Domain Generalization

DIVA: Domain Invariant Variational Autoencoders MIDL 2020 Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning CVPR 2020 Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization NeurIPS 2020 Domain Generalization Using a Mixture of Multiple Latent Domains AAAI 2020 Domain Generalization via Entropy Regularization NeurIPS 2020 Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning Interspeech 2020 Do Models of Mental Health Based on Social Media Data Generalize? EMNLP 2020 Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias CVPR 2020 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020 End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020 Ensuring Fairness Beyond the Training Data NeurIPS 2020 Environmental drivers of systematicity and generalization in a situated agent ICLR 2020 Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020 Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing ACL 2020 Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition ICLR 2020 Hierarchically Robust Representation Learning CVPR 2020 How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020 Hybrid Graph Neural Networks for Crowd Counting AAAI 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization NeurIPS 2020 Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020 Improving robustness against common corruptions by covariate shift adaptation NeurIPS 2020 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020 Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health IJCAI 2020 Instance-based Generalization in Reinforcement Learning NeurIPS 2020 Invariant Risk Minimization Games ICML 2020