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Robustness

529 directly classified papers

Papers per year

Papers

Detecting Semantic Anomalies AAAI 2020
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020
Hiding in Multilayer Networks AAAI 2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data EMNLP 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020
Towards Debiasing NLU Models from Unknown Biases EMNLP 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness EMNLP 2020
Enhance Robustness of Sequence Labelling with Masked Adversarial Training EMNLP 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020
Do Models of Mental Health Based on Social Media Data Generalize? EMNLP 2020
Reevaluating Adversarial Examples in Natural Language EMNLP 2020
Second-Order NLP Adversarial Examples EMNLP 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020
Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020
Noisy Text Data: Achilles’ Heel of BERT EMNLP 2020
NAT: Noise-Aware Training for Robust Neural Sequence Labeling ACL 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
On the Robustness of Data-Driven Controllers for Linear Systems L4DC 2020
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion CVPR 2020
Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020
Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020
Modeling Biological Immunity to Adversarial Examples CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020