% Key papers for Statistical alignment and hypothesis testing (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_mind_12455,
  title = {{Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_learning_14396,
  title = {{Learning From Synthetic Data for Crowd Counting in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_sim_14829,
  title = {{Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_plug_1170,
  title = {{Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00863-plug-and-play-domain-adaptation-for-cross-subject-eeg-based-emotion-recognition/},
}

@inproceedings{iclr2017_epopt_28338,
  title = {{EPOpt: Learning Robust Neural Network Policies Using Model Ensembles}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SyWvgP5el},
}

@inproceedings{aaai2017_recurrent_105985,
  title = {{Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11014},
}

@inproceedings{neurips2020_unsupervised_61059,
  title = {{Unsupervised Sound Separation Using Mixture Invariant Training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18782},
}

@inproceedings{aaai2018_personalizing_105878,
  title = {{Personalizing a Dialogue System With Transfer Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11938},
}

@inproceedings{aaai2019_motiontransformer_103382,
  title = {{MotionTransformer: Transferring Neural Inertial Tracking between Domains}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4802},
}

@inproceedings{cvpr2018_aligning_12829,
  title = {{Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Aligning_Infinite-Dimensional_Covariance_CVPR_2018_paper.html},
}

@inproceedings{aaai2017_what_100971,
  title = {{What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10612},
}

@inproceedings{icml2020_data_38074,
  title = {{Data Valuation using Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6276},
}

@inproceedings{cvpr2021_wasserstein_18138,
  title = {{Wasserstein Barycenter for Multi-Source Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_robust_60737,
  title = {{Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17284},
}

@inproceedings{iclr2019_adversarial_28986,
  title = {{Adversarial Domain Adaptation for Stable Brain-Machine Interfaces}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/686},
}

@inproceedings{cvpr2023_mot_21499,
  title = {{MOT: Masked Optimal Transport for Partial Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21759},
}

@inproceedings{neurips2016_hypothesis_55777,
  title = {{Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7055},
}

@inproceedings{neurips2022_spd_66056,
  title = {{SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53217},
}

@inproceedings{icml2022_robust_41121,
  title = {{Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16481},
}

@inproceedings{cvpr2019_min_14516,
  title = {{Min-Max Statistical Alignment for Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2024_probability_6996,
  title = {{Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29493},
}

@inproceedings{aaai2024_unsupervised_7716,
  title = {{Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28145},
}

@inproceedings{aaai2025_knowledge_9655,
  title = {{Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32032},
}

@inproceedings{neurips2024_geodesic_74027,
  title = {{Geodesic Optimization for Predictive Shift Adaptation on EEG data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93495},
}

@inproceedings{cvpr2025_multirate_27041,
  title = {{Multirate Neural Image Compression with Adaptive Lattice Vector Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34076},
}

@inproceedings{aaai2025_personalized_10290,
  title = {{Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33592},
}

@inproceedings{neurips2024_spgesture_71352,
  title = {{SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95897},
}

@inproceedings{neurips2024_optimal_73677,
  title = {{Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93815},
}

@inproceedings{aaai2025_mssda_9876,
  title = {{MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34451},
}

@inproceedings{aaai2025_progressive_10372,
  title = {{Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32162},
}

@inproceedings{aaai2025_protecting_10390,
  title = {{Protecting Model Adaptation from Trojans in the Unlabeled Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34250},
}

@inproceedings{iclr2024_learning_35458,
  title = {{Learning Conditional Invariances through Non-Commutativity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17615},
}

@inproceedings{icml2024_bayesian_44363,
  title = {{Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34089},
}

@inproceedings{icml2026_expectation_53520,
  title = {{Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gFPPTokv9C},
}

@inproceedings{icml2026_stabilizing_54383,
  title = {{Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=oUGeAcxuz5},
}

@inproceedings{neurips2024_nuclear_73569,
  title = {{Nuclear Fusion Diamond Polishing Dataset}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97539},
}

@inproceedings{neurips2025_controlled_74894,
  title = {{Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2LfZDy2Ldo},
}

@inproceedings{neurips2025_rethinking_77808,
  title = {{Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=XoN10bZtR9},
}

@inproceedings{iclr2025_spdim_81276,
  title = {{SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30495},
}

@inproceedings{iclr2026_cross_88217,
  title = {{Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=kTXRFtWHnM},
}