% Key papers for Approximate nearest neighbor indexing (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_statistical_59016,
  title = {{Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14091},
}

@inproceedings{aaai2017_parameter_104484,
  title = {{Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10861},
}

@inproceedings{neurips2018_non_57442,
  title = {{Non-metric Similarity Graphs for Maximum Inner Product Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11464},
}

@inproceedings{iclr2020_learning_29825,
  title = {{Learning Space Partitions for Nearest Neighbor Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rkenmREFDr},
}

@inproceedings{aaai2021_rejection_1257,
  title = {{Rejection Sampling for Weighted Jaccard Similarity Revisited}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04197-rejection-sampling-for-weighted-jaccard-similarity-revisited/},
}

@inproceedings{aaai2018_margin_102431,
  title = {{Margin Based PU Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11698},
}

@inproceedings{aaai2016_indexable_105062,
  title = {{Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10234},
}

@inproceedings{neurips2019_an_57899,
  title = {{An adaptive nearest neighbor rule for classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14556},
}

@inproceedings{aaai2022_anisotropic_1744,
  title = {{Anisotropic Additive Quantization for Fast Inner Product Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04354-anisotropic-additive-quantization-for-fast-inner-product-search/},
}

@inproceedings{neurips2016_active_55560,
  title = {{Active Nearest-Neighbor Learning in Metric Spaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7375},
}

@inproceedings{cvpr2017_product_12554,
  title = {{Product Split Trees}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{icml2018_loss_36832,
  title = {{Loss Decomposition for Fast Learning in Large Output Spaces}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2391},
}

@inproceedings{neurips2016_leveraging_55847,
  title = {{Leveraging Sparsity for Efficient Submodular Data Summarization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7253},
}

@inproceedings{aaai2019_sign_101620,
  title = {{Sign-Full Random Projections}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4326},
}

@inproceedings{aaai2018_product_102485,
  title = {{Product Quantized Translation for Fast Nearest Neighbor Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11752},
}

@inproceedings{neurips2019_rates_58879,
  title = {{Rates of Convergence for Large-scale Nearest Neighbor Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14080},
}

@inproceedings{icml2018_improved_36749,
  title = {{Improved nearest neighbor search using auxiliary information and priority functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2041},
}

@inproceedings{neurips2022_tpu_64820,
  title = {{TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52780},
}

@inproceedings{icml2018_comparison_36579,
  title = {{Comparison-Based Random Forests}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1979},
}

@inproceedings{icml2018_improving_36752,
  title = {{Improving Sign Random Projections With Additional Information}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1896},
}

@inproceedings{aaai2025_on_10167,
  title = {{On Finding Hubs in High Dimensions with Sampling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33261},
}

@inproceedings{neurips2025_results_78305,
  title = {{Results of the Big ANN: NeurIPS’23 competition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=dB6W56wQL9},
}

@inproceedings{icml2024_approximate_43623,
  title = {{Approximate Nearest Neighbor Search with Window Filters}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34829},
}

@inproceedings{icml2024_weighted_43741,
  title = {{Weighted distance nearest neighbor condensing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34711},
}

@inproceedings{icml2025_randomized_47319,
  title = {{Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45270},
}

@inproceedings{icml2025_maximum_48508,
  title = {{Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44112},
}

@inproceedings{icml2026_theoretical_51134,
  title = {{Theoretical Investigation on Inductive Bias of Isolation Forest}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=J0y3sNbo9G},
}

@inproceedings{icml2026_approximate_52858,
  title = {{Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Zg6yWOIecu},
}

@inproceedings{neurips2024_online_73159,
  title = {{Online Consistency of the Nearest Neighbor Rule}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94273},
}

@inproceedings{neurips2025_autoencoding_75881,
  title = {{Autoencoding Random Forests}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=D7zMB5uEHw},
}

@inproceedings{neurips2025_discovering_75901,
  title = {{Discovering Data Structures: Nearest Neighbor Search and Beyond}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DOaqwuhEjc},
}

@inproceedings{neurips2025_vector_75916,
  title = {{Vector Database Watermarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Dbjzqvmd7t},
}

@inproceedings{iclr2026_welfarist_86844,
  title = {{Welfarist Formulations for Diverse Similarity Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=UWhOUrsgkA},
}

@inproceedings{neurips2026_cluster_89800,
  title = {{Cluster with Auctions for Vector Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153334},
}

@inproceedings{icml2025_lapsum_46507,
  title = {{LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46060},
}

@inproceedings{icml2026_amortized_49241,
  title = {{Amortized Maximum Inner Product Search with Learned Support Functions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0TRMWCwKRo},
}

@inproceedings{icml2026_a_53934,
  title = {{A Bi-metric Framework for Efficient Nearest Neighbor Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=kBzzertldC},
}

@inproceedings{neurips2026_fast_91203,
  title = {{Fast Diverse Nearest Neighbor Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/156099},
}

@inproceedings{neurips2026_knn_95288,
  title = {{KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/139272},
}