Robustness

Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Don't let your Discriminator be fooled ICLR 2019 Feature Denoising for Improving Adversarial Robustness CVPR 2019 Generating Fluent Adversarial Examples for Natural Languages ACL 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NeurIPS 2019 Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness EMNLP 2019 On Single Source Robustness in Deep Fusion Models NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Self-Critical Reasoning for Robust Visual Question Answering NeurIPS 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019 VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019 Feature Quantization for Defending Against Distortion of Images CVPR 2018 RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018 Synthetic and Natural Noise Both Break Neural Machine Translation ICLR 2018 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Discriminative Robust Transformation Learning NeurIPS 2015 Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NeurIPS 2013