adversarial training

Scale-aware Conditional Generative Adversarial Network for Image Dehazing WACV 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training Interspeech 2020 Spherical Space Domain Adaptation With Robust Pseudo-Label Loss CVPR 2020 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 SymGAN: Orientation Estimation without Annotation for Symmetric Objects WACV 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020 The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network AAAI 2020 The Pitfalls of Simplicity Bias in Neural Networks NeurIPS 2020 Toward a Universal Model for Shape From Texture CVPR 2020 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020 Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020 Towards Robust Image Classification Using Sequential Attention Models CVPR 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks ICLR 2020 Towards Understanding the Dynamics of the First-Order Adversaries ICML 2020 Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation AACL 2020 Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image WACV 2020 Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference AAAI 2020 Undersensitivity in Neural Reading Comprehension EMNLP 2020 Understanding and Improving Fast Adversarial Training NeurIPS 2020 Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020