Domain Generalization

Investigating Light-ResNet Architecture for Spoofing Detection Under Mismatched Conditions Interspeech 2020 Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL 2020 Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization Interspeech 2020 Learning De-biased Representations with Biased Representations ICML 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning to Learn Single Domain Generalization CVPR 2020 Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition CVPR 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification NeurIPS 2020 MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation CVPR 2020 Multidimensional Shape Constraints ICML 2020 MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020 Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning ICLR 2020 On Cross-Dataset Generalization in Automatic Detection of Online Abuse EMNLP 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 Open Compound Domain Adaptation CVPR 2020 PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020 Plug-and-Play Rescaling Based Crowd Counting in Static Images WACV 2020 Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020 Provably Efficient Model-based Policy Adaptation ICML 2020 Regularized Fine-Grained Meta Face Anti-Spoofing AAAI 2020 Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020 Reinforcement Learning with Augmented Data NeurIPS 2020 Robustness to Spurious Correlations via Human Annotations ICML 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020