model robustness

Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019 Adversarial training for free! NeurIPS 2019 A Fourier Perspective on Model Robustness in Computer Vision NeurIPS 2019 A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks ICCV 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Defending Against Universal Perturbations With Shared Adversarial Training ICCV 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets CoNLL 2019 Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019 Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference ACL 2019 Enhancing Adversarial Example Transferability With an Intermediate Level Attack ICCV 2019 Improving Neural Language Modeling via Adversarial Training ICML 2019 Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior EMNLP 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019 On the use of BERT for Neural Machine Translation EMNLP 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019 Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019 System Description: The Submission of FOKUS to the WMT 19 Robustness Task ACL 2019 Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019 What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019 Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models CoNLL 2018 Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness NAACL 2018