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NeurIPS 2023: all accepted papers

3,540 papers · page 32 of 36 · the most cited first · ← NeurIPS 2023

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  1. Generalized Belief Transport ↗Junqi Wang, Pei Wang, Patrick Shafto
  2. Generating QM1B with PySCFIPU ↗Alexander Mathiasen, Hatem Helal, Kerstin Kläser et al.
  3. Generator Born from Classifier ↗Runpeng Yu, Xinchao Wang
  4. Geometric Analysis of Matrix Sensing over Graphs ↗Haixiang Zhang, Ying Chen, Javad Lavaei
  5. GloptiNets: Scalable Non-Convex Optimization with Certificates ↗Gaspard Beugnot, Julien Mairal, Alessandro Rudi
  6. GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces ↗Josephine Lamp, Mark Derdzinski, Christopher Hannemann et al.
  7. Gradient-Based Feature Learning under Structured Data ↗Alireza Mousavi-Hosseini, Denny C.-Y. Wu, Taiji Suzuki et al.
  8. Graph-Structured Gaussian Processes for Transferable Graph Learning ↗Jun Wu, Lisa Ainsworth, Andrew D. B. Leakey et al.
  9. Grassmann Manifold Flows for Stable Shape Generation ↗Ryoma Yataka, Kazuki Hirashima, Masashi Shiraishi
  10. Grounding Neural Inference with Satisfiability Modulo Theories ↗Zifan Wang, Saranya Vijayakumar, Kaiji Lu et al.
  11. Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products ↗Tamás Sarlós, Xingyou Song, David P. Woodruff et al.
  12. History Filtering in Imperfect Information Games: Algorithms and Complexity ↗Christopher Solinas, Douglas Rebstock, Nathan Sturtevant et al.
  13. How do Minimum-Norm Shallow Denoisers Look in Function Space? ↗Chen Zeno, Greg Ongie, Yaniv Blumenfeld et al.
  14. How to Data in Datathons ↗Carlos Mougan, Richard R. Plant, Clare Teng et al.
  15. Hypothesis Selection with Memory Constraints ↗Maryam Aliakbarpour, Mark Bun, Adam Smith
  16. Ignorance is Bliss: Robust Control via Information Gating ↗Manan Tomar, Riashat Islam, Matthew Taylor et al.
  17. Im-Promptu: In-Context Composition from Image Prompts ↗Bhishma Dedhia, Michael Chang, Jake Snell et al.
  18. Imitation Learning from Vague Feedback ↗Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang et al.
  19. Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning ↗Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini et al.
  20. Improving the Knowledge Gradient Algorithm ↗Le Yang, Siyang Gao, Chin Pang Ho
  21. Incentivized Communication for Federated Bandits ↗Zhepei Wei, Chuanhao Li, Haifeng Xu et al.
  22. Information-guided Planning: An Online Approach for Partially Observable Problems ↗Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib et al.
  23. Intervention Generalization: A View from Factor Graph Models ↗Gecia Bravo-Hermsdorff, David Watson, Jialin Yu et al.
  24. Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective ↗João B. S. Carvalho, Mengtao Zhang, Robin Geyer et al.
  25. Is Learning in Games Good for the Learners? ↗William Brown, Jon Schneider, Kiran Vodrahalli
  26. Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics ↗Anton Yu. Voronov, Mikhail Khoroshikh, Артем Вікторович Бабенко et al.
  27. Katakomba: Tools and Benchmarks for Data-Driven NetHack ↗Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov et al.
  28. Kernel-Based Tests for Likelihood-Free Hypothesis Testing ↗Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy et al.
  29. Kernelized Cumulants: Beyond Kernel Mean Embeddings ↗Patric Bonnier, Harald Oberhauser, Zoltán Szabó A
  30. Large-Scale Distributed Learning via Private On-Device LSH ↗Tahseen Rabbani, Marco Bornstein, Furong Huang
  31. Latent Graph Inference with Limited Supervision ↗Jianglin Lu, Yi Xu, Huan Wang et al.
  32. Learning Dictionary for Visual Attention ↗Yingjie Liu, Xuan Liu, Hui Yu et al.
  33. Learning Exponential Families from Truncated Samples ↗Jane Lee, Andre Wibisono, Emmanouil Zampetakis
  34. Learning From Biased Soft Labels ↗Hua Yuan, Yu Shi, Ning Xu et al.
  35. Learning List-Level Domain-Invariant Representations for Ranking ↗Ruicheng Xian, Honglei Zhuang, Zhen Qin et al.
  36. Learning Modulated Transformation in GANs ↗Ceyuan Yang, Q. Zhang, Yinghao Xu et al.
  37. Learning Provably Robust Estimators for Inverse Problems via Jittering ↗Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
  38. Learning Rate Free Sampling in Constrained Domains ↗Louis Sharrock, Lester Mackey, Christopher Nemeth
  39. Learning Reliable Logical Rules with SATNet ↗Zhaoyu Li, Jinpei Guo, Yuhe Jiang et al.
  40. Learning Visual Prior via Generative Pre-Training ↗Jinheng Xie, Kai Ye, Yudong Li et al.
  41. Learning the Efficient Frontier ↗Philippe Chatigny, Ivan Sergienko, Ryan Ferguson et al.
  42. Lexinvariant Language Models ↗Qian Huang, Eric Zelikman, Sarah Chen et al.

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