NeurIPS 2024 论文列表

Conference on Neural Information Processing Systems

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

录用类型

4,562篇论文

按官方录用论文列表统计，可能与会议公布的数字略有出入。

Oral
721.6%
Spotlight
3828.4%
Poster
4,06489.1%
其他 / 未标注
441.0%

全部4,562 Oral72 Spotlight382 Poster4,064

标题类型主题

Metrizing Weak Convergence with Maximum Mean Discrepancies

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

Journal

非凸优化弱监督

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

Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert Nowak

Journal

多任务排序多任务学习

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

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

Journal

通用机器学习 · evaluation 通用机器学习 · 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 深度学习 · optimization

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

Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

Journal

theory->optimization 深度学习 · optimization

Label Alignment Regularization for Distribution Shift

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

Journal

对齐与安全驾驶仿真

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

高斯过程稀疏加速

Efficient Convex Algorithms for Universal Kernel Learning

Aleksandr Talitckii, Brendon Colbert, Matthew Peet

Journal

高效训练驾驶仿真

An Analysis of Robustness of Non-Lipschitz Networks

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

Journal

对抗鲁棒鲁棒基准

Topological Hidden Markov Models

Adam B Kashlak, Prachi Loliencar, Giseon Heo

Journal

通用机器学习 · 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 深度学习 · optimization

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning

Matteo Bettini, Amanda Prorok, Vincent Moens

Journal

强化学习 AI Agent

Causal Bandits for Linear Structural Equation Models

Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer

Journal

深度学习 · causal inference 因果推荐

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

深度学习 · causal inference 药物发现

Critically Assessing the State of the Art in Neural Network Verification

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

Journal

验证形式验证 ML

Optimization-based Causal Estimation from Heterogeneous Environments

Mingzhang Yin, Yixin Wang, David Blei

Journal

强化学习深度学习 · optimization

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

Zixian Yang, Xin Liu, Lei Ying

Journal

AI Agent 探索利用

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

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

Journal

时间序列驾驶仿真

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

Ben Chugg, Hongjian Wang, Aaditya Ramdas

Journal

时间序列驾驶仿真

Nonparametric Regression for 3D Point Cloud Learning

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

Journal

三维视觉符号回归

NeurIPS 2024 论文列表

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