Papers
8,340 papers found
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Yishay Mansour, Richard Nock, Robert Williamson
Random Grid Neural Processes for Parametric Partial Differential Equations
Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou et al.
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
Shion Takeno, Yu Inatsu, Masayuki Karasuyama
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
Random Shuffle Transformer for Image Restoration
Jie Xiao, Xueyang Fu, Man Zhou et al.
Random Teachers are Good Teachers
Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis et al.
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
Quentin Garrido, Randall Balestriero, Laurent Najman et al.
Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang, Kuangqi Zhou, Jiashi Feng et al.
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Guy Ohayon, Theo Joseph Adrai, Michael Elad et al.
Recasting Self-Attention with Holographic Reduced Representations
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman et al.
Reconstructive Neuron Pruning for Backdoor Defense
Yige Li, Xixiang Lyu, Xingjun Ma et al.
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
Hyeonsu Jeong, Hye Won Chung
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani et al.
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang et al.
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel et al.
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro, C. Lawrence Zitnick
Refined Regret for Adversarial MDPs with Linear Function Approximation
Yan Dai, Haipeng Luo, Chen-Yu Wei et al.
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Se Jung Kwon et al.
Reflected Diffusion Models
Aaron Lou, Stefano Ermon
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin et al.
Regression with Label Permutation in Generalized Linear Model
Guanhua Fang, Ping Li
Regression with Sensor Data Containing Incomplete Observations
Takayuki Katsuki, Takayuki Osogami
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
Wenhao Xu, Xuefeng Gao, Xuedong He
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
Liad Erez, Tal Lancewicki, Uri Sherman et al.