Papers
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng, Tianfu Wu, Christopher Healey
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan, Xinmeng Huang, Yiming Chen et al.
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su, Xun Xu, Kui Jia
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen, Nhat Ho
Revisiting Sparse Convolutional Model for Visual Recognition
xili dai, Mingyang Li, Pengyuan Zhai et al.
Revisit last-iterate convergence of mSGD under milder requirement on step size
ruinan Jin, Xingkang He, Lang Chen et al.
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
Yuanze Lin, Yujia Xie, Dongdong Chen et al.
Riemannian Diffusion Models
Chin-Wei Huang, Milad Aghajohari, Joey Bose et al.
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park, Hyomin Kim, Kyungjae Lee et al.
Riemannian Score-Based Generative Modelling
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson et al.
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan, Zhengling Qi, Christopher Seymour et al.
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Difan Zou, Jingfeng Wu, Vladimir Braverman et al.
Risk-Driven Design of Perception Systems
Anthony Corso, Sydney Katz, Craig Innes et al.
RKHS-SHAP: Shapley Values for Kernel Methods
Siu Lun Chau, Robert Hu, Javier González et al.
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
Hangjie Yuan, Jianwen Jiang, Samuel Albanie et al.
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
Leo Kozachkov, Michaela Ennis, Jean-Jacques Slotine
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge
Hongjing Niu, Hanting Li, Feng Zhao et al.
Robust $\phi$-Divergence MDPs
Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
Robust Anytime Learning of Markov Decision Processes
Marnix Suilen, Thiago D. Simão, David B. Parker et al.
Robust Bayesian Regression via Hard Thresholding
Zheyi Fan, Zhaohui Li, Qingpei Hu
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu, Ziqi Zhao, Sabine Süsstrunk et al.
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu, Stephen Bates, Yi Ma et al.
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper, Max Nadeau, Dylan Hadfield-Menell et al.
Robust Generalized Method of Moments: A Finite Sample Viewpoint
Dhruv Rohatgi, Vasilis Syrgkanis