Barbara Engelhardt and Katherine Gorman, Position Paper Track Chairs 2025 As the Position Track Chairs for NeurIPS 2025, we are so excited to bring this new section of the conference to life. Inspired by the fantastic work done at ICML in 2024, the Position Paper Track is intended to spur conversation in the community about […]

Piotr Koniusz, Nancy Chen, Marzyeh Ghassemi, Razvan Pascanu, Hsuan-Tien Lin (Program Chairs) Lora Aroyo, Francesco Locatello, Konstantina Palla (Datasets & Benchmark Track Chairs) As NeurIPS expands, maintaining review quality and punctuality of the review process is increasingly difficult. While many reviews are thoughtfully written to elevate the quality of submissions, many authors have had experiences […]

Authors: Manuel Gomez Rodriguez, Pascale Fung, Theodore Papamarkou With the rapid growth and interest in NeurIPS and its associated workshops, the competition for workshops has increased alongside logistical constraints. To facilitate the process, the workshop chairs have agreed on the following guidelines for proposals to hold NeurIPS workshops in 2025. This document highlights the requirements […]

Track Chairs: Barbara Engelhardt, Cynthia Rudin This year at NeurIPS, we are initiating a Position Paper Track, following ICML 2024 and 2025 Position Paper Tracks. This is a time of accelerated development and deployment of methods designed in the NeurIPS community, where many people interact with AI in myriad ways – including high-stakes settings. Our […]

Authors:Program Chairs: Razvan Pascanu, Nancy Chen, Marzyeh Ghassemi, Piotr Koniusz, Hsuan-Tien Lin;Assistant Program Chairs: Elena Burceanu, Junhao Dong, Zhengyuan Liu, Po-Yi Lu, Isha Puri NeurIPS relies on the active participation of the research community to evaluate numerous submissions and uphold scientific quality. Being involved in the reviewing process provides an opportunity to engage with the […]

Authors:DB Track chairs: Lora Aroyo, Francesco Locatello, Konstantina Palla, DB Track resource and metadata chairs: Meg Risdal, Joaquin Vanschoren The NeurIPS Datasets & Benchmarks Track exists to highlight the crucial role that high-quality datasets and benchmarks play in advancing machine learning research. While algorithmic innovation often takes center stage, the progress of AI depends just as […]

By Yixuan Even Xu, Fei Fang, Jakub Tomczak, Cheng Zhang, Zhenyu Sherry Xue, Ulrich Paquet, Danielle Belgrave Overview Paper assignment is crucial in conference peer review as we need to ensure that papers receive high-quality reviews and reviewers are assigned papers that they are willing and able to review. Moreover, it is essential that a […]

Announcing the NeurIPS 2024 Best Paper Awards  By Marco Cuturi, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub Tomczak, Cheng Zhang,  Lora Aroyo, Francesco Locatello, Lingjuan Lyu The search committees for the “Best Paper Award” were nominated by the program chairs and the respective track chairs, who selected leading researchers with a diverse perspective on machine […]