domain adaptation

K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning ICML 2018 Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning CVPR 2018 Large Scale Optimal Transport and Mapping Estimation ICLR 2018 Learning Adversarially Fair and Transferable Representations ICML 2018 Learning Domain Representation for Multi-Domain Sentiment Classification NAACL 2018 Learning Domain-Sensitive and Sentiment-Aware Word Embeddings ACL 2018 Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018 Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation CVPR 2018 Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models NAACL 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Semantic Representations for Unsupervised Domain Adaptation ICML 2018 Learning to Adapt Structured Output Space for Semantic Segmentation CVPR 2018 Learning to cluster in order to transfer across domains and tasks ICLR 2018 Learning to Sketch With Shortcut Cycle Consistency CVPR 2018 Learning Transferable UAV for Forest Visual Perception IJCAI 2018 Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets NAACL 2018 Lessons from Natural Language Inference in the Clinical Domain EMNLP 2018 Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018 LMU Munich’s Neural Machine Translation Systems at WMT 2018 EMNLP 2018 Marginal Singularity, and the Benefits of Labels in Covariate-Shift COLT 2018 Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation ICLR 2018 Minimax Statistical Learning with Wasserstein distances NeurIPS 2018 Mittens: an Extension of GloVe for Learning Domain-Specialized Representations NAACL 2018 Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation CVPR 2018 MIXGAN: Learning Concepts from Different Domains for Mixture Generation IJCAI 2018