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Robustness

529 directly classified papers

Papers per year

Papers

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NIPS 2023
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty AAAI 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Does Robustness on ImageNet Transfer to Downstream Tasks? CVPR 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022
Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks NIPS 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers NIPS 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues NIPS 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022
Data-Driven Conditional Robust Optimization NIPS 2022
On the Adversarial Robustness of Mixture of Experts NIPS 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022
Reducing Flipping Errors in Deep Neural Networks AAAI 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Robust MT Evaluation with Sentence-level Multilingual Augmentation EMNLP 2022
Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022
Measuring Harmful Representations in Scandinavian Language Models EMNLP 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction EMNLP 2022