NeurIPS 2024 Papers

Conference on Neural Information Processing Systems

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

Decision breakdown

4,562papers

Counted from the official paper list; may differ slightly from the number the conference announced.

Oral
721.6%
Spotlight
3828.4%
Poster
4,06489.1%
Other / unlabeled
441.0%

All4,562 Oral72 Spotlight382 Poster4,064

TitleTypeTopic

Metrizing Weak Convergence with Maximum Mean Discrepancies

Carl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey

Journal

Nonconvex Optimization Weak Supervision

Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression

Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert Nowak

Journal

Multi-Task Ranking Multi-Task Learning

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Zongyi Li, Daniel Zhengyu Huang, Burigede liu, Anima Anandkumar

Journal

General ML · evaluation General ML · supervised learning

TorchOpt: An Efficient Library for Differentiable Optimization

Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

Journal

theory->optimization Deep learning · optimization

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables

Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

Journal

theory->optimization Deep learning · optimization

Label Alignment Regularization for Distribution Shift

Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip Torr, Yangchen Pan

Journal

Alignment and Safety Simulation for Driving

Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees

Alexander Terenin, David Burt, Artem Artemev, Seth Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge

Journal

Gaussian Processes Sparsity Acceleration

Efficient Convex Algorithms for Universal Kernel Learning

Aleksandr Talitckii, Brendon Colbert, Matthew Peet

Journal

Efficient Training Simulation for Driving

An Analysis of Robustness of Non-Lipschitz Networks

Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang

Journal

Adversarial Robustness Robustness Benchmarks

Topological Hidden Markov Models

Adam B Kashlak, Prachi Loliencar, Giseon Heo

Journal

General ML · supervised learning

Pre-trained Gaussian Processes for Bayesian Optimization

Zi Wang, George Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

Journal

theory->optimization Deep learning · optimization

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning

Matteo Bettini, Amanda Prorok, Vincent Moens

Journal

Reinforcement Learning AI Agents

Causal Bandits for Linear Structural Equation Models

Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer

Journal

Deep learning · causal inference Causal Recommendation

Causal-learn: Causal Discovery in Python

Yujia Zheng, Biwei Huang, Wei Chen, Joseph D Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang

Journal

Deep learning · causal inference Drug Discovery

Critically Assessing the State of the Art in Neural Network Verification

Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn

Journal

Verification Formal Verification ML

Optimization-based Causal Estimation from Heterogeneous Environments

Mingzhang Yin, Yixin Wang, David Blei

Journal

Reinforcement Learning Deep learning · optimization

Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment

Zixian Yang, Xin Liu, Lei Ying

Journal

AI Agents Exploration-Exploitation

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb

Journal

Time Series Simulation for Driving

A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds

Ben Chugg, Hongjian Wang, Aaditya Ramdas

Journal

Time Series Simulation for Driving

Nonparametric Regression for 3D Point Cloud Learning

Xinyi Li, Shan Yu, Yueying Wang, Guannan Wang, LI Wang, Ming-Jun Lai

Journal

3D Vision Symbolic Regression

NeurIPS 2024 Papers

Decision breakdown

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