Papers
11,015 papers found
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.
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang, Yiming Lu, Wenzhe Li et al.
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma, Can Qin, Haoxuan You et al.
Rethinking Supervised Pre-Training for Better Downstream Transferring
Yutong Feng, Jianwen Jiang, Mingqian Tang et al.
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin, Xuanchi Ren, Chong Luo et al.
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong, Yuguang Yao, Yize Li et al.
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
Taesung Kim, Jinhee Kim, Yunwon Tae et al.
Revisiting Design Choices in Offline Model Based Reinforcement Learning
Cong Lu, Philip Ball, Jack Parker-Holder et al.
Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang, Sun Sun, Yaoliang Yu
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi, JIAHUI GAO, Hang Xu et al.
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Shaochen Zhong, Guanqun Zhang, Ningjia Huang et al.
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang, Katherine Shu, Kimin Lee et al.
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma, Tao Du, Joshua B. Tenenbaum et al.
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H Fowl, Jonas Geiping, Wojciech Czaja et al.
Robust and Scalable SDE Learning: A Functional Perspective
Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius et al.
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina et al.
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
Shaopeng Fu, Fengxiang He, Yang Liu et al.
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy, Isabel Valera