Papers
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
Louis Béthune, Paul Novello, Guillaume Coiffier et al.
Robust Perception through Equivariance
Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi et al.
Robust Satisficing MDPs
Haolin Ruan, Siyu Zhou, Zhi Chen et al.
Robust Situational Reinforcement Learning in Face of Context Disturbances
Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang et al.
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu et al.
Robust Subtask Learning for Compositional Generalization
Kishor Jothimurugan, Steve Hsu, Osbert Bastani et al.
Robust Weak Supervision with Variational Auto-Encoders
Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao et al.
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois et al.
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
Sehyun Kwon, Joo Young Choi, Ernest K. Ryu
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu, Chen Shengyuan, Kaixiong Zhou et al.
Run-off Election: Improved Provable Defense against Data Poisoning Attacks
Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini et al.
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
Daniel D. Johnson, Daniel Tarlow, Christian Walder
SAAL: Sharpness-Aware Active Learning
Yoon-Yeong Kim, Youngjae Cho, Joonho Jang et al.
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin, Bo Tang, Zifan Wu et al.
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Hong Liu, Sang Michael Xie, Zhiyuan Li et al.
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
Atish Agarwala, Yann Dauphin
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilan Naiman, Nimrod Berman, Omri Azencot
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari et al.
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet et al.
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos, Adam Coogan, Yashar Hezaveh et al.
Sampling-based Nyström Approximation and Kernel Quadrature
Satoshi Hayakawa, Harald Oberhauser, Terry Lyons
Scalable Adaptive Computation for Iterative Generation
Allan Jabri, David J. Fleet, Ting Chen
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak, Kenneth Choi, Wenqi Ding et al.
Scalable Safe Policy Improvement via Monte Carlo Tree Search
Alberto Castellini, Federico Bianchi, Edoardo Zorzi et al.