mlsanityData to 14 Oct 2026

Contrastive Domain Adaptation

arXiv 2103.15566 ↗First posted 26 Mar 2021cs.CV cs.LGcited by 36

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Abstract (arXiv)

Recently, contrastive self-supervised learning has become a key component for learning visual representations across many computer vision tasks and benchmarks. However, contrastive learning in the context of domain adaptation remains largely underexplored. In this paper, we propose to extend contrastive learning to a new domain adaptation setting, a particular situation occurring where the similarity is learned and deployed on samples following different probability distributions without access to labels. Contrastive learning learns by comparing and contrasting positive and negative pairs of samples in an unsupervised setting without access to source and target labels. We have developed a variation of a recently proposed contrastive learning framework that helps tackle the domain adaptation problem, further identifying and removing possible negatives similar to the anchor to mitigate the effects of false negatives. Extensive experiments demonstrate that the proposed method adapts well, and improves the performance on the downstream domain adaptation task.

Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). Builds on 28 of its 46 references that are in the map. First posted on arXiv 26 Mar 2021.

Builds on

28 of 46 references.

References · 28

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,049
  3. 2018Representation Learning with Contrastive Predictive Codingcited by 7,777
  4. 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,513
  5. 2015Domain-Adversarial Training of Neural Networkscited by 3,044
  6. 2018Unsupervised Feature Learning via Non-Parametric Instance-level Discriminationcited by 1,845
  7. 2020Big Self-Supervised Models are Strong Semi-Supervised Learnerscited by 1,380
  8. 2015Learning Transferable Features with Deep Adaptation Networkscited by 1,329
  9. 2017Adversarial Discriminative Domain Adaptationcited by 1,311
  10. 2019Contrastive Multiview Codingcited by 1,301
  11. 2016Deep CORAL: Correlation Alignment for Deep Domain Adaptationcited by 1,200
  12. 2020Contrastive Learning with Hard Negative Samplescited by 628
16 more
  1. 2016Deep Transfer Learning with Joint Adaptation Networkscited by 612
  2. 2014Deep Domain Confusion: Maximizing for Domain Invariancecited by 600
  3. 2017Large Batch Training of Convolutional Networkscited by 535
  4. 2019Contrastive Adaptation Network for Unsupervised Domain Adaptationcited by 407
  5. 2020Hard Negative Mixing for Contrastive Learningcited by 402
  6. 2020Debiased Contrastive Learningcited by 356
  7. 2019Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptationcited by 235
  8. 2016Coupled Generative Adversarial Networkscited by 216
  9. 2020Boosting Contrastive Self-Supervised Learning with False Negative Cancellationcited by 119
  10. 2019Deep Learning for Audio Signal Processingcited by 92
  11. 2019Recent Advances in Deep Learning for Object Detectioncited by 50
  12. 2018Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptationcited by 45
  13. 2018Deep Object-Centric Policies for Autonomous Drivingcited by 41
  14. 2020Joint Contrastive Learning for Unsupervised Domain Adaptationcited by 25
  15. 2020Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labelscited by 24
  16. 2020An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growthcited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 6; 2022: 8; 2023: 7; 2024: 7; 2025: 6; 2026: 2.

36 papers.

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  1. 2021Cross-domain Contrastive Learning for Unsupervised Domain Adaptationcited by 76
  2. 2022Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulationscited by 44
  3. 2021CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learningcited by 23
  4. 2022FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learningcited by 22
  5. 2022Contrastive Domain Adaptation for Time-Series via Temporal Mixupcited by 18
  6. 2022Hard Negative Sampling Strategies for Contrastive Representation Learningcited by 13
  7. 2024Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learningcited by 13
  8. 2021REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Cluttercited by 11
  9. 2021Semi-supervised Domain Adaptive Structure Learningcited by 10
  10. 2021Domain Adaptation via Maximizing Surrogate Mutual Informationcited by 8
  11. 2023DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detectioncited by 8
  12. 2023Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharingcited by 7
24 more
  1. 2024Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detectioncited by 7
  2. 2024ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detectioncited by 7
  3. 2022Knowledge Sharing via Domain Adaptation in Customs Fraud Detectioncited by 5
  4. 2023Test-Time Training for Semantic Segmentation with Output Contrastive Losscited by 3
  5. 2024Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shiftcited by 3
  6. 2024A Self-explaining Neural Architecture for Generalizable Concept Learningcited by 3
  7. 2022Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detectioncited by 2
  8. 2022LLEDA -- Lifelong Self-Supervised Domain Adaptationcited by 2
  9. 2023Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptationcited by 2
  10. 2023COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learningcited by 2
  11. 2025ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstructioncited by 2
  12. 2021EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecastingcited by 1
  13. 2023Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representationscited by 1
  14. 2024Speech Separation with Pretrained Frontend to Minimize Domain Mismatchcited by 1
  15. 2025Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Applicationcited by 1
  16. 2022Cross-domain Transfer of defect features in technical domains based on partial target datacited by 0
  17. 2023DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptationcited by 0
  18. 2024Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptationcited by 0
  19. 2025Bi-level Unbalanced Optimal Transport for Partial Domain Adaptationcited by 0
  20. 2025Securing Swarms: Cross-Domain Adaptation for ROS2-based CPS Anomaly Detectioncited by 0
  21. 2025Attention Residual Fusion Network with Contrast for Source-free Domain Adaptationcited by 0
  22. 2025Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learningcited by 0
  23. 2026Cross-Domain Transfer with Self-Supervised Spectral-Spatial Modeling for Hyperspectral Image Classificationcited by 0
  24. 2026Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancycited by 0