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Robustness

529 directly classified papers

Papers per year

Papers

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers 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
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering EMNLP 2022
Measuring Harmful Representations in Scandinavian Language Models EMNLP 2022
Robust MT Evaluation with Sentence-level Multilingual Augmentation EMNLP 2022
Robust Streaming PCA NIPS 2022
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NIPS 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations NIPS 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NIPS 2022
Outlier-Robust Sparse Estimation via Non-Convex Optimization NIPS 2022
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NIPS 2022
Formulating Robustness Against Unforeseen Attacks NIPS 2022
Phase Transition from Clean Training to Adversarial Training NIPS 2022
Data-Driven Conditional Robust Optimization NIPS 2022
On the Adversarial Robustness of Mixture of Experts NIPS 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation NIPS 2022
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues 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
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NIPS 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
Watermarking for Out-of-distribution Detection NIPS 2022