Deadline:
As soon as possible
Program Starts: December 09, 2024
Program Ends: December 15, 2024
Location(s)
Canada
NeurIPS 2024, the Thirty-eighth Annual Conference on Neural Information Processing Systems, will be held at the Vancouver Convention Center.
Overview
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.
Details
Mission Statement
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 2024
The thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) is an interdisciplinary conference that brings together researchers in machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, life sciences, natural sciences, social sciences, and other adjacent fields. We invite submissions presenting new and original research on topics including but not limited to the following:
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General Machine Learning
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Deep Learning (e.g., architectures, generative models, optimization for deep networks)
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Reinforcement Learning (e.g., decision and control, planning, hierarchical RL, robotics)
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Applications (e.g., speech processing, computer vision, NLP)
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Machine Learning for Sciences (e.g. biology, physics, health sciences, social sciences)
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Probabilistic Methods (e.g., variational inference, causal inference, Gaussian processes)
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Optimization (e.g., convex and non-convex optimization)
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Neuroscience and Cognitive Science (e.g., neural coding, brain-computer interfaces)
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Theory (e.g., control theory, learning theory, algorithmic game theory)
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Infrastructure (e.g., datasets, competitions, implementations, libraries)
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Social Aspects of Machine Learning (e.g., AI safety, fairness, privacy, interpretability, human-AI interaction, ethics)
Machine learning is a rapidly evolving field, and so we welcome interdisciplinary submissions that do not fit neatly into existing categories.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Dates
Deadline: As soon as possible
Program starts:
December 09, 2024
Program ends:
December 15, 2024
Program Starts: December 09, 2024
Program Ends: December 15, 2024
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
