The conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas.
The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
About NeurIPS 2021
The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021) is an interdisciplinary conference that brings together researchers in machine learning, computational neuroscience, statistics, optimization, economics, computer vision, natural language processing, computational biology, and other fields. We invite submissions presenting new and original research on topics including but not limited to the following:
- General Machine Learning (e.g., classification, unsupervised learning, transfer learning)
- Deep Learning (e.g., architectures, generative models, optimization for deep networks)
- Reinforcement Learning (e.g., decision and control, planning, hierarchical RL)
- Applications (e.g., speech processing, computational biology, computer vision, NLP)
- Probabilistic Methods (e.g., variational inference, causal inference, Gaussian processes)
- Optimization (e.g., convex and non-convex optimization)
- Neuroscience and Cognitive Science (e.g., neural coding, brain-computer interfaces)
- Theory (e.g., control theory, learning theory, algorithmic game theory)
- Infrastructure (e.g., datasets, competitions, implementations, libraries)
- Social Aspects of Machine Learning (e.g., AI safety, fairness, privacy, interpretability)
Machine learning is a rapidly evolving field, and so we welcome interdisciplinary submissions that do not fit neatly into existing categories, as well as work that addresses the social impact of machine learning.
The purpose of the Neural Information Processing Systems annual meeting is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their field. On Monday are tutorials, which cover a broad background on current lines of inquiry, affinity group meetings. The general sessions are held Tuesday - Friday, and include talks, posters, and demonstrations. The following Monday and Tuesday are the workshops, which are smaller meetings focused on current topics, and provide an informal, cutting edge venue for discussion.
Conference Sessions, Tutorials and Workshops
- Meetup Notification of Acceptance Aug 03 '21 01:00 AM UTC *
- Datasets and Benchmarks Abstract Deadline Aug 20 '21(Anywhere on Earth)
- Demonstration Submission Deadline Aug 27 '21(Anywhere on Earth)
- Datasets and Benchmarks Submission deadline (2nd round) Aug 27 '21(Anywhere on Earth)
- Author Notification Sep 28 '21 08:00 PM UTC
- Paper Submission Camera Ready Deadline Oct 26 '21 08:00 PM UTC
Opportunity is About:
Candidates should be from:
Description of Ideal Candidate:
Deadline: October 26, 2021
Program Starts: December 06, 2021
Program Ends: December 14, 2021