Domain Generalization

Towards Domain Invariant Single Image Dehazing AAAI 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models NAACL 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Towards Robust Model Reuse in the Presence of Latent Domains IJCAI 2021 Towards robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NeurIPS 2021 TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021 Troubleshooting Blind Image Quality Models in the Wild CVPR 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NeurIPS 2021 Unadversarial Examples: Designing Objects for Robust Vision NeurIPS 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Understanding the failure modes of out-of-distribution generalization ICLR 2021 Understanding the Generalization Benefit of Model Invariance from a Data Perspective NeurIPS 2021 Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021 Unsupervised 3D Shape Completion Through GAN Inversion CVPR 2021 Vision-Language Navigation With Random Environmental Mixup ICCV 2021 What Can Style Transfer and Paintings Do for Model Robustness? CVPR 2021 WILDS: A Benchmark of in-the-Wild Distribution Shifts ICML 2021 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 A Closer Look at Accuracy vs. Robustness NeurIPS 2020 Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP 2020 Adversarial Separation and Adaptation Network for Far-Field Speaker Verification Interspeech 2020 A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020 An Analysis of Dataset Overlap on Winograd-Style Tasks COLING 2020