Papers
Robust Imitation of a Few Demonstrations with a Backwards Model
Jung Yeon Park, Lawson Wong
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Dong-Sig Han, Hyunseo Kim, Hyundo Lee et al.
Robust Learning against Relational Adversaries
Yizhen Wang, Mohannad Alhanahnah, Xiaozhu Meng et al.
Robust Models are less Over-Confident
Julia Grabinski, Paul Gavrikov, Janis Keuper et al.
Robust Model Selection and Nearly-Proper Learning for GMMs
Allen Liu, Jerry Li, Ankur Moitra
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Schiappa, Shruti Vyas, Hamid Palangi et al.
Robustness Disparities in Face Detection
Samuel Dooley, George Z Wei, Tom Goldstein et al.
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos et al.
Robustness to Label Noise Depends on the Shape of the Noise Distribution
Diane Oyen, Michal Kucer, Nicolas Hengartner et al.
Robustness to Unbounded Smoothness of Generalized SignSGD
Michael Crawshaw, Mingrui Liu, Francesco Orabona et al.
Robust Neural Posterior Estimation and Statistical Model Criticism
Daniel Ward, Patrick Cannon, Mark Beaumont et al.
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
Rujie Zhong, Duohan Zhang, Lukas Schäfer et al.
Robust Reinforcement Learning using Offline Data
Kishan Panaganti, Zaiyan Xu, Dileep Kalathil et al.
Robust Rent Division
Dominik Peters, Ariel D Procaccia, David Zhu
Robust Semi-Supervised Learning when Not All Classes have Labels
Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu et al.
Robust Streaming PCA
Daniel Bienstock, Minchan Jeong, Apurv Shukla et al.
Robust Testing in High-Dimensional Sparse Models
Anand Jerry George, Clément L Canonne
Root Cause Analysis of Failures in Microservices through Causal Discovery
Azam Ikram, Sarthak Chakraborty, Subrata Mitra et al.
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Rui Yang, Chenjia Bai, Xiaoteng Ma et al.
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
James Gardner, Bernhard Egger, William Smith
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
Yingbin Bai, Erkun Yang, Zhaoqing Wang et al.
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Jian Wang, Chenhui Gou, Qiman Wu et al.
S$^3$-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
Wenqi Yang, Guanying Chen, Chaofeng Chen et al.
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho, Dongseok Shim, H. Jin Kim
S3GC: Scalable Self-Supervised Graph Clustering
Fnu Devvrit, Aditya Sinha, Inderjit S. Dhillon et al.