All Papers
34,598 papers found • Page 629 of 692
Conference
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha, Kyunghyun Cho, Taesup Moon
Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act
Huixin Zhong, Eamonn O'Neill, Janina Hoffmann
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
Peiyu Yang, Naveed Akhtar, Shah Mubarak et al.
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
Litian Zhang, Xiaoming Zhang, Chaozhuo Li et al.
Reinforcement Learning and Data
Generation for Syntax-Guided Synthesis
Reinforcement Learning and Regret Bounds for Admission Control
Lucas Weber, Ana Busic, Jiamin ZHU
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.
Reinforcement Learning Friendly Vision-Language Model for Minecraft
Haobin Jiang, Junpeng Yue, Hao Luo et al.
Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
Jakub Svoboda, Suguman Bansal, Krishnendu Chatterjee
Reinforcement Learning Meets Visual Odometry
Nico Messikommer, Giovanni Cioffi, Mathias Gehrig et al.
Reinforcement Learning via Auxillary Task Distillation
Abhinav Narayan Harish, Larry Heck, Josiah P Hanna et al.
Reinforcement Learning within Tree Search for Fast Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu et al.
Reinforcement Symbolic Regression Machine
Yilong Xu, Yang Liu, Hao Sun
Reinformer: Max-Return Sequence Modeling for Offline RL
Zifeng Zhuang, Dengyun Peng, Jinxin Liu et al.
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist, Shichong Peng, Ke Li
Rejuvenating image-GPT as Strong Visual Representation Learners
Sucheng Ren, Zeyu Wang, Hongru Zhu et al.
Relational Distant Supervision for Image Captioning without Image-Text Pairs
Yayun Qi, Wentian Zhao, Xinxiao Wu
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee, Gagandeep Singh
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen, Cong Fang, Zhouchen Lin et al.
Relational Matching for Weakly Semi-Supervised Oriented Object Detection
Wenhao Wu, Hau San Wong, Si Wu et al.
Relational Programming with Foundational Models
Ziyang Li, Jiani Huang, Jason Liu et al.
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Relation Rectification in Diffusion Model
Yinwei Wu, Xingyi Yang, Xinchao Wang
Relative Policy-Transition Optimization for Fast Policy Transfer
Jiawei xu, Cheng Zhou, Yizheng Zhang et al.
Relaxed Contrastive Learning for Federated Learning
Seonguk Seo, Jinkyu Kim, Geeho Kim et al.
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Thomas Pouplin, Alan Jeffares, Nabeel Seedat et al.
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
Woosung Kim, Donghyeon Ki, Byung-Jun Lee
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
Jian Hu, Jiayi Lin, Shaogang Gong et al.
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
Haoxuan Li, Chunyuan Zheng, Shuyi Wang et al.
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Anthony Bardou, Patrick Thiran, Thomas Begin
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Jiayan Teng, Wendi Zheng, Ming Ding et al.
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
Xiaoyi Bao, Jie Qin, Siyang Sun et al.
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
Ming Yan, Yan Zhang, Shuqiang Cai et al.
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
Thibaut Loiseau, Tuan Hung Vu, Mickael Chen et al.
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Chao Gong, Kai Chen, Zhipeng Wei et al.
Reliable Conflictive Multi-View Learning
Cai Xu, Jiajun Si, Ziyu Guan et al.
Reliable Data Generation and Selection for Low-Resource Relation Extraction
Junjie Yu, Xing Wang, Wenliang Chen
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation
Haozhi Cao, Yuecong Xu, Jianfei Yang et al.
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing
Jian Gao, chun gu, Youtian Lin et al.
Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng et al.
Relightable and Animatable Neural Avatars from Videos
Wenbin Lin, Chengwei Zheng, Jun-hai Yong et al.
Relightable Gaussian Codec Avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon et al.
Relightable Neural Actor with Intrinsic Decomposition and Pose Control
Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski et al.
Relightful Harmonization: Lighting-aware Portrait Background Replacement
Mengwei Ren, Wei Xiong, Jae Shin Yoon et al.
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild
Chen Guo, Tianjian Jiang, Manuel Kaufmann et al.
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde et al.
ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate
Chenghao Liu, Minghua Chen
ReLUs Are Sufficient for Learning Implicit Neural Representations
Joseph Shenouda, Yamin Zhou, Robert Nowak
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta et al.
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
Andrew Jesson, Christopher Lu, Gunshi Gupta et al.