% Key papers for Ranking models from comparisons (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_to_57711,
  title = {{To Trust Or Not To Trust A Classifier}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11541},
}

@inproceedings{aaai2016_a_104962,
  title = {{A Comparative Study of Ranking-Based Semantics for Abstract Argumentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10116},
}

@inproceedings{aaai2023_uniform_4905,
  title = {{Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25540},
}

@inproceedings{aaai2017_preference_100922,
  title = {{Preference Elicitation For Participatory Budgeting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10563},
}

@inproceedings{aaai2018_collaborative_105726,
  title = {{Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11835},
}

@inproceedings{neurips2016_deconvolving_55663,
  title = {{Deconvolving Feedback Loops in Recommender Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7151},
}

@inproceedings{aaai2021_towards_1529,
  title = {{Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00689-towards-efficient-selection-of-activity-trajectories-based-on-diversity-and-coverage/},
}

@inproceedings{neurips2019_joint_58438,
  title = {{Joint Optimization of Tree-based Index and Deep Model for Recommender Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13559},
}

@inproceedings{aaai2017_recognising_100975,
  title = {{Recognising Multidimensional Euclidean Preferences}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10616},
}

@inproceedings{icml2017_just_36237,
  title = {{Just Sort It! A Simple and Effective Approach to Active Preference Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/592},
}

@inproceedings{aaai2019_collaborative_101628,
  title = {{Collaborative, Dynamic and Diversified User Profiling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4335},
}

@inproceedings{aaai2017_pairwise_101299,
  title = {{Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10634},
}

@inproceedings{aaai2017_optimizing_100944,
  title = {{Optimizing Positional Scoring Rules for Rank Aggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10585},
}

@inproceedings{aaai2021_out_1129,
  title = {{Out-of-Town Recommendation with Travel Intention Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04529-out-of-town-recommendation-with-travel-intention-modeling/},
}

@inproceedings{icml2016_data_35786,
  title = {{Data-driven Rank Breaking for Efficient Rank Aggregation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/khetan16.html},
}

@inproceedings{aaai2022_obtaining_2484,
  title = {{Obtaining Calibrated Probabilities with Personalized Ranking Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04083-obtaining-calibrated-probabilities-with-personalized-ranking-models/},
}

@inproceedings{icml2019_statistical_37757,
  title = {{Statistical Foundations of Virtual Democracy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3565},
}

@inproceedings{icml2019_active_37123,
  title = {{Active Embedding Search via Noisy Paired Comparisons}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4212},
}

@inproceedings{icml2017_statistical_36405,
  title = {{Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/590},
}

@inproceedings{icml2020_fast_38199,
  title = {{Fast Differentiable Sorting and Ranking}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6445},
}

@inproceedings{aaai2024_interactive_6338,
  title = {{Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29106},
}

@inproceedings{neurips2024_active_72002,
  title = {{Active preference learning for ordering items in- and out-of-sample}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95312},
}

@inproceedings{aaai2024_generalized_6117,
  title = {{Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30020},
}

@inproceedings{cvpr2025_foundations_26307,
  title = {{Foundations of the Theory of Performance-Based Ranking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33103},
}

@inproceedings{aaai2024_outlier_6883,
  title = {{Outlier Ranking for Large-Scale Public Health Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30222},
}

@inproceedings{aaai2025_axioms_8206,
  title = {{Axioms for AI Alignment from Human Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35116},
}

@inproceedings{neurips2024_tsds_74442,
  title = {{TSDS: Data Selection for Task-Specific Model Finetuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93130},
}

@inproceedings{aaai2024_eliciting_5818,
  title = {{Eliciting Honest Information from Authors Using Sequential Review}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28860},
}

@inproceedings{aaai2024_what_7808,
  title = {{What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28912},
}

@inproceedings{aaai2024_would_7831,
  title = {{Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30166},
}

@inproceedings{icml2025_preference_47458,
  title = {{Preference learning made easy: Everything should be understood through win rate}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45135},
}

@inproceedings{icml2026_predictable_50134,
  title = {{Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=9HpQXq9e9W},
}

@inproceedings{aaai2026_delayed_106176,
  title = {{Delayed Feedback Modeling with Influence Functions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38483},
}

@inproceedings{aaai2026_reference_108494,
  title = {{Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40846},
}

@inproceedings{aaai2024_interactive_6337,
  title = {{Interactive Human-Centric Bias Mitigation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30582},
}

@inproceedings{aaai2025_an_8112,
  title = {{An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33621},
}

@inproceedings{aaai2025_ready_10470,
  title = {{Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33366},
}

@inproceedings{icml2024_active_44511,
  title = {{Active Ranking and Matchmaking, with Perfect Matchings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33941},
}

@inproceedings{icml2024_inherent_45006,
  title = {{Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33446},
}

@inproceedings{icml2024_learning_45456,
  title = {{Learning from Streaming Data when Users Choose}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32995},
}