domain shift

ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 A Robust Learning Approach to Domain Adaptive Object Detection ICCV 2019 Attract or Distract: Exploit the Margin of Open Set ICCV 2019 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation NeurIPS 2019 Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation ICCV 2019 Domain Adaptive Text Style Transfer EMNLP 2019 Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019 Episodic Training for Domain Generalization ICCV 2019 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 Guided Stereo Matching CVPR 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic ICLR 2019 Neural Word Decomposition Models for Abusive Language Detection ACL 2019 Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019 Progressive Ensemble Networks for Zero-Shot Recognition CVPR 2019 Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness ICML 2019 Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation AAAI 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019 Transductive Learning for Zero-Shot Object Detection ICCV 2019 Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019 Transductive Zero-Shot Learning with Visual Structure Constraint NeurIPS 2019 Transfer Learning from Audio-Visual Grounding to Speech Recognition Interspeech 2019 Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss CVPR 2019 Zero-shot Domain Adaptation Based on Attribute Information ACML 2019 Adversarial Domain Adaptation for Duplicate Question Detection EMNLP 2018