NeurIPS 2024将于12月10日至15日在加拿大温哥华举行，涵盖邀请演讲、口头报告、海报展示、教程、研讨会和社交活动等丰富内容。今年的邀请演讲嘉宾包括Alison Gopnik、Sepp Hochreiter、Fei-Fei Li等知名学者，主题涉及儿童学习、工业人工智能、视觉智能等多个领域。此外，大会还设有多个针对特定群体的研讨会，例如女性机器学习、少数族裔AI等，旨在促进AI领域的包容性和多样性。教程环节将围绕大型语言模型、动态稀疏性、数据隐私等热门话题展开，而研讨会则聚焦音频想象、神经AI、生成式AI等前沿领域，为AI研究者提供交流与合作的平台。

📅**NeurIPS 2024将于12月10日至15日在加拿大温哥华举行**，包含邀请演讲、口头报告、海报展示、教程、研讨会和社交活动等丰富内容，为AI领域专家学者提供交流平台。

🎤**邀请演讲嘉宾阵容强大**，涵盖Alison Gopnik、Sepp Hochreiter、Fei-Fei Li等知名学者，演讲主题涉及儿童学习、工业人工智能、视觉智能等多个前沿领域。

👥**多个针对特定群体的研讨会**，例如女性机器学习、少数族裔AI等，旨在促进AI领域的包容性和多样性，推动AI领域发展更加多元化。

📚**14个教程涵盖大型语言模型、动态稀疏性、数据隐私等热门话题**，为参与者提供深入学习和了解AI前沿发展的机会。

🔬**众多研讨会聚焦音频想象、神经AI、生成式AI等前沿领域**，为AI研究者提供交流与合作的平台，促进AI领域创新发展。

The thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024) will take place in Vancouver, Canada, from Tuesday 10 December to Sunday 15 December. There is a bumper programme of events, including invited talks, orals, posters, tutorials, workshops, and socials, not to mention AIhub’s session on science communication.

Invited talks

There are seven invited talks this year:
Alison Gopnik – The Golem vs. stone soup: Understanding how children learn can help us understand and improve AI
Sepp Hochreiter – Toward industrial artificial intelligence
Fei-Fei Li – From seeing to doing: Ascending the ladder of visual intelligence
Lidong Zhou – A match made in silicon: The co-evolution of systems and AI
Arnaud Doucet – From diffusion models to Schrödinger bridges
Danica Kragic – Learning for interaction and interaction for learning
Rosalind Picard – How to optimize what matters most?

Affinity group workshops

The following affinity group workshops will take place on Tuesday 10 – Thursday 12 December:

New in ML – Tuesday 10Global South in AI – Tuesday 10Affinity Joint Poster Session – Tuesday 10Muslims in ML – Tuesday 10Black in AI – Tuesday 10LatinX in AI – Tuesday 10Women in Machine Learning – Tuesday 10Queer in AI – Wednesday 11Neurodiversity Workshop – Thursday 12Indigenous in AI/ML – Thursday 12Bridging the Future – Thursday 12

Science communication for AI researchers – an introduction

We (AIhub) will be running a short course on science communication on Tuesday 10 December. Find out more here.

Tutorials

There will be a total of 14 tutorials this year. These will be held on Tuesday 10 December.

Evaluating Large Language Models – Principles, Approaches, and Applications, Bo Li, Irina Sigler, Yuan XueDynamic Sparsity in Machine Learning: Routing Information through Neural Pathways, Edoardo Maria Ponti, André MartinsOpening the Language Model Pipeline: A Tutorial on Data Preparation, Model Training, and Adaptation, Kyle Lo, Akshita Bhagia, Nathan LambertWatermarking for Large Language Models, Yu-Xiang Wang, Lei Li, Xuandong ZhaoCausality for Large Language Models, Zhijing Jin, Sergio GarridoFlow Matching for Generative Modeling, Ricky T. Q. Chen, Yaron Lipman, Heli Ben-HamuExperimental Design and Analysis for AI Researchers, Michael Mozer, Katherine Hermann, Jennifer HuPrivacyML: Meaningful Privacy-Preserving Machine Learning and How To Evaluate AI Privacy, Mimee Xu, Dmitrii Usynin, Fazl BarezAdvancing Data Selection for Foundation Models: From Heuristics to Principled Methods, Jiachen (Tianhao) Wang, Ludwig Schmidt, Ruoxi JiaCross-disciplinary insights into alignment in humans and machines, Gillian Hadfield, Dylan Hadfield-Menell, Joel Leibo, Rakshit TrivediGenerating Programmatic Solutions: Algorithms and Applications of Programmatic Reinforcement Learning and Code Generation, Levi Lelis, Xinyun Chen, Shao-Hua SunOut-of-Distribution Generalization: Shortcuts, Spuriousness, and Stability, Maggie Makar, Aahlad Manas Puli, Yoav WaldBeyond Decoding: Meta-Generation Algorithms for Large Language Models, Matthew Finlayson, Hailey Schoelkopf, Sean WelleckSandbox for the Blackbox: How LLMs Learn Structured Data?, Bingbin Liu, Ashok Vardhan Makkuva, Jason Lee

Find out more about the tutorials here.

Workshops

The workshops will take place on Saturday 14 and Sunday 15 December:

Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound GenerationNeuroAI: Fusing Neuroscience and AI for Intelligent SolutionsSymmetry and Geometry in Neural RepresentationsAdaptive Foundation Models: Evolving AI for Personalized and Efficient LearningGenAI for Health: Potential, Trust and Policy ComplianceLanguage GamificationMATH-AI: The 4th Workshop on Mathematical Reasoning and AIGenerative AI and Creativity: A dialogue between machine learning researchers and creative professionalsStatistical Frontiers in LLMs and Foundation Models3rd Workshop on New Frontiers in Adversarial Machine Learning (AdvML-Frontiers)5th Workshop on Self-Supervised Learning: Theory and PracticeAI4Mat-2024: NeurIPS 2024 Workshop on AI for Accelerated Materials DesignAttributing Model Behavior at Scale (ATTRIB)UniReps: Unifying Representations in Neural ModelsTable Representation Learning Workshop (TRL)Workshop on Responsibly Building Next Generation of Multimodal Foundation ModelsThe Fourth Workshop on Efficient Natural Language and Speech Processing (ENLSP-IV): Highlighting New Architectures for Future Foundation ModelsAIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and BeyondWorkshop on Scalable Continual Learning for Lifelong Foundation ModelsCausality and Large ModelsFine-Tuning in Modern Machine Learning: Principles and ScalabilityMathematics of Modern Machine Learning (M3L)Workshop on Behavioral Machine LearningAlgorithmic Fairness through the lens of Metrics and EvaluationBayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment designPluralistic Alignment WorkshopSocially Responsible Language Modelling Research (SoLaR)Workshop on Video-Language ModelsNeurIPS 2024 Workshop: Machine Learning and the Physical Sciences2nd Workshop on Touch Processing: From Data to KnowledgeSafe Generative AIScientific Methods for Understanding Neural Networks: Discovering, Validating, and Falsifying Theories of Deep Learning with ExperimentsEvaluating Evaluations: Examining Best Practices for Measuring Broader Impacts of Generative AIRegulatable ML: Towards Bridging the Gaps between Machine Learning Research and RegulationsFoundation Models for Science: Progress, Opportunities, and ChallengesInternational Workshop on Federated Foundation Models in Conjunction with NeurIPS 2024 (FL@FM-NeurIPS’24)D3S3: Data-driven and Differentiable Simulations, Surrogates, and SolversFoundation Model InterventionsMachine Learning for SystemsTackling Climate Change with Machine LearningIntrinsically Motivated Open-ended Learning (IMOL)Compositional Learning: Perspectives, Methods, and Paths ForwardMachine Learning in Structural BiologyML with New Compute ParadigmsTime Series in the Age of Large ModelsMultimodal Algorithmic Reasoning WorkshopNeurIPS’24 Workshop on Causal Representation LearningInterpretable AI: Past, Present and FutureAI for New Drug ModalitiesSystem-2 Reasoning at ScaleThe First Workshop on Large Foundation Models for Educational AssessmentRed Teaming GenAI: What Can We Learn from Adversaries?Workshop on Machine Learning and CompressionOptimization for ML WorkshopWorkshop on Open-World Agents: Synnergizing Reasoning and Decision-Making in Open-World Environments (OWA-2024)Towards Safe & Trustworthy Agents

Find out more about the workshops here.

Accepted papers and other events

Accepted paper listDatasets and benchmarks trackCompetition trackCreative AI track