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Robustness

83 directly classified papers

Papers per year

Papers

On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Sometimes We Want Ungrammatical Translations EMNLP 2021
Understanding Model Robustness to User-generated Noisy Texts EMNLP 2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021
Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021
Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NIPS 2021
Quality-Agnostic Image Recognition via Invertible Decoder CVPR 2021
Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021
Fairness for Robust Log Loss Classification AAAI 2020
Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations EMNLP 2020
Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020
On the Trade-off between Adversarial and Backdoor Robustness NIPS 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NIPS 2020
Improving robustness against common corruptions by covariate shift adaptation NIPS 2020
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020
Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NIPS 2019