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Unsupervised Domain Adaptation Papers and Code
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Unsupervised Domain Adaptation

The resources only focus on unsupervised domain adapation(UDA) and these include related papers and the codes from top conferences and journals. You are welcome to pull any requests as you will. I'll sort out the content soon.

Conference Papers

2020 Conference Papers

Abbreviation Paper Title Source Link Code Tags
MRNet Unsupervised Scene Adaptation with Memory Regularization in vivo IJCAI2019 Pytorch(Official) Memory Regularization

2019 Conference Papers

Abbreviation Paper Title Source Link Code Tags
MADAN Multi-source Domain Adaptation for Semantic Segmentation NeurIPS2019 Pytorch(Official) CyCADA Sub-Domain
CAG_UDA Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation NeurIPS2019 Pytorch0.4(Official) Class-Aware Pseudo-Labels Warm-Up-Training
Wen's Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI2019 Label-Shift Adversarial
DADA DADA: Depth-Aware Domain Adaptation in Semantic Segmentation ICCV2019 Pytorch1.2(Official) Adversarial
CAT Cluster Alignment With a Teacher for Unsupervised Domain Adaptation ICCV2019 Tensorflow1.10(Official) Class-Conditional Pseudo-Labels
MaxSquare Domain Adaptation for Semantic Segmentation With Maximum Squares Loss ICCV2019 Pytorch1.0(Official) Class-Imbalance Entropy-Minimization Weight-Ratio
JD-BW Batch Weight for Domain Adaptation With Mass Shift ICCV2019 Imbalance Cycle-GANs Importance-Sampling
Tsai's Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV2019 Project(Official) Cluster Patch-Level Adversarial Alignment
UM-Adapt UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV2019 Contour-based-Content-Regularization
AFN Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation ICCV2019 Pytorch0.4(Official) Feature-Norm Norm-Discrepancy Partial-DA
M3SDA Moment Matching for Multi-Source Domain Adaptation ICCV2019 Pytorch0.3(Official) Moment-Matching Multi-Source
Safa's Unsupervised Domain Adaptation via Regularized Conditional Alignment ICCV2019 Conditional-Distribution Adversarial-Regularization
DTA Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation ICCV2019 Pytorch(Official) Cluster-Assumption Adversarial-Dropout KL
BSP Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML2019 Pytorch(Official) LDA-SVD->BSP Between-class Within-class
DEV Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation ICML2019 Sklearn(Official) Density-Ratio-Estimation Variance-Reduction
Zhao's On Learning Invariant Representation for Domain Adaptation ICML2019 Code(empty) Theory Conditional-Shfit Information-Theoretic-Lower-Bound
Wu's Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment ICML2019 Theory Label-Shift Asymmetrically-Relaxed-Distances
MDD Bridging Theory and Algorithm for Domain Adaptation ICML2019 Pytorch(Official) Theory Margin-Disparity-Discrepancy Rademacher-Complexity
CADA Attending to Discriminative Certainty for Domain Adaptation CVPR2019 arXiv Code(Empty) Region-Adaptation Bayesian-Framework Attention
d-SNE d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding CVPR2019 Oral arXiv MXNet-Gluon(Official) Hausdorff-Distance Domain-Generalization
GCAN GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation CVPR2019 Structureaware-Alignment Domain-Alignment Class-Centroid-Alignment
GIO-Ada Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach CVPR2019 Geometric-Information Adversarial-Training Depth-and-Semantic-Prediction
DISE All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation CVPR2019 Pytorch(Official) Domain-Invariant-Structure Domain-Specific-Representations
DSBN Domain-Specific Batch Normalization for Unsupervised Domain Adaptation CVPR2019 Batch-Normalization Pseudo-Labels
DWT Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss CVPR2019 Min-Entropy Consensus loss Domain-Alignment-Layer
BDL Bidirectional Learning for Domain Adaptation of Semantic Segmentation CVPR2019 Pytorch(Official) Image-Translation Alternative Learning Perceptual-Loss
CAN Contrastive Adaptation Network for Unsupervised Domain Adaptation CVPR2019 Intra-Class-Discrepancy Inter-Class-Discrepancy CDD-Metric
GPDA Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR2019 Oral MCD->GP Classifier’s-Posterior-Distribution
Tran's Joint Pixel and Feature-level Domain Adaptation in the Wild CVPR2019 Combining-Many-Method
UAN Universal Domain Adaptation CVPR2019 Sample-Level Partial and Open Set
ADVENT ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR2019 Oral Code(Empty) Meta-Sub-Target
AMEAN Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR2019 Oral Pytorch(Official) Multiple Sub-targets Category-Misalignment
TPN Transferrable Prototypical Networks for Unsupervised Domain Adaptation CVPR2019 Oral Non-linear-Mapping Pseudo-Label Score-Distribution
PFAN Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR2019 Intra-Class-Variation Adaptive-Prototype-Alignment Non-Saturated-Classifier
SymNets Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR2019 Pytorch(Official) Symmetric-Classifiers Domain-Confusion Category-Level
CLAN Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation CVPR2019 Oral Pytorch(Official) Category-Level Co-training
SWD Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR2019 Wasserstein-Discrepancy

2018 Conference Papers

Abbreviation Paper Title Source Link Code Tags
Dhouib's Revisiting -similarity learning for domain adaptation NeurIPS2018 Worst-Margin-Term Theory Similarity-Learning
CDAN Conditional Adversarial Domain Adaptation NeurIPS2018 Code(Empty) Joint-Causal-Inference Separating-Sets
Magliacane's Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NeurIPS2018
Co-DA Co-regularized Alignment for Unsupervised Domain Adaptation NeurIPS2018 Class-Conditional Diverse-Feature-Embeddings Co-regularize-Alignments
JDDA Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI2019 Tensorflow(Official) Domain-Shift Instance-Based-Loss Center-Based-Loss
PADA Partial Adversarial Domain Adaptation ECCV2018 Pytorch(Official)
GAKT Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation ECCV2018
Kang's Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization ECCV2018
MEDA Visual Domain Adaptation with Manifold Embedded Distribution Alignment ACM MM2018 Matlab(Official)
CyCADA Cycle Consistent Adversarial Domain Adaptation ICML2018 Pytorch(Official)
MSTN Learning Semantic Representations for Unsupervised Domain Adaptation ICML2018 Tensorflow(Official)
DeppJDOT DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation arXiv2018 ECCV2018
Saito's Open Set Domain Adaptation by Backpropagation arXiv2018 ECCV2018 TensorFlow Pytorch
I2IAdapt Image to Image Translation for Domain Adaptation CVPR2018
PDA Importance Weighted Adversarial Nets for Partial Domain Adaptation CVPR2018
MCD_DA Maximum Classifier Discrepancy for Unsupervised Domain Adaptation CVPR2018 Pytorch(Official)
RPTDA Residual Parameter Transfer for Deep Domain Adaptation CVPR2018
DIFA Adversarial Feature Augmentation for Unsupervised Domain Adaptation CVPR2018 TensorFlow 1.3(Official)
SAN Partial Transfer Learning with Selective Adversarial Networks CVPR2018
DupGAN Duplex Generative Adversarial Network for Unsupervised Domain Adaptation CVPR2018 Pytorch 0.1(Official)
GTA Generate To Adapt: Aligning Domains using Generative Adversarial Networks CVPR2018 Pytorch(Official)
SimNet Unsupervised Domain Adaptation with Similarity Learning CVPR2018
KWC,KOT Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR2018
DCTN Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift CVPR2018
iCAN Collaborative and Adversarial Network for Unsupervised Domain Adaptation CVPR2018
RAAN Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR2018
MADA Multi-Adversarial Domain Adaptation AAAI2018 Caffe(Official)
WDGRL Wasserstein Distance Guided Representation Learning for Domain Adaptation AAAI2018 Tensorflow 1.3.0(Official) Pytorch
DIRT-T A DIRT-T Approach to Unsupervised Domain Adaptation ICLR2018 Tensorflow(Official)
MT Self-ensembling for Visual Domain Adaptation ICLR2018 Pytorch(Official)
CCN Learning to Cluster in Order to Transfer Across Domains and Tasks ICLR2018
MECA Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation ICLR2018 Tensorflow(Official)

Conference Papers befor 2018

Abbreviation Paper Title Source Link Code Tags
ATI Open Set Domain Adaptation ICCV2017 Matlab(Official)
AutoDIAL Automatic DomaIn Alignment Layers ICCV2017 Caffe(Official)
DAassoc Associative Domain Adaptation ICCV2017 Tensorflow(Official)
TAISL When Unsupervised Domain Adaptation Meets Tensor Representations ICCV2017 Matlab(Official)
CCSA Unified Deep Supervised Domain Adaptation and Generalization ICCV2017 Keras(Official)
UNIT Unsupervised Image-to-Image Translation Networks NIPS2017 Pytorch(Official)
Luo's Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NIPS2017 Project
JDOT Joint Distribution Optimal Transportation for Domain Adaptation NIPS2017 Python(Official)
FADA Few-Shot Adversarial Domain Adaptation NIPS2017 Pytorch
ADDA Adversarial Discriminative Domain Adaptation CVPR2017 Tensorflow(Official) Pytorch [Pytorch]
PixelDA Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks CVPR2017 Tensorflow(Official) [Pytorch]
JGSA Joint Geometrical and Statistical Alignment for Visual Domain Adaptation CVPR2017 Matlab(Official)
ILS Learning an Invariant Hilbert Space for Domain Adaptation CVPR2017 Matlab(Official)
DAH Deep Hashing Network for Unsupervised Domain Adaptation CVPR2017 Matlab(Official)
Wu's A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR2017
WDAN Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation CVPR2017 Caffe(Official)
JAN Deep Transfer Learning with Joint Adaptation Networks ICML2017 Pytorch 0.2.0_3(Official)
ATDA Asymmetric Tri-training for Unsupervised Domain Adaptation ICML2017 Tensorflow(Official) Tensorflow Pytorch
AdaBN Revisiting Batch Normalization For Practical Domain Adaptation ICLR2017 PR2018 MXNet
DSN Domain Separation Networks NIPS2016 Tensorflow(Official) Pytorch
Sener's Learning Transferrable Representations for Unsupervised Domain Adaptation NIPS2016
RTN Unsupervised Domain Adaptation with Residual Transfer Networks NIPS2016 Code(Official)
DRCN Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation ECCV2016 Tensorflow 1.0.1(Official) Pytorch
Deep CORAL Deep CORAL: Correlation Alignment for Deep Domain Adaptation ECCV2016 C(Official) Pytorch 0.2
RevGrad Unsupervised Domain Adaptation by Backpropagation ICML2015 Caffe(Official) Tensorflow Pytorch

Journal Papers

Abbreviation Paper Title Source Link Code Tags
GDM Adaptation Based on Generalized Discrepancy JMLR2020 Stability Rademacher Y-Discrepancy
TIT Transfer Independently Together: A Generalized Framework for Domain Adaptation TCyb2019 Heterogeneous Landmark-Selection Multiple-Transformations
CV-CMD Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment InforSci2019 Keras(Official) Domain-Specific-Activation-Distributions Regularization Probability-Metric
DICE Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation TPAMI2019 Intra-Domain-Structure Multiple-Projections Vote
DST-ELM Domain Space Transfer Extreme Learning Machine for Domain Adaptation TCyb2019 Reconstruction Domain-Structural-Knowledge
GsDsDL Learning Domain-shared Group-sparse Representation for Unsupervised Domain Adaptation PR2018
AdaBN Revisiting Batch Normalization For Practical Domain Adaptation ICLR2017 PR2018
LDADA An Embarrassingly Simple Approach to Visual Domain Adaptation TIP2018 Matlab(Official)
DICD Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation TIP2018
HDANA Heterogeneous Domain Adaptation Network Based on Autoencoder JPDC2018
DKTL Domain Class Consistency Based Transfer Learning For Image Classification Across Domains InforSci2017
Ding's Deep Domain Generalization With Structured Low-Rank Constraint TIP2017
Venkateswara's survey Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations SP Magazine
BSWDA Beyond Sharing Weights for Deep Domain Adaptation TPAMI2016
SCA Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization TPAMI2016
DME Distribution-Matching Embedding for Visual Domain Adaptation JMLR2016
DANN Domain-Adversarial Training of Neural Networks JMLR2016 Tensorflow(Official) Pytorch Pytorch
LSCDA Unsupervised Domain Adaptation With Label and Structural Consistency TIP2016
FLDA Feature-Level Domain Adaptation JMLR2016 Matlab(Official) Python(Official)

arXiv Papers

Abbreviation Paper Title Source Link Code Tags
MRNet+Rectify Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation arXiv 8 Mar 2020 Pytorch(Official) Rectify Pseudo Label, Uncertainty
LPJT Locality Preserving Joint Transfer for Domain Adaptation arXiv 18 Jun 2019 Matlab(Official) Feature && Sample MMD Re-weight
SDA-TCL Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation arXiv 10 Jun 2019 Center-Loss Pseudo-Label
SALT SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation arXiv 11 Jun 2019 Meta-Auxiliary-Learning Data-Geometries Subspace-Alignment
Wang's Discriminative Clustering for Robust Unsupervised Domain Adaptation arXiv 30 May 2019 Cluster-Dissimilarity Adversarial-Learning Label-Distributions
RADA Adversarial Domain Adaptation Being Aware of Class Relationships arXiv 28 May 2019 Inter-Class-Semantic-Relationships
SRDA Learning Smooth Representation for Unsupervised Domain Adaptation arXiv 26 May 2019 Decision-Boundary-and-Features Local-Smooth-Discrepancy
Cicek's Unsupervised Domain Adaptation via Regularized Conditional Alignment arXiv 26 May 2019 Class-Conditional SSL-Regularization Consistency-Loss
Wilson's A Survey of Unsupervised Deep Domain Adaptation arXiv 29 Mar 2019 Survey
Zhang's Transfer Adaptation Learning: A Decade Survey arXiv 12 Mar 2019 Survey
Kouw's A Review of Single-source Unsupervised Domain Adaptation arXiv 16 Jan 2019 Review
Kouw's An Introduction to Domain Adaptation and Transfer Learning arXiv 31 Dec 2018 Review
Le's Theoretical Perspective of Deep Domain Adaptation arXiv 15 Nov 2018 Wasserstein Metric
Wang's survey Deep visual domain adaptation: A survey arXiv2018 NeCo2018 Survey
IDDA Looking back at Labels: A Class based Domain Adaptation Technique IJCNN Poster Project(Official)
IAFN Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach arXiv 19 Nov Pytorch(Official)
GDAN Causal Generative Domain Adaptation Networks arXiv 28 Jun 2018
M-ADDA M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning arXiv 6 Jul 2018 Pytorch(Official)
DiDA DiDA: Disentangled Synthesis for Domain Adaptation arXiv 21 Mar 2018 Pytorch(Official)
CMD Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment arXiv 28 Mar 2018 Keras(Official)
CDAAE Cross-Domain Adversarial Auto-Encoder arXiv 17 Apr 2018 Tensorflow(Official)

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