domain generalization

Adversarial Multiple Source Domain Adaptation NeurIPS 2018 A Helping Hand: Transfer Learning for Deep Sentiment Analysis ACL 2018 Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems Interspeech 2018 Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing EMNLP 2018 Domain Generalization With Adversarial Feature Learning CVPR 2018 Evaluating Historical Text Normalization Systems: How Well Do They Generalize? NAACL 2018 Generalizing Across Domains via Cross-Gradient Training ICLR 2018 Generalizing to Unseen Domains via Adversarial Data Augmentation NeurIPS 2018 Invariant Models for Causal Transfer Learning JMLR 2018 Learning Independent Causal Mechanisms ICML 2018 MetaReg: Towards Domain Generalization using Meta-Regularization NeurIPS 2018 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias NeurIPS 2018 Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers EMNLP 2018 What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training NAACL 2018 Lexical Features in Coreference Resolution: To be Used With Caution ACL 2017 Robust Adversarial Reinforcement Learning ICML 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Towards Speech Emotion Recognition “in the Wild” Using Aggregated Corpora and Deep Multi-Task Learning Interspeech 2017 Value Iteration Networks IJCAI 2017 Cross-Cultural Depression Recognition from Vocal Biomarkers Interspeech 2016 Domain-Adversarial Training of Neural Networks JMLR 2016 Learning Attributes Equals Multi-Source Domain Generalization CVPR 2016 Domain Generalization for Object Recognition With Multi-Task Autoencoders ICCV 2015 Learning visual biases from human imagination NeurIPS 2015 Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach CVPR 2015