% Key papers for Uncertainty-aware multi-view learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_ae2_13805,
  title = {{AE2-Nets: Autoencoder in Autoencoder Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_multi_11714,
  title = {{Multi-View Deep Network for Cross-View Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2019_explainable_101551,
  title = {{Explainable Recommendation through Attentive Multi-View Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4243},
}

@inproceedings{neurips2019_spatial_59002,
  title = {{Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14030},
}

@inproceedings{aaai2022_multi_2446,
  title = {{Multi-View Intent Disentangle Graph Networks for Bundle Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04379-multi-view-intent-disentangle-graph-networks-for-bundle-recommendation/},
}

@inproceedings{aaai2021_multi_1025,
  title = {{Multi-View Information-Bottleneck Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10085-multi-view-information-bottleneck-representation-learning/},
}

@inproceedings{aaai2016_robust_104976,
  title = {{Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10148},
}

@inproceedings{aaai2021_uncertainty_1577,
  title = {{Uncertainty-Aware Multi-View Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07545-uncertainty-aware-multi-view-representation-learning/},
}

@inproceedings{iclr2020_learning_29273,
  title = {{Learning Robust Representations via Multi-View Information Bottleneck}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=B1xwcyHFDr},
}

@inproceedings{aaai2019_efficient_100171,
  title = {{Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3879},
}

@inproceedings{aaai2019_cross_101728,
  title = {{Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4443},
}

@inproceedings{aaai2020_deep_102260,
  title = {{Deep Embedded Complementary and Interactive Information for Multi-View Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6122},
}

@inproceedings{cvpr2016_information_11614,
  title = {{Information Bottleneck Learning Using Privileged Information for Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{iclr2021_trusted_30261,
  title = {{Trusted Multi-View Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2908},
}

@inproceedings{cvpr2023_exploring_20949,
  title = {{Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22207},
}

@inproceedings{aaai2018_latent_102559,
  title = {{Latent Discriminant Subspace Representations for Multi-View Outlier Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11826},
}

@inproceedings{iclr2017_multi_28371,
  title = {{Multi-view Recurrent Neural Acoustic Word Embeddings}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=rJxDkvqee},
}

@inproceedings{aaai2017_multi_104446,
  title = {{Multi-View Correlated Feature Learning by Uncovering Shared Component}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10823},
}

@inproceedings{aaai2018_a_105929,
  title = {{A Multi-View Fusion Neural Network for Answer Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11989},
}

@inproceedings{aaai2021_community_273,
  title = {{Community-Aware Multi-Task Transportation Demand Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00320-community-aware-multi-task-transportation-demand-prediction/},
}

@inproceedings{aaai2024_dvanet_5583,
  title = {{DVANet: Disentangling View and Action Features for Multi-View Action Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28290},
}

@inproceedings{aaai2025_dammfnd_8584,
  title = {{DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32036},
}

@inproceedings{aaai2025_trusted_11114,
  title = {{Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33914},
}

@inproceedings{aaai2025_enhancing_8976,
  title = {{Enhancing Multi-View Classification Reliability with Adaptive Rejection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34088},
}

@inproceedings{cvpr2025_enhancing_26144,
  title = {{Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32930},
}

@inproceedings{aaai2025_from_9241,
  title = {{From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32865},
}

@inproceedings{aaai2025_time_10908,
  title = {{TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33924},
}

@inproceedings{aaai2025_robust_10571,
  title = {{Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33406},
}

@inproceedings{cvpr2025_rc_27352,
  title = {{RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35011},
}

@inproceedings{aaai2024_multi_6687,
  title = {{Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28792},
}

@inproceedings{aaai2025_openviewer_10206,
  title = {{OpenViewer: Openness-Aware Multi-View Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33800},
}

@inproceedings{aaai2025_sumi_10649,
  title = {{SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32054},
}

@inproceedings{aaai2024_enhancing_5851,
  title = {{Enhancing Low-Resource Relation Representations through Multi-View Decoupling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29752},
}

@inproceedings{aaai2025_multi_10038,
  title = {{Multi-View Collaborative Learning Network for Speech Deepfake Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32094},
}

@inproceedings{aaai2024_an_5174,
  title = {{An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29449},
}

@inproceedings{aaai2025_global_9347,
  title = {{Global-Semantic Alignment Distillation for Partial Multi-view Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35428},
}

@inproceedings{aaai2025_multi_10057,
  title = {{Multi-view Evidential Learning-based Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33911},
}

@inproceedings{aaai2026_trusted_107428,
  title = {{Trusted Multi-view Learning for Long-tailed Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39780},
}

@inproceedings{aaai2025_dual_8827,
  title = {{Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34775},
}

@inproceedings{aaai2025_hierarchical_9432,
  title = {{Hierarchical Consensus Network for Multiview Feature Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35465},
}