Robots. - Clayton Fields, Casey Kennington:
Vision Language Transformers: A Survey. - Wojciech Jamroga:
Pretty Good Strategies for Benaloh Challenge. - Siyu Cen, Bangti Jin, Yikan Liu, Zhi Zhou:
Recovery of Multiple Parameters in Subdiffusion from One Lateral Boundary Measurement. - Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda:
A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation. - Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images. - Enfa George, Mihai Surdeanu:
It is not Sexually Suggestive, It is Educative. Separating Sex Education from Suggestive Content on TikTok Videos. - Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology. - S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi:
Analyzing the Performance Portability of Tensor Decomposition. - Hans Walter Behrens, Nicolò Vallarano, Claudio J. Tessone:
ChainScience 2023, Conference Proceedings. - Christian Birchler, Cyrill Rohrbach, Hyeongkyun Kim, Alessio Gambi, Tianhai Liu, Jens Horneber, Timo Kehrer, Sebastiano Panichella:
TEASER: Simulation-based CAN Bus Regression Testing for Self-driving Cars Software. - Manaswin Oddiraju, Divyang Amin, Michael Piedmonte, Souma Chowdhury:
Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets. - (Withdrawn) Optimal Scalarizations for Sublinear Hypervolume Regret.
- Andreas Karatzas, Iraklis Anagnostopoulos:
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. - Salem AlJanah, Ning Zhang, Siok Wah Tay:
A Multi-Factor Homomorphic Encryption based Method for Authenticated Access to IoT Devices. - Miguel Lerma, Mirtha Lucas:
A Vulnerability of Attribution Methods Using Pre-Softmax Scores. - Avijit Ghosh, Pablo Kvitca, Christo Wilson:
When Fair Classification Meets Noisy Protected Attributes. - Caleb Ju, Serif Yesil, Mengyuan Sun, Chandra Chekuri, Edgar Solomonik:
Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs. - Janis Keuper:
On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data. - Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang:
InfoSync: Information Synchronization across Multilingual Semi-structured Tables. - Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu:
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. - Linh Anh Nguyen, Ivana Micic, Stefan Stanimirovic:
Depth-Bounded Fuzzy Simulations and Bisimulations between Fuzzy Automata. - Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson:
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment. - Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer:
BiPhone: Modeling Inter Language Phonetic Influences in Text. - Diane Tuyizere, Remy Ihabwikuzo:
Machine Learning to detect cyber-attacks and discriminating the types of power system disturbances. - Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. - Rajib Bhattacharjea, Nathan E. West:
Encoder-Decoder Networks for Self-Supervised Pretraining and Downstream Signal Bandwidth Regression on Digital Antenna Arrays. - Na Zhang:
Facial Landmark Detection Evaluation on MOBIO Database. - Talha Mushtaq, Peter J. Seiler, Maziar S. Hemati:
On the convexity of static output feedback control synthesis for systems with lossless nonlinearities. - Jiacong Mi, Yi Zu, Zhuoyuan Wang, Jieyue He:
ACDNet: Attention-guided Collaborative Decision Network for Effective Medication Recommendation. - Yiru Chen, Jeffrey Tao, Eugene Wu:
DIG: The Data Interface Grammar. - Tanvir Islam, Peter Washington:
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data. - Takumi Ohashi, Miki Saijo, Kento Suzuki, Shinsuke Arafuka:
Deciphering the Drivers of Smart Livestock Technology Adoption in Japan: A Scoping Review, Expert Interviews, and Grounded Theory Approach. - Hengcan Shi, Munawar Hayat, Jianfei Cai:
Open-Vocabulary Object Detection via Scene Graph Discovery. - Jeonghun Park, Jinseok Choi, Namyoon Lee, François Baccelli:
Unified Modeling and Rate Coverage Analysis for Satellite-Terrestrial Integrated Networks: Coverage Extension or Data Offloading? - Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. - Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas:
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels. - Fang Xu, Tri Nguyen, Jing Du:
Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-to-Action. - Zhonghan Zhao, Wenhao Chai, Shengyu Hao, Wenhao Hu, Guanhong Wang, Shidong Cao, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision. - Sara Papi, Peidong Wang, Jun-Kun Chen, Jian Xue, Jinyu Li, Yashesh Gaur:
Token-Level Serialized Output Training for Joint Streaming ASR and ST Leveraging Textual Alignments. - Behzad Akbari, Ya-Jun Pan, Shiwei Liu, Tianye Wang:
Optimized Path Planning for USVs under Ocean Currents. - Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying:
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms. - Ling Chen, Chaodu Song, Xu Wang, Dachao Fu, Feifei Li:
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method. - Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan:
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. - Yuening Zhang, Brian C. Williams:
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. - Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang:
Federated Unlearning via Active Forgetting. - Luke McDermott, Daniel Cummings:
Distilled Pruning: Using Synthetic Data to Win the Lottery. - Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction. - Chunhui Zhang, Xin Sun, Li Liu, Yiqian Yang, Qiong Liu, Xi Zhou, Yanfeng Wang:
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment. - Ammar Sherif, Abubakar Abid, Mustafa Elattar, Mohamed ElHelw:
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map. - Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery. - Angel Felipe Magnossão de Paula, Paolo Rosso, Damiano Spina:
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection. - Bruce W. Lee, BongSeok Yang, Jason Hyung-Jong Lee:
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification. - Rodrigue de Schaetzen, Alessandro Sestini:
Efficient Ground Vehicle Path Following in Game AI. - Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey:
On Formal Feature Attribution and Its Approximation. - Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos:
Teaching Arithmetic to Small Transformers. - Brendan T. Gould, Philip N. Brown:
Rationality and Behavior Feedback in a Model of Vehicle-to-Vehicle Communication. - Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime. - Jaydeb Sarker, Sayma Sultana, Steven R. Wilson, Amiangshu Bosu:
ToxiSpanSE: An Explainable Toxicity Detection in Code Review Comments. - Pu Yang, Xiang-Gen Xia, Qingyue Qu, Han Wang, Yi Liu:
A Joint Design for Full-duplex OFDM AF Relay System with Precoded Short Guard Interval. - Nhi Kieu, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation. - Dongsheng Li, Chen Shen:
A Dynamic Equivalent Method for PMSG Based Wind Farms Under Asymmetrical Faults. - Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. - Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. - Huiyu Li, Pei Liang, Junhua Hu:
A Network Resource Allocation Recommendation Method with An Improved Similarity Measure. - Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Kaoru Sezaki, Esteban Moro, Alex Pentland:
Metropolitan Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories. - Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong:
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. - Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester:
RGB-D Mapping and Tracking in a Plenoxel Radiance Field. - Zilai Zeng, Ce Zhang, Shijie Wang, Chen Sun:
Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning. - Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. - Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin:
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. - Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. - Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning:
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds. - Simon Geerkens, Christian Sieberichs, Alexander Braun, Thomas Waschulzik:
QI2 - an Interactive Tool for Data Quality Assurance. - Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. - Yinghan Guan, Haoran Dai, Zekuan Yu, Shouyu Wang, Yuanjie Gu:
Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection. - Mashari Alatawi, Nitesh Saxena:
Exploring Encrypted Keyboards to Defeat Client-Side Scanning in End-to-End Encryption Systems. - Max Dupré la Tour, Monika Henzinger, David Saulpic:
Differential Privacy for Clustering Under Continual Observation. - Zicheng Zhang, Hao Chen, Xun Cao, Zhan Ma:
Anableps: Adapting Bitrate for Real-Time Communication Using VBR-encoded Video. - Abdul Karim Gizzini, Marwa Chafii:
RNN Based Channel Estimation in Doubly Selective Environments. - Xuesong Wang, Dongsheng Zhang, Zheng Zhang:
A review of dynamics design methods for high-speed and high-precision CNC machine tool feed systems. - Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu:
NOFA: NeRF-based One-shot Facial Avatar Reconstruction. - Guobiao Li, Sheng Li, Meiling Li, Zhenxing Qian, Xinpeng Zhang:
Towards Deep Network Steganography: From Networks to Networks. - Ruochun Zhang, Colin Vanden Heuvel, Alexander Schepelmann, Arno Rogg, Dimitrios Apostolopoulos, Samuel Chandler, Radu Serban, Dan Negrut:
A GPU-accelerated simulator for the DEM analysis of granular systems composed of clump-shaped elements. - Patrick Schnider, Simon Weber:
A Topological Version of Schaefer's Dichotomy Theorem. - Zizheng Yan, Yushuang Wu, Yipeng Qin, Xiaoguang Han, Shuguang Cui, Guanbin Li:
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training. - Joowon Lee, Donggil Lee, Junsoo Kim, Hyungbo Shim:
Encrypted Dynamic Control exploiting Limited Number of Multiplications and a Method using Ring-LWE based Cryptosystem. - Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu:
A Deep Active Contour Model for Delineating Glacier Calving Fronts. - Dominik K. Klein, Fabian J. Roth, Iman Valizadeh, Oliver Weeger:
Parametrised polyconvex hyperelasticity with physics-augmented neural networks. - Zelun Zhang, Xue Pan:
TBGC: Task-level Backbone-Oriented Gradient Clip for Multi-Task Foundation Model Learning. - Ben Wooding, Abolfazl Lavaei, Sadegh Soudjani:
Formal Control of New England 39-Bus Test System: An Assume-Guarantee Approach. - Jan Brederecke:
Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network - 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition. - Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu:
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. - Erik Daniel, Marcel Ebert, Florian Tschorsch:
Improving Bitswap Privacy with Forwarding and Source Obfuscation. - Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song:
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. - Vishwanath R. Singireddy, Manjanna Basappa, N. R. Aravind:
Line-Constrained k-Semi-Obnoxious Facility Location. - Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large AI Model-Based Semantic Communications. - Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini:
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. - Jia-Qi Zhang, Hao-Bin Duan, Jun-Long Chen, Ariel Shamir, Miao Wang:
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution. - Daegun Yoon, Sangyoon Oh:
DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification. - Fleurianne Bertrand, Vitoriano Ruas:
Improving the accuracy of Raviart-Thomas mixed elements in two-dimensional smooth domains with straight-edged triangles. - Ben Chen, Caihua Xiong, Quanlin Li, Zhonghua Wan:
RCDN - Robust X-Corner Detection Algorithm based on Advanced CNN Model. - Dean Ninalga:
Derivative Free Weight-space Ensembling. - Leonardo Cianfanelli, Giacomo Como:
On logit dynamics in population games. - Paolo Soleni, Wouter B. Verschoof-van der Vaart, Ziga Kokalj, Arianna Traviglia, Marco Fiorucci:
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data. - Afsana Khan, Marijn ten Thij, Frank Thuijsman, Anna Wilbik:
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem. - Shrinivas Chimmalgi, Andrej Rode, Luca Schmid, Laurent Schmalen:
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation. - Christian Komusiewicz, Jannik Schestag:
A Multivariate Complexity Analysis of the Generalized Noah's Ark Problem. - Christine Hegedues, Joao Pedro Dias Constantino, Laurits Dixen, Paolo Burelli:
Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activity. - Ying Feng, David P. Woodruff:
Improved Algorithms for White-Box Adversarial Streams. - Simon Leglaive, Léonie Borne, Efthymios Tzinis, Mostafa Sadeghi, Matthieu Fraticelli, Scott Wisdom, Manuel Pariente, Daniel Pressnitzer, John R. Hershey:
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. - Sarenne Wallbridge, Peter Bell, Catherine Lai:
Quantifying the perceptual value of lexical and non-lexical channels in speech. - Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, Ke Yan:
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. - Chenping Fu, Wanqi Yuan, Jiewen Xiao, Risheng Liu, Xin Fan:
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios. - Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim:
Language-free Compositional Action Generation via Decoupling Refinement. - Benjamin Clavié, Guillaume Soulié:
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers. - Naoise Holohan:
Random Number Generators and Seeding for Differential Privacy. - Emmanouil Karystinaios, Gerhard Widmer:
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features. - Tamás Dávid-Barrett, Sebastian Diaz, Carlos Rodríguez-Sickert, Isabel Behncke, Anna Rotkirch, János Kertész, Loreto Bravo:
In A Society of Strangers, Kin Is Still Key: Identified Family Relations In Large-Scale Mobile Phone Data. - Ipek Baris Schlicht, Lynn Khellaf, Defne Altiok:
DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data Sampling. - Emmanuel Hartman, Emery Pierson:
VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data. - Jack H. Culbert:
4TCT, A 4chan Text Collection Tool. - Seungwan Woo, Jeongseok Kim, Kangjin Kim:
We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination. - Clément Bertrand, Cinzia Di Giusto, Hanna Klaudel, Damien Regnault:
Complexity of Membership and Non-Emptiness Problems in Unbounded Memory Automata. - Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren:
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. - Junqing Chen, Ming Sun:
Edge Element Approximation for the Spherical Interface Dynamo System. - Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel:
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks. - Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad-Khasmakhi, Philipp Schaer:
Text Simplification of Scientific Texts for Non-Expert Readers. - Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer:
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization. - Maryamalsadat Mahootiha, Hemin Ali Qadir, Jacob Bergsland, Ilangko Balasingham:
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data. - Arvind V. Mahankali, Tatsunori B. Hashimoto, Tengyu Ma:
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention. - Mark Vero, Mislav Balunovic, Martin T. Vechev:
Programmable Synthetic Tabular Data Generation. - Valentin Comte, Mireia Alenyà, Andrea Urru, Judith Recober, Ayako Nakaki, Francesca Crovetto, Oscar Camara, Eduard Gratacós, Elisenda Eixarch, Fátima Crispi, Gemma Piella, Mario Ceresa, Miguel Ángel González Ballester:
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration. - Mattia Giovanni Campana, Franca Delmastro:
ContextLabeler Dataset: physical and virtual sensors data collected from smartphone usage in-the-wild. - Nicklas Werge, Abdullah Akgül, Melih Kandemir:
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits. - Aparna Bansal, Nicolás Alejandro Barnafi, Dwijendra Narain Pandey:
Nitsche method for Navier-Stokes equations with slip boundary conditions: Convergence analysis and VMS-LES stabilization. - Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu:
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. - Paula Feldman, Miguel Fainstein, Viviana Siless, Claudio Delrieux, Emmanuel Iarussi:
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis. - Sitan Yang, Malcolm Wolff, Shankar Ramasubramanian, Vincent Quenneville-Bélair, Ronak Metha, Michael W. Mahoney:
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting. - Shaohan Wu, Brian L. Hughes:
Antenna Impedance Estimation in Correlated Rayleigh Fading Channels. - Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Kai Chen, Ping Luo:
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. - Matvei Panteleev, Houari Bettahar:
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal. - Georgios Papaioannou, Raj Desai, Riender Happee:
The impact of body and head dynamics on motion comfort assessment. - Adam D. G. Jenkins, Maria Wolters, Kami Vaniea:
To Patch, or not To Patch? That is the Question: A Case Study of System Administrators' Online Collaborative Behaviour. - Kareem A. Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, Xiao Liang:
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles. - Kaiwen Cai, Qiyue Xia, Peize Li, John A. Stankovic, Chris Xiaoxuan Lu:
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion. - Dániel Rácz, Mihály Petreczky, Bálint Daróczy:
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs. - Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau:
Discovering Variable Binding Circuitry with Desiderata. - (Withdrawn) Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition.
- Laura Toni, Pascal Frossard:
Online Network Source Optimization with Graph-Kernel MAB. - S. Magalí López Cortez, Cassandra L. Jacobs:
The distribution of discourse relations within and across turns in spontaneous conversation. - José Álamos, Thomas C. Schmidt, Matthias Wählisch:
6LoRa: Full Stack IPv6 Networking with DSME-LoRa on Low Power IoT Nodes. - Paola Inverardi, Patrizio Migliarini, Massimiliano Palmiero:
Systematic Review on Privacy Categorization. - Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn:
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation. - Ethan Gotlieb Wilcox, Tiago Pimentel, Clara Meister, Ryan Cotterell, Roger P. Levy:
Testing the Predictions of Surprisal Theory in 11 Languages. - Simranjeet Singh, Chandan Kumar Jha, Ankit Bende, Phrangboklang Lyngton Thangkhiew, Vikas Rana, Sachin B. Patkar, Rolf Drechsler, Farhad Merchant:
Should We Even Optimize for Execution Energy? Rethinking Mapping for MAGIC Design Style. - Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio:
Simulation-free Schrödinger bridges via score and flow matching. - Takahiro Mimori, Michiaki Hamada:
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies. - Yuhan Ji, Song Gao:
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations. - Shreyanth S:
Undecimated Wavelet Transform for Word Embedded Semantic Marginal Autoencoder in Security improvement and Denoising different Languages. - Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel:
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. - Irene Ferreira, Chris Harbron, Alex Hughes, Tamsin Sargood, Christoph Gerlinger:
Anonymising Clinical Data for Secondary Use. - Jian Song, Guanjun Liu:
Model Checking ofWorkflow Nets with Tables and Constraints. - W. G. Prabath Jayatissa, Roshan Hewapathirane:
A review of dental informatics : current trends and future directions. - Reagan Mozer, Aaron Russell Kaufman, Leo Anthony Celi, Luke Miratrix:
Leveraging text data for causal inference using electronic health records. - Juan G. Restrepo, Per Sebastian Skardal:
Suppressing unknown disturbances to dynamical systems using machine learning. - Jessica Maria Echterhoff, An Yan, Julian J. McAuley:
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews. - Waseem AlShikh, Manhal Daaboul, Kirk Goddard, Brock Imel, Kiran Kamble, Parikshith Kulkarni, Melisa Russak:
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning. - Martín Bertrán, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu:
Scalable Membership Inference Attacks via Quantile Regression. - Sinem Getir Yaman, Ana Cavalcanti, Radu Calinescu, Colin Paterson, Pedro Ribeiro, Beverley A. Townsend:
Specification, Validation and Verification of Social, Legal, Ethical, Empathetic and Cultural Requirements for Autonomous Agents. - Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye:
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. - Gijs van Cuyck, Lars van Arragon, Jan Tretmans:
Compositionality in Model-Based Testing. - Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters:
Equivariant Single View Pose Prediction Via Induced and Restricted Representations. - Zhongliang Jiang, Yuan Bi, Mingchuan Zhou, Ying Hu, Michael Burke, Nassir Navab:
Intelligent Robotic Sonographer: Mutual Information-based Disentangled Reward Learning from Few Demonstrations. - Yohann de Castro, Vincent Duval, Romain Petit:
Exact recovery of the support of piecewise constant images via total variation regularization. - Lakshmi Nair, Mikhail Bernadskiy, Arulselvan Madhavan, Craig Chan, Ayon Basumallik, Darius Bunandar:
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers. - Cameron Berg, Vittorio Caggiano, Vikash Kumar:
SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation. - Markus Anderljung, Joslyn Barnhart, Anton Korinek, Jade Leung, Cullen O'Keefe, Jess Whittlestone, Shahar Avin, Miles Brundage, Justin Bullock, Duncan Cass-Beggs, Ben Chang, Tantum Collins, Timothy Fist, Gillian K. Hadfield, Alan Hayes, Lewis Ho, Sara Hooker, Eric Horvitz, Noam Kolt, Jonas Schuett, Yonadav Shavit, Divya Siddarth, Robert Trager, Kevin Wolf:
Frontier AI Regulation: Managing Emerging Risks to Public Safety. - Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn:
Polybot: Training One Policy Across Robots While Embracing Variability. - Alexander J. M. Milne, Xianghua Xie:
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models. - Gabriela Morillo, John Cosmas:
LTE SFBC MIMO Transmitter Modelling and Performance Evaluation. - Maria Teresa Parreira, Michael J. Sack, Hifza Javed, Nawid Jamali, Malte F. Jung:
"How Did They Come Across?" Lessons Learned from Continuous Affective Ratings. - Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. - Tommaso Pegolotti, Elias Frantar, Dan Alistarh, Markus Püschel:
QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models. - Vladan Stojnic, Zakaria Laskar, Giorgos Tolias:
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning. - Vitoriano Ruas:
Fine stability constants and error bounds for asymmetric approximate saddle point problems. - Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman:
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment. - Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Gotlieb Wilcox, Ryan Cotterell:
On the Efficacy of Sampling Adapters. - Zhijian Xu, Ailing Zeng, Qiang Xu:
FITS: Modeling Time Series with 10k Parameters. - Chen Sun, Shiyao Ma, Ce Zheng, Songtao Wu, Tao Cui, Lingjuan Lyu:
Federated Learning over a Wireless Network: Distributed User Selection through Random Access. - Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. - Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-Mei W. Hwu:
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. - Mengjie Zhao, Olga Fink:
Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks. - Yuxi Ma, Chi Zhang, Song-Chun Zhu:
Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models. - Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh:
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. - Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D out-of-distribution detection with latent diffusion models. - Rupak Majumdar, Mahmoud Salamati, Sadegh Soudjani:
Neural Abstraction-Based Controller Synthesis and Deployment. - Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram:
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. - Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer. - Debasmita Pal, Arun Ross:
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network. - Karthika Venkatesan, Sujit Kumar Chakrabarti:
ConStaBL - A Fresh Look at Software Engineering with State Machines. - Haris Aziz, Gergely Csáji, Ágnes Cseh:
Computational complexity of k-stable matchings. - Kelly Shortridge:
From Lemons to Peaches: Improving Security ROI through Security Chaos Engineering. - Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie, Sebastian Risi:
CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution. - Manuela Andreea Petrescu, Kuderna-Iulian Benta:
Student Teacher Interaction While Learning Computer Science: Early Results from an Experiment on Undergraduates. - Jovon Craig, Joshua Andle, Theodore S. Nowak, Salimeh Yasaei Sekeh:
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness. - Manuela Andreea Petrescu, Emilia-Loredana Pop:
Student's Attraction for a Carrier Path Related to Databases and SQL: Usability vs Efficiency in Students' Perception -Case Study. - Emilia-Loredana Pop, Manuela Andreea Petrescu:
Tendencies in Database Learning for Undergraduate Students: Learning In-Depth or Getting the Work Done? - Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci:
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates. - Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier:
Controlling Chaotic Maps using Next-Generation Reservoir Computing. - Vinod Raman, Unique Subedi, Ambuj Tewari:
A Combinatorial Characterization of Online Learning Games with Bounded Losses. - Zachary Englhardt, Richard Li, Dilini Nissanka, Zhihan Zhang, Girish Narayanswamy, Joseph Breda, Xin Liu, Shwetak N. Patel, Vikram Iyer:
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging. - Nathan Cordner, George Kollios:
Efficient Correlation Clustering Methods for Large Consensus Clustering Instances. - Stephen Brooks:
Higher-Order Corrections to Optimisers based on Newton's Method. - Sireesh Gururaja, Ritam Dutt, Tinglong Liao, Carolyn P. Rosé:
Linguistic representations for fewer-shot relation extraction across domains. - Robert Capra, Jaime Arguello:
How does AI chat change search behaviors? - Rojin Zandi, Hojjat Salehinejad, Kian Behzad, Elaheh Motamedi, Milad Siami:
Robot Motion Prediction by Channel State Information. - Zhongyu Jiang, Zhuoran Zhou, Lei Li, Wenhao Chai, Cheng-Yen Yang, Jenq-Neng Hwang:
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation. - Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
RADAR: Robust AI-Text Detection via Adversarial Learning. - Jessica Yin, Paarth Shah, Naveen Kuppuswamy, Andrew Beaulieu, Avinash Uttamchandani, Alejandro M. Castro, James H. Pikul, Russ Tedrake:
Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation. - Yang Cai, Christopher Liaw, Aranyak Mehta, Mingfei Zhao:
The Power of Two-sided Recruitment in Two-sided Markets. - Michael Leumüller, Joachim Schöberl:
Error Analysis of an HDG Method with Impedance Traces for the Helmholtz Equation. - Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth:
Blocks2World: Controlling Realistic Scenes with Editable Primitives. - Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas:
Optimal Learners for Realizable Regression: PAC Learning and Online Learning. - Juan Augusto Paredes, Omran Kouba, Dennis S. Bernstein:
Self-Excited Dynamics of Discrete-Time Lur'e Models with Affinely Constrained, Piecewise-C1 Feedback Nonlinearities. - Asif Kamal Turzo, Fahim Faysal, Ovi Poddar, Jaydeb Sarker, Anindya Iqbal, Amiangshu Bosu:
Towards Automated Classification of Code Review Feedback to Support Analytics. - Amr Gomaa, Bilal Mahdy, Niko Kleer, Michael Feld, Frank Kirchner, Antonio Krüger:
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems. - B. M. Tazbiul Hassan Anik, Zubayer Islam, Mohamed A. Abdel-Aty:
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data. - Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy:
Novel Categories Discovery from probability matrix perspective. - Hua Cheng, Rana Jafari, April Russell, Russell Klopfer, Edmond Lu, Benjamin Striner, Matthew R. Gormley:
MDACE: MIMIC Documents Annotated with Code Evidence. - Oluwaseyi Ogunfowora, Homayoun Najjaran:
Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization. - Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. - Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon:
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment. - Rawan Alkurd, Ibrahim Y. Abualhaol, Halim Yanikomeroglu:
Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization. - Pouya Samanipour, Hasan A. Poonawala:
Automated Stability Analysis of Piecewise Affine Dynamics Using Vertices. - Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki:
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. - Weilin Deng, Daowen Qiu, Jingkai Yang:
Opacity of Parametric Discrete Event Systems: Models, Decidability, and Algorithms. - Dhiraj Neupane, Lakpa Dorje Tamang, Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal:
HUMS2023 Data Challenge Result Submission. - Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache:
Large Language Models for Supply Chain Optimization. - Daijin Yang:
Designing Mixed-Initiative Video Games. - Kosta Dakic, Chiu Chun Chan, Bassel Al Homssi, Kandeepan Sithamparanathan, Akram Al-Hourani:
On Delay Performance in Mega Satellite Networks with Inter-Satellite Links. - Kishore Srinivas, Shreya Ganti, Rishi Parikh, Ayah Ahmad, Wisdom C. Agboh, Mehmet Remzi Dogar, Ken Goldberg:
The Busboy Problem: Efficient Tableware Decluttering Using Consolidation and Multi-Object Grasps. - Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. - Robin Netzorg, Jiaxun Li, Bin Yu:
Improving Prototypical Part Networks with Reward Reweighing, Reselection, and Retraining. - Jie Yin, Hao Yin, Conghui Liang, Zhengyou Zhang:
Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots. - Reza Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar:
MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms. - Hy Dang, Bang Nguyen, Noah Ziems, Meng Jiang:
Embedding Mental Health Discourse for Community Recommendation. - Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. - (Withdrawn) StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation.
- Sourav Chakraborty, Chandrima Kayal, Rajat Mittal, Manaswi Paraashar, Swagato Sanyal, Nitin Saurabh:
On the Composition of Randomized Query Complexity and Approximate Degree. - Suchismita Das, Nikhil R. Pal:
Feature selection simultaneously preserving both class and cluster structures. - Huafeng Li, Le Xu, Yafei Zhang, Dapeng Tao, Zhengtao Yu:
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification. - Xuelong Gu, Wenjun Cai, Yushun Wang:
A novel high-order linearly implicit and energy-stable additive Runge-Kutta methods for gradient flow models. - Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
ScriptWorld: Text Based Environment For Learning Procedural Knowledge. - Noopur Zambare, Ravindranath Sawane:
Incorporating Deep Q - Network with Multiclass Classification Algorithms. - Jared Flowers, Marco Faroni, Gloria J. Wiens, Nicola Pedrocchi:
Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration. - Murat Isik:
A Survey of Spiking Neural Network Accelerator on FPGA. - Takreem Haider, Saúl A. Blanco, Umar Hayat:
A Novel Pseudo-Random Number Generator Based on Multi-Objective Optimization for Image-Cryptographic Applications. - Wei Xu, Zaifeng Gao:
Applying human-centered AI in developing effective human-AI teaming: A perspective of human-AI joint cognitive systems. - Noaman Khan, Erin C. Carson:
Mixed Precision Iterative Refinement with Adaptive Precision Sparse Approximate Inverse Preconditioning. - Congqi Cao, Ze Sun, Qinyi Lv, Lingtong Min, Yanning Zhang:
VS-TransGRU: A Novel Transformer-GRU-based Framework Enhanced by Visual-Semantic Fusion for Egocentric Action Anticipation. - Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. - Shravan Bhat, Nithin R, Pranav S:
Enhancing Room Security and Automating Class Attendance Using ID Cards. - Georgios Kaissis, Jamie Hayes, Alexander Ziller, Daniel Rueckert:
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy. - April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. - Vikas Natesh, Andrew Sabot, H. T. Kung, Mark Ting:
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels. - Dongyue Sun, Shiyao Jiang, Lin Qi:
Edge-Aware Mirror Network for Camouflaged Object Detection. - Olga Krestinskaya, Li Zhang, Khaled Nabil Salama:
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives. - Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu:
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. - Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu:
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions. - Yuxuan Song, Xinyue Li, Lin Qi:
Camouflaged Object Detection with Feature Grafting and Distractor Aware. - Khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Stephan Pachnicke:
Fault Monitoring in Passive Optical Networks using Machine Learning Techniques. - George Tom, Minesh Mathew, Sergi Garcia-Bordils, Dimosthenis Karatzas, C. V. Jawahar:
Reading Between the Lanes: Text VideoQA on the Road. - Yu Ji, Wen Wu, Hong Zheng, Yi Hu, Xi Chen, Liang He:
Is ChatGPT a Good Personality Recognizer? A Preliminary Study. - Markus Dahlmanns, Constantin Sander, Robin Decker, Klaus Wehrle:
Secrets Revealed in Container Images: An Internet-wide Study on Occurrence and Impact. - Jia Yu, Mengjun Ding, Weiqiang Sun, Weisheng Hu, Huiru Wang:
Understanding the power-law nature of participation in community sports organizations. - Seung-Hyun Nam, Hyun-Young Park, Si-Hyeon Lee:
Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared Randomness. - Nischal Ashok Kumar, Nitin Gupta, Shanmukha C. Guttula, Hima Patel:
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems. - Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
End-to-End Supervised Multilabel Contrastive Learning. - Yoginder Kumar Negi, N. Balakrishnan, S. M. Rao:
Multi-Level Power Series Solution for Large Surface and Volume Electric Field Integral Equation. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Bui Phi Diep, Lukás Holík, Petr Janku:
Chain-Free String Constraints (Technical Report). - Sara Ayhan:
What is the meaning of proofs? A Fregean distinction in proof-theoretic semantics. - Fanyi Qu, Yunfang Wu:
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task. - Shuang Wu, Bo Yu, Shaoshan Liu, Yuhao Zhu:
Autonomy 2.0: The Quest for Economies of Scale. - Maximiliano Cristiá, Catherine Dubois:
Comparing EventB, log and Why3 Models of Sparse Sets. - Marios Adamoudis, Konstantinos A. Draziotis, Dimitrios Poulakis:
Attacking (EC)DSA scheme with ephemeral keys sharing specific bits. - (Withdrawn) Building and Road Segmentation Using EffUNet and Transfer Learning Approach.
- L. Bhargava Kumar, Ramavath Prasad Naik, Datta Choudhari, Prabu Krishnan, Goutham Simha G. D, Jagadeesh V. K:
BER Analysis of Full Duplex Relay assisted BPSK-SIM based VLC System for Indoor Applications. - Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. - Yanshi Sun, Wei Cao, Momiao Zhou, Zhiguo Ding:
Hybrid Successive Interference Cancellation and Power Adaptation: a Win-Win Strategy for Robust Uplink NOMA Transmission. - Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith:
Optimizing Task Waiting Times in Dynamic Vehicle Routing. - Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu:
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. - Wenjin Li, Kai Li:
PCG-based Static Underground Garage Scenario Generation. - Ganglai Wang, Peng Zhang, Junwen Xiong, Feihan Yang, Wei Huang, Yufei Zha:
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction. - Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang:
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. - Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu:
Market Design for Dynamic Pricing and Pooling in Capacitated Networks. - Saifullah Mahbub, Md. Easin Arafat, Chowdhury Rafeed Rahman, Zannatul Ferdows, Masum Hasan:
ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation. - Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin:
Efficient Model-Free Exploration in Low-Rank MDPs. - Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu:
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping. - Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li:
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. - Harnaik Dhami, Vishnu D. Sharma, Pratap Tokekar:
MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction. - Rineke Verbrugge:
Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge, TARK 2023, Oxford, United Kingdom, 28-30th June 2023. EPTCS 379, 2023 [contents] - Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson:
Toward Interactive Dictation. - Sean Flynn, Francesco Bronzino, Paul Schmitt:
Internet Localization of Multi-Party Relay Users: Inherent Friction Between Internet Services and User Privacy. - Qiang Wang, Pablo Martinez Ulloa, Robert Burke, David Cordova Bulens, Stephen J. Redmond:
Robust Learning-Based Incipient Slip Detection using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping. - Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez:
BPNet: Bézier Primitive Segmentation on 3D Point Clouds. - Amirhossein Askari-Farsangi, Ali Sharifi-Zarchi, Mohammad Hossein Rohban:
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers. - Qi Wang, Shubing Zhang, Li Zhou:
Emotion-Guided Music Accompaniment Generation Based on Variational Autoencoder. - Alex Cabral, Vaishnavi Nattar Ranganathan, Jim Waldo:
Cellular LTE and Solar Energy Harvesting for Long-Term, Reliable Urban Sensor Networks: Challenges and Opportunities. - Vladimir N. Temlyakov:
On universal sampling recovery in the uniform norm. - Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang:
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Ihab S. Mohamed, Mahmoud Ali, Lantao Liu:
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. - Sören Bartels, Alex Kaltenbach:
Explicit a posteriori error representation for variational problems and application to TV-minimization. - Zixuan Chen, Zhigao Zhao, Zijian Li, Jiang Shao, Sen Liu, Yang Xu:
SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research. - Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. - Stephen Casper, Zifan Guo, Shreya Mogulothu, Zachary Marinov, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell:
Measuring the Success of Diffusion Models at Imitating Human Artists. - Nimrod Megiddo:
On "Indifference" and Backward Induction in Games with Perfect Information. - Mohsen Sombolestan, Quan Nguyen:
Adaptive Force-Based Control of Dynamic Legged Locomotion over Uneven Terrain. - Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
Learning Variational Neighbor Labels for Test-Time Domain Generalization. - Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, Young-Ho Kim, Sungsoo Ray Hong:
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations. - Eduardo Carvalho Nunes:
Employing Drones in Agriculture: An Exploration of Various Drone Types and Key Advantages. - Guy Blanc, Caleb Koch, Carmen Strassle, Li-Yang Tan:
A Strong Composition Theorem for Junta Complexity and the Boosting of Property Testers. - Constantinos Chamzas, Caelan Reed Garrett, Balakumar Sundaralingam, Lydia E. Kavraki, Dieter Fox:
Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation. - Alexander Nikiporenko:
Time-limited Metaheuristics for Cardinality-constrained Portfolio Optimisation. - Mohammadsepehr Karimiziarani:
Social Media Analytics in Disaster Response: A Comprehensive Review. - Qin Zhang, Linghan Xu, Qingming Tang, Jun Fang, Ying Nian Wu, Joe Tighe, Yifan Xing:
Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning. - Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic:
Parallel Algorithms Align with Neural Execution. - Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Alan L. Erera, Pascal Van Hentenryck:
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks. - Tran Hien Van, Abhay Goyal, Muhammad Siddique, Lam Yin Cheung, Nimay Parekh, Jonathan Huang, Keri McCrickerd, Edson C. Tandoc Jr., Gerard Chung, Navin Kumar:
How is Fatherhood Framed Online in Singapore? - Sen Lu, Abhronil Sengupta:
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity. - Kevin Christian Wibisono, Yixin Wang:
Bidirectional Attention as a Mixture of Continuous Word Experts. - Chee-Wei Tan, Pei-Duo Yu:
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms. - Jiaqi Jiang, Jonathan A. Fan:
Large-scale global optimization of ultra-high dimensional non-convex landscapes based on generative neural networks. - Mingzhen Shao:
Random Position Adversarial Patch for Vision Transformers. - Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng:
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data. - Zhonghua Sun, Cunsheng Ding:
The extended codes of a family of reversible MDS cyclic codes. - Jianqiao Mo, Karthik Garimella, Negar Neda, Austin Ebel, Brandon Reagen:
Towards Fast and Scalable Private Inference. - Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? - Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin:
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance. - Ertem Nusret Tas, Dan Boneh:
Vector Commitments with Efficient Updates. - Bo Zhao, Boya Wu, Tiejun Huang:
SVIT: Scaling up Visual Instruction Tuning. - Allen Roush:
DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs. - Jun Cen, Shiwei Zhang, Yixuan Pei, Kun Li, Hang Zheng, Maochun Luo, Yingya Zhang, Qifeng Chen:
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation. - Caleb Koch, Carmen Strassle, Li-Yang Tan:
Properly Learning Decision Trees with Queries Is NP-Hard. - Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Mixture of Gaussians for Deep Continual Learning. - Om Rameshwar Gatla, Duo Zhang, Wei Xu, Mai Zheng:
Understanding Persistent-Memory Related Issues in the Linux Kernel. - Tom Sherborne, Tom Hosking, Mirella Lapata:
Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing. - Feng Xiao, Ruoyu Sun, Jicong Fan:
Restricted Generative Projection for One-Class Classification and Anomaly Detection. - Andreas Metzger, Jan Laufer, Felix Feit, Klaus Pohl:
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems. - Tao Wu, Tie Luo, Donald C. Wunsch:
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty. - Nati Ofir:
Visible and infrared self-supervised fusion trained on a single example. - Zhiling Guo, Xiaodan Shi, Haoran Zhang, Dou Huang, Xiaoya Song, Jinyue Yan, Ryosuke Shibasaki:
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets. - Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang:
CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection. - Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou:
Towards Assumption-free Bias Mitigation. - Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez:
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View. - Chi-Yeh Chen:
Efficient Approximation Algorithms for Scheduling Coflows with Precedence Constraints in Identical Parallel Networks to Minimize Weighted Completion Time. - Yoav Kolumbus, Menahem Levy, Noam Nisan:
Asynchronous Proportional Response Dynamics in Markets with Adversarial Scheduling. - Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki:
Learning Space-Time Continuous Neural PDEs from Partially Observed States. - Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise:
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. - Zihao Jiang, Yunkai Dang, Dong Pang, Huishuai Zhang, Weiran Huang:
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? - Qingran Wang, Jia Yu, Mengjun Ding, Weiqiang Sun:
Twotier - A Layered Analysis of Backbone Members in a Moderate Sized Community Sports Organization. - Haruka Tomita:
Categorical Realizability for Non-symmetric Closed Structures. - Rajat Arora:
A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I. - Shulin Tian, Yufei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Enhancing Low-Light Images Using Infrared-Encoded Images. - Jonathan E. Avila, Nigel G. Ward:
Towards cross-language prosody transfer for dialog. - Ao Shen, Yijie Zhu, Richard Jiang:
Marine Debris Detection in Satellite Surveillance using Attention Mechanisms. - Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu:
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers. - Yiyang Zhao, Tian Guo:
Carbon-Efficient Neural Architecture Search. - Amrit Diggavi Seshadri, Alessandra Russo:
Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition. - Yilan Zhang, Jianqi Chen, Ke Wang, Fengying Xie:
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification. - Quoc Hung Cao, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Xuan Phong Nguyen:
A Novel Explainable Artificial Intelligence Model in Image Classification problem. - Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri:
On The Impact of Machine Learning Randomness on Group Fairness. - Ran Duan, Jiayi Mao, Xinkai Shu, Longhui Yin:
A Randomized Algorithm for Single-Source Shortest Path on Undirected Real-Weighted Graphs. - Anurag Dhote, Mohammed Javed, David S. Doermann:
A Survey and Approach to Chart Classification. - Luca Cuomo, Claudio Scordino, Alessandro Ottaviano, Nils Wistoff, Robert Balas, Luca Benini, Errico Guidieri, Ida Maria Savino:
Towards a RISC-V Open Platform for Next-generation Automotive ECUs. - Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad:
Latent Graph Attention for Enhanced Spatial Context. - Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse:
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. - Xavier Bou, Aitor Artola, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, Rafael Grompone von Gioi:
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling. - Feng Dai, Vladimir N. Temlyakov:
Lebesgue-type inequalities in sparse sampling recovery. - Bowen Yi, Ian R. Manchester:
On IMU preintegration: A nonlinear observer viewpoint and its application. - Derick Nganyu Tanyu, Isabel Michel, Andreas Rademacher, Jörg Kuhnert, Peter Maass:
Parameter Identification by Deep Learning of a Material Model for Granular Media. - Anubhab Das, Sanja Scepanovic, Luca Maria Aiello, Remington Mallett, Deirdre Barrett, Daniele Quercia:
Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach. - Rao Ma, Mengjie Qian,