Robustness

Estimating Principal Components under Adversarial Perturbations COLT 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data EMNLP 2020 Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020 Hiding in Multilayer Networks AAAI 2020 How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? NeurIPS 2020 Identifying Mislabeled Data using the Area Under the Margin Ranking NeurIPS 2020 Identifying Model Weakness with Adversarial Examiner AAAI 2020 Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020 Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness EMNLP 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Lipschitz-Certifiable Training with a Tight Outer Bound NeurIPS 2020 Modeling Biological Immunity to Adversarial Examples CVPR 2020 More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NeurIPS 2020 NAT: Noise-Aware Training for Robust Neural Sequence Labeling ACL 2020 Noisy Text Data: Achilles’ Heel of BERT EMNLP 2020 On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020 On the Robustness of Language Encoders against Grammatical Errors ACL 2020 Probably Approximately Correct Constrained Learning NeurIPS 2020 Recognizing Instagram Filtered Images with Feature De-Stylization AAAI 2020 Reducing Adversarially Robust Learning to Non-Robust PAC Learning NeurIPS 2020 Reevaluating Adversarial Examples in Natural Language EMNLP 2020