NeurIPS 2025 Papers

5,858 papers found • Page 1 of 118

$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

Simone Ricci, Niccolò Biondi, Federico Pernici et al.

NeurIPS 2025poster
3
citations

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

Lin Zhu, Yifeng Yang, Xinbing Wang et al.

NeurIPS 2025poster

$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug

NeurIPS 2025poster

$i$MIND: Insightful Multi-subject Invariant Neural Decoding

Zixiang Yin, Jiarui Li, Zhengming Ding

NeurIPS 2025poster

$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection

Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.

NeurIPS 2025poster

$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks

Francesco Innocenti, El Mehdi Achour, Christopher L Buckley

NeurIPS 2025poster

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

Rahul Vaze, Abhishek Sinha

NeurIPS 2025poster

$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

Taehoon Yoon, Yunhong Min, Kyeongmin Yeo et al.

NeurIPS 2025spotlight

$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

Jin Zhou, Kaiwen Wang, Jonathan Chang et al.

NeurIPS 2025poster
10
citations

$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power

Hongyu Shen, Zhizhen Jane Zhao

NeurIPS 2025poster

$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

Ruizhe Liu, Pei Zhou, Qian Luo et al.

NeurIPS 2025oral

$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks

Pei Zhou, Wanting Yao, Qian Luo et al.

NeurIPS 2025poster
1
citations

$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

Weilun Feng, Haotong Qin, Chuanguang Yang et al.

NeurIPS 2025oral

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time

Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang et al.

NeurIPS 2025poster

$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer

Huaizhi Qu, Inyoung Choi, Zhen Tan et al.

NeurIPS 2025poster
4
citations

$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning

Xiaojun Guo, Ang Li, Yifei Wang et al.

NeurIPS 2025poster

$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

Xijun Li, Jiexiang Yang, Jinghao Wang et al.

NeurIPS 2025poster
4
citations

1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering

Yuheng Yuan, Qiuhong Shen, Xingyi Yang et al.

NeurIPS 2025oral
6
citations

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Kevin Wang, Ishaan Javali, Michał Bortkiewicz et al.

NeurIPS 2025oral

3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs

Mehdi Makni, Xiang Meng, Rahul Mazumder

NeurIPS 2025poster

3D Equivariant Visuomotor Policy Learning via Spherical Projection

Boce Hu, Dian Wang, David Klee et al.

NeurIPS 2025spotlight

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.

NeurIPS 2025poster

3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion

Junyi Wang, Yuze Wang, Wantong Duan et al.

NeurIPS 2025poster

3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding

Chang Wu, ZHIYUAN LIU, Wen Shu et al.

NeurIPS 2025poster

3D Human Pose Estimation with Muscles

Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.

NeurIPS 2025poster

3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization

Yuze Hao, Linchao Zhu, Yi Yang

NeurIPS 2025poster

3D Interaction Geometric Pre-training for Molecular Relational Learning

Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.

NeurIPS 2025spotlight

3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model

Wenbo Hu, Yining Hong, Yanjun Wang et al.

NeurIPS 2025oral

3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

Xiao Cao, Beibei Lin, Bo Wang et al.

NeurIPS 2025poster

3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation

Yangshi Ge, Yiwei Bao, Feng Lu

NeurIPS 2025poster

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

Sean Lamont, Christian Walder, Amir Dezfouli et al.

NeurIPS 2025poster

3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks

Xiaotang Gai, Jiaxiang Liu, Yichen Li et al.

NeurIPS 2025oral
4
citations

3D Visual Illusion Depth Estimation

Chengtang Yao, Zhidan Liu, Jiaxi Zeng et al.

NeurIPS 2025poster
1
citations

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

NeurIPS 2025poster

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

Mengqi Guo, Bo Xu, Yanyan Li et al.

NeurIPS 2025posterarXiv:2511.05229

4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming

Zihan Zheng, Zhenlong Wu, Houqiang Zhong et al.

NeurIPS 2025oral

4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos

Zhen Xu, Zhengqin Li, Zhao Dong et al.

NeurIPS 2025spotlight

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Ziqiao Ma, Xuweiyi Chen, Shoubin Yu et al.

NeurIPS 2025oral

4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration

Jiahui Zhang, Yurui Chen, Yueming Xu et al.

NeurIPS 2025oral

4KAgent: Agentic Any Image to 4K Super-Resolution

Yushen Zuo, Qi Zheng, Mingyang Wu et al.

NeurIPS 2025poster

70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)

Tianyi Zhang, Mohsen Hariri, Shaochen (Henry) Zhong et al.

NeurIPS 2025poster
10
citations

A$^3$E: Towards Compositional Model Editing

Hongming Piao, Hao Wang, Dapeng Wu et al.

NeurIPS 2025poster

A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding

Mengjingcheng Mo, Xinyang Tong, Mingpi Tan et al.

NeurIPS 2025poster
2
citations

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation

Wenyu Zhu, Jianhui Wang, Bowen Gao et al.

NeurIPS 2025posterarXiv:2506.05768

A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data

Dongguen Kim, Young-Geun Choi, Minwoo Chae

NeurIPS 2025poster

A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning

Yihuan Mao, Chongjie Zhang

NeurIPS 2025poster

A Beyond-Worst-Case Analysis of Greedy k-means++

Qingyun Chen, Sungjin Im, Ben Moseley et al.

NeurIPS 2025poster

A Black-Box Debiasing Framework for Conditional Sampling

Han Cui, Jingbo Liu

NeurIPS 2025poster

Absence Bench: Language Models Can’t See What’s Missing

Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.

NeurIPS 2025spotlight

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Andrew Zhao, Yiran Wu, Yang Yue et al.

NeurIPS 2025spotlight
← PreviousNext →