model robustness

Learning with Retrospection AAAI 2021 Lipschitz Recurrent Neural Networks ICLR 2021 Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021 Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently EMNLP 2021 Natural Adversarial Examples CVPR 2021 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021 OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 ReinforceBug: A Framework to Generate Adversarial Textual Examples NAACL 2021 Rethinking Evaluation in ASR: Are Our Models Robust Enough? Interspeech 2021 Revisiting Batch Normalization for Improving Corruption Robustness WACV 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021 Robustness and Sensitivity of BERT Models Predicting Alzheimer’s Disease from Text EMNLP 2021 Robustness Gym: Unifying the NLP Evaluation Landscape NAACL 2021 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NeurIPS 2021 Understanding Model Robustness to User-generated Noisy Texts EMNLP 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 What Can Style Transfer and Paintings Do for Model Robustness? CVPR 2021 Adversarial Examples Improve Image Recognition CVPR 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020