awesome-transfer-learning

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Paper

• ICLR-18 generalizing across domains via cross-gradient training

• AAAI-18 Multi-Adversarial Domain Adaptation

• CoRR abs/1711.09020 (2017) StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

• CoRR abs/1707.01217 (2017) Wasserstein Distance Guided Representation Learning for Domain Adaptation

• NIPS-17 Learning Multiple Tasks with Multilinear Relationship Networks

• NIPS-17 Label Efficient Learning of Transferable Representations acrosss Domains and Tasks

• NIPS-17 FADA: Few-Shot Adversarial Domain Adaptation

• NIPS-17 JDOT: Joint distribution optimal transportation for domain adaptation

• ICCV-17 Open set domain adaptation

• ICCV-17 AutoDIAL: Automatic DomaIn Alignment Layers

• ICCV-17 CCSA: Unified Deep Supervised Domain Adaptation and Generalization

• ICCV-17 CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

• ICCV-17 DualGAN: DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

• CVPR-17 ADDA: Adaptative Discriminative Domain Adaptation

• CVPR-17 Asymmetric Tri-training for Unsupervised Domain Adaptation

• ICML-17 JAN: Deep Transfer Learning with Joint Adaptation Networks

• ICML-17 DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

• AAAI-17 Distant Domain Transfer Learning

• 2017 Google: Learning Transferable Architectures for Scalable Image Recognition

• CoRR abs/1603.04779 (2016) AdaBN: Revisiting batch normalization for practical domain adaptation

• AAAI-16 Return of Frustratingly Easy Domain Adaptation

• NIPS-16 RTN: Unsupervised Domain Adaptation with Residual Transfer Networks

• NIPS-16 DSN: Domain Separation Networks

• JMLR-16 DANN: Domain-adversarial training of neural networks

• JMLR-16 Distribution-Matching Embedding for Visual Domain Adaptation

• CoRR abs/1610.04420 (2016) Theoretical Analysis of Domain Adaptation with Optimal Transport

• ECCV-16 Deep CORAL: Correlation Alignment for Deep Domain Adaptation

• ECCV-16 DRCN: Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

• ICML-15 DAN: Learning Transferable Features with Deep Adaptation Networks

• ICML-15 GRL: Unsupervised Domain Adaptation by Backpropagation

• ICCV-15 Simultaneous Deep Transfer Across Domains and Tasks

• KDD-15 Transitive Transfer Learning

• ICML-14 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

• NIPS-14 How transferable are features in deep neural networks?

• CVPR-14 Transfer Joint Matching for Unsupervised Domain Adaptation

• CoRR abs/1412.3474 (2014) Deep Domain Confusion(DDC): Maximizing for Domain Invariance

• ICCV-13 Transfer Feature Learning with Joint Distribution Adaptation

• NIPS-12 MMD: Optimal kernel choice for large-scale two-sample tests

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Surveys

• A Survey on Transfer Learning

• A Survey of transfer learning

• Domain Adaptation for Visual Applications: A Comprehensive Survey

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Dataset