Papers
Universal Neural Functionals
Allan Zhou, Chelsea Finn, James Harrison
Universal Online Convex Optimization with $1$ Projection per Round
Wenhao Yang, Yibo Wang, Peng Zhao et al.
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin, Andreas Fürst, Simon Schmid et al.
Universal Rates for Active Learning
Steve Hanneke, Amin Karbasi, Shay Moran et al.
Universal Rates of Empirical Risk Minimization
Steve Hanneke, Mingyue Xu
Universal Sample Coding
Szymon Kobus, Tze-Yang Tung, Deniz Gündüz
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Xianlong Wang, Minghui Li, Wei Liu et al.
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
Yihua Zhang, Chongyu Fan, Yimeng Zhang et al.
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
Wei Ji, Jingjing Li, Wenbo Li et al.
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
Yaoyuan Liang, Zhuojun Cai, Jian Xu et al.
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang, Jiaxin Zhuang, Cheng Jin et al.
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
Muzhi Zhu, Yang Liu, Zekai Luo et al.
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
Jiwan Hur, Dong-Jae Lee, Gyojin Han et al.
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
Qiguang Chen, Libo Qin, Jiaqi Wang et al.
Unlocking the Potential of Global Human Expertise
Elliot Meyerson, Olivier Francon, Darren Sargent et al.
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
Sanae Lotfi, Yilun Kuang, Brandon Amos et al.
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
Jiashun Liu, Jianye Hao, Xiaotian Hao et al.
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
Hamish Ivison, Yizhong Wang, Jiacheng Liu et al.
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
Marvin Alberts, Oliver Schilter, Federico Zipoli et al.
Unraveling the Gradient Descent Dynamics of Transformers
Bingqing Song, Boran Han, Shuai Zhang et al.
Unravelling in Collaborative Learning
Aymeric Capitaine, Etienne Boursier, Antoine Scheid et al.
Unrolled denoising networks provably learn to perform optimal Bayesian inference
Aayush Karan, Kulin Shah, Sitan Chen et al.
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
Peter A. Wijeratne, Daniel C. Alexander
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
Ye Sun, Hao Zhang, Tiehua Zhang et al.
Unsupervised Anomaly Detection in The Presence of Missing Values
Feng Xiao, Jicong Fan