NeurIPS Fellowship

NeurIPS Fellowship
Name	NeurIPS Fellowship
Awarded by	Neural Information Processing Systems Conference
First awarded	2018
Country	International

Contents

NeurIPS Fellowship

The NeurIPS Fellowship recognizes sustained contributions to the field of machine learning and artificial intelligence, connecting leaders across research labs, industry, and academia. The program highlights individuals who have had major influence on conference programs, International Conference on Machine Learning, Conference on Computer Vision and Pattern Recognition, Association for Computing Machinery, Institute of Electrical and Electronics Engineers, Google Research, OpenAI and other major venues. Recipients often span affiliations such as Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, University of Toronto and companies like DeepMind, Microsoft Research, Facebook AI Research, Amazon Web Services.

Overview

The fellowship honors researchers, engineers, and practitioners whose work shapes topics at Neural Information Processing Systems Conference, International Conference on Learning Representations, Journal of Machine Learning Research, Proceedings of Machine Learning Research, Royal Society-affiliated initiatives. It functions alongside awards like the Turing Award, ACM Fellowship, IEEE Fellow, Gödel Prize and complements prizes such as the Best Paper Award and Test-of-Time Award. Selection emphasizes contributions to areas represented at NeurIPS including work associated with researchers at University of Oxford, ETH Zurich, California Institute of Technology, Princeton University, University of California, Berkeley.

The program was established following discussions among organizers of Neural Information Processing Systems Conference, board members from NeurIPS Foundation, senior researchers from Google DeepMind, Facebook AI Research, and academic leaders from MIT Computer Science and Artificial Intelligence Laboratory, Vector Institute, and CIFAR. Early cohorts reflected the research directions pioneered by figures connected to Geoffrey Hinton, Yoshua Bengio, Yann LeCun, David Silver, Sergey Levine and institutions like University College London and Montreal Institute for Learning Algorithms. Over time, the fellowship evolved through consultations with program chairs from NeurIPS 2018, NeurIPS 2019, NeurIPS 2020, and NeurIPS 2021 and through engagement with diversity initiatives associated with Black in AI, Women in Machine Learning, and LatinX in AI.

Eligibility typically requires sustained contributions to NeurIPS-related research, community service, and leadership at organizations such as Google Research, IBM Research, Intel Labs, NVIDIA Research, and universities including Harvard University, Yale University, University of Cambridge, University of Washington. The nomination process involves endorsement from program committee members from NeurIPS Program Committee, prior fellows, and chairs affiliated with conferences like ICLR, ICML, AISTATS, and journals such as Nature Machine Intelligence. Selection committees consult metrics reflecting publication records in proceedings from Neural Information Processing Systems Conference, citation impact in databases tied to Google Scholar, leadership in projects at OpenAI, DeepMind, and service to workshops organized by Stanford HAI and Berkeley AI Research.

Fellows receive recognition at NeurIPS plenary sessions alongside keynote speakers from Neural Information Processing Systems Conference and may gain invitations to serve on advisory boards for initiatives at OpenAI, DeepMind, Microsoft Research, CIFAR, and editorial roles at Journal of Machine Learning Research, Nature Machine Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence. Responsibilities commonly include mentoring contributions to programs run by Black in AI, Women in Machine Learning, Queer in AI, participation in panels with representatives from European Laboratory for Learning and Intelligent Systems, and advising summer schools like Deep Learning Indaba and École des Ponts ParisTech workshops. Benefits can extend to networking with leaders from Amazon Web Services, Facebook AI Research, Alibaba DAMO Academy, and potential influence over conference policy with chairs of NeurIPS 2022, NeurIPS 2023.

Fellows have included researchers whose work intersects efforts by Yoshua Bengio, Geoffrey Hinton, Yann LeCun, Ian Goodfellow, Ruslan Salakhutdinov, Pieter Abbeel, Daphne Koller, Andrew Ng, and institutional programs at Stanford University, University of Toronto, UC Berkeley, Carnegie Mellon University, Microsoft Research. Their influence spans advances cited in work from AlphaGo, GPT, BERT, ResNet, Transformer, and collaborations with organizations such as OpenAI, DeepMind, IBM Research and policy discussions at OECD and UNESCO. Fellows often shape curricula at Coursera, edX, and research agendas at labs like Google Brain and consortia including Partnership on AI.

Critiques of the fellowship echo debates seen in controversies involving OpenAI, DeepMind, Google, and academic-industry relationships at MIT, Stanford, and Harvard. Concerns have been raised about concentration of awards among affiliates of Google Research, DeepMind, Facebook AI Research, and top institutions such as Stanford University, MIT, University of Toronto, leading to discussions about bias, transparency, and conflicts similar to those debated in contexts like AI ethics forums and advisory roles to institutions including OECD and European Commission. Calls for greater inclusion reference advocacy groups like Black in AI, Women in Machine Learning, and policy recommendations from UNESCO and ACM.