Domain Adaptation

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation NeurIPS 2021 Towards Context-Agnostic Learning Using Synthetic Data NeurIPS 2021 Towards Domain Invariant Single Image Dehazing AAAI 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Transferable Query Selection for Active Domain Adaptation CVPR 2021 Unbiased Mean Teacher for Cross-Domain Object Detection CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021 UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification CVPR 2021 Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment AAAI 2021 Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer AAAI 2021 Unsupervised Multi-Source Domain Adaptation for Person Re-Identification CVPR 2021 Unsupervised Multi-Source Domain Adaptation Without Access to Source Data CVPR 2021 Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport NeurIPS 2021 Visualizing Adapted Knowledge in Domain Transfer CVPR 2021 Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion AAAI 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021 ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media CVPR 2021 Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation CVPR 2020 AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks NeurIPS 2020 Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ACL 2020 Adversarial Cross-Domain Action Recognition with Co-Attention AAAI 2020 Adversarial Domain Adaptation with Domain Mixup AAAI 2020