NeurIPSArtificial Intelligence
Conference on Neural Information Processing Systems
2020 - 2025官方网站
最新论文
- 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching CapabilitiesKevin Wang, Ishaan Javali, Michal Bortkiewicz, Tomasz Trzcinski 等 · 2025 · 被引用 31 次
- 3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMsMehdi Makni, Xiang Meng, Rahul Mazumder · 2025 · 被引用 2 次
- 3D Gaussian Flats: Hybrid 2D/3D Photometric Scene ReconstructionMaria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li 等 · 2025
- 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic TasksXiaotang Gai, Jiaxiang Liu, Yichen Li, Zijie Meng 等 · 2025 · 被引用 16 次
- 3DOT: Texture Transfer for 3DGS Objects from a Single Reference ImageXiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang 等 · 2025 · 被引用 5 次
- 3EED: Ground Everything Everywhere in 3DRong Li, Yuhao Dong, Tianshuai Hu, Alan Liang 等 · 2025 · 被引用 9 次
- 4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular VideosMengqi Guo, Bo Xu, Yanyan Li, Gim Hee Lee · 2025 · 被引用 2 次
- 4KAgent: Agentic Any Image to 4K Super-ResolutionYushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang 等 · 2025 · 被引用 36 次
- A Clean Slate for Offline Reinforcement LearningMatthew Thomas Jackson, Uljad Berdica, Jarek Liesen, Shimon Whiteson 等 · 2025 · 被引用 7 次
- A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical StudyYuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu 等 · 2025
- A CLT for Polynomial GNNs on Community-Based GraphsLuciano Vinas, Arash A. Amini · 2025
- A Cramér-von Mises Approach to Incentivizing Truthful Data SharingAlex Clinton, Thomas Zeng, Yiding Chen, Xiaojin Zhu 等 · 2025 · 被引用 1 次
- A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and MaskingGal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot · 2025
- A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous EnvironmentsSiyuan Wu, Yongzhe Jia, Haolong Xiang, Xiaolong Xu 等 · 2025
- A Finite Sample Analysis of Distributional TD Learning with Linear Function ApproximationYang Peng, Kaicheng Jin, Liangyu Zhang, Zhihua Zhang · 2025 · 被引用 4 次
- A Geometric Analysis of PCAAyoub El Hanchi, Murat A. Erdogdu, Chris J. Maddison · 2025
- A Geometry-Aware Metric for Mode Collapse in Time Series Generative ModelsYassine Abbahaddou, Amine Mohamed Aboussalah · 2025
- A Gradient Guided Diffusion Framework for Chance Constrained ProgrammingBoyang Zhang, Zhiguo Wang, Ya-Feng Liu · 2025 · 被引用 1 次
- A Learning-Augmented Approach to Online Allocation ProblemsIlan Reuven Cohen, Debmalya Panigrahi · 2025
- A machine learning approach that beats Rubik's cubesAlexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev 等 · 2025
- A Multi-Task Benchmark for Abusive Language Detection in Low-Resource SettingsFitsum Gaim, Hoyun Song, Huije Lee, Changgeon Ko 等 · 2025 · 被引用 2 次
- A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable InputBar Mahpud, Or Sheffet · 2025 · 被引用 1 次
- A Semantic Parsing Framework for End-to-End Time NormalizationXin Su, Sungduk Yu, Phillip Howard, Steven Bethard · 2025
- A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and TriggersZhixiao Wu, Yao Lu, Jie Wen, Hao Sun 等 · 2025