NEURIPS Poster Papers
4,493 papers found • Page 86 of 90
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
Longshen Ou, Jingwei Zhao, Ziyu Wang et al.
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
Rui Tian, Mingfei Gao, Mingze Xu et al.
UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
Chenlong Deng, Zhisong Zhang, Kelong Mao et al.
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu et al.
UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
Yide Qiu, Tong Zhang, Shaoxiang Ling et al.
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
Yifei Wang, Weimin Bai, colin zhang et al.
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Pengwei Liu, Hangjie Yuan, Bo Dong et al.
UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
Xiaoqi Zhao, Youwei Pang, Chenyang Yu et al.
UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning
Ye Liu, Zongyang Ma, Junfu Pu et al.
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
Haoran Xu, Liyuan Mao, Hui Jin et al.
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Yu, Xiangyu Zhao et al.
Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
Benjamin Minixhofer, Ivan Vulić, Edoardo Maria Ponti
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
Universally Invariant Learning in Equivariant GNNs
Jiacheng Cen, Anyi Li, Ning Lin et al.
Universal Visuo-Tactile Video Understanding for Embodied Interaction
Yifan Xie, Mingyang Li, Shoujie Li et al.
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Chenao Li, Shuo Yan, Enyan Dai
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
Yunqi Hong, Sohyun An, Andrew Bai et al.
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
Xiaoyu Wu, Yifei Pang, Terrance Liu et al.
Unlearning-Aware Minimization
Hoki Kim, Keonwoo Kim, Sungwon Chae et al.
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
Chaofan Gan, Yuanpeng Tu, Xi Chen et al.
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
Qiankun Li, Feng He, Huabao Chen et al.
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
Jianze Li, Jiezhang Cao, Zichen Zou et al.
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
shu chen, HongJun Xu, Ruichi Zhang et al.
Unlocking Multimodal Mathematical Reasoning via Process Reward Model
Ruilin Luo, Zhuofan Zheng, Lei Wang et al.
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna et al.
Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing
Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.
Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
Xingxing Yang, Jie Chen, Zaifeng Yang
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
Sonia Mazelet, Rémi Flamary, Bertrand Thirion
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
Honghao Chen, Xingzhou Lou, Xiaokun Feng et al.
Unveiling Concept Attribution in Diffusion Models
Nguyen Hung-Quang, Hoang Phan, Khoa D Doan
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
Xinyan Su, Zhiheng Zhang, Jiyan Qiu et al.
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
Haocheng Luo, Mehrtash Harandi, Dinh Phung et al.
Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model
Tianle Li, Jihai Zhang, Yongming Rao et al.
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao et al.
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model
Xiaoyang Zhang, He Fang, Yang Deng et al.
Unveiling Transformer Perception by Exploring Input Manifolds
Alessandro Benfenati, Alfio Ferrara, Alessio Marta et al.
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
U-REPA: Aligning Diffusion U-Nets to ViTs
Yuchuan Tian, Hanting Chen, Mengyu Zheng et al.
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Dongyang Fan, Vinko Sabolčec, Martin Jaggi
User-Instructed Disparity-aware Defocus Control
Yudong Han, Yan Yang, Hao Yang et al.
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
Jiyu Guo, Shuo Yang, Yiming Huang et al.
UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
Yuanxin Liu, Rui Zhu, Shuhuai Ren et al.
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought
Chao Huang, Benfeng Wang, Wei Wang et al.
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
Kangrui Wang, Pingyue Zhang, Zihan Wang et al.
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
Qing Li, Huifang Feng, Xun Gong et al.
Validating LLM-as-a-Judge Systems under Rating Indeterminacy
Luke Guerdan, Solon Barocas, Kenneth Holstein et al.