Papers
11,951 papers found
Real-Time Neural Voice Camouflage
Mia Chiquier, Chengzhi Mao, Carl Vondrick
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li et al.
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu et al.
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli
RegionViT: Regional-to-Local Attention for Vision Transformers
Chun-Fu Chen, Rameswar Panda, Quanfu Fan
Regularized Autoencoders for Isometric Representation Learning
Yonghyeon Lee, Sangwoong Yoon, MinJun Son et al.
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
Hang Ren, Aivar Sootla, Taher Jafferjee et al.
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
Zhi Zhang, Zhuoran Yang, Han Liu et al.
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh et al.
Relating transformers to models and neural representations of the hippocampal formation
James C. R. Whittington, Joseph Warren, Tim E.J. Behrens
Relational Learning with Variational Bayes
Kuang-Hung Liu
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Surrogate Loss Learning
Tao Huang, Zekang Li, Hua Lu et al.
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Dingfan Chen, Ning Yu, Mario Fritz
Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu, Jiangchao Yao, Bo Han et al.
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma, Weili Nie, Zhiding Yu et al.
Representation-Agnostic Shape Fields
Xiaoyang Huang, Jiancheng Yang, Yanjun Wang et al.
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan, Jaehong Yoon, Yuanchun Li et al.
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara, Xuezhou Zhang, Wen Sun
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
dongsheng wang, Dan dan Guo, He Zhao et al.
Resolving Training Biases via Influence-based Data Relabeling
Shuming Kong, Yanyan Shen, Linpeng Huang
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Kirby Banman, Garnet Liam Peet-Pare, Nidhi Hegde et al.
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu, Vladislav Skripniuk, Dingfan Chen et al.
Rethinking Adversarial Transferability from a Data Distribution Perspective
Yao Zhu, Jiacheng Sun, Zhenguo Li
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
Yu Yao, Tongliang Liu, Bo Han et al.