Papers
11,951 papers found
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
Yan Sun, Stanley Kok
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
Jingbo Sun, Songjun Tu, qichao Zhang et al.
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
Julián Tachella, Mike Davies, Laurent Jacques
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
Yuze Zhao, Tianyun Ji, Wenjun Feng et al.
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
Zhi Sheng, Daisy Yuan, Jingtao Ding et al.
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang et al.
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Zeyu Yun, Juexiao Zhang, Yann LeCun et al.
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu, Melody Lo
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
Devon R. Graham, Kevin Leyton-Brown
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun et al.
UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning
Shicheng Liu, Minghui Zhu
UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping
Yanjie Li, Kaisheng Liang, Bin Xiao
VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
Yi Xiao, Qilong Jia, Kun Chen et al.
Valid Conformal Prediction for Dynamic GNNs
Ed Davis, Ian Gallagher, Daniel John Lawson et al.
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Shicong Cen, Jincheng Mei, Katayoon Goshvadi et al.
Variance-Reducing Couplings for Random Features
Isaac Reid, Stratis Markou, Krzysztof Marcin Choromanski et al.
Variational Bayesian Pseudo-Coreset
Hyungi Lee, Seungyoo Lee, Juho Lee
Variational Best-of-N Alignment
Afra Amini, Tim Vieira, Elliott Ash et al.
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr MOUFAD, Yazid Janati, Lisa Bedin et al.
Variational Search Distributions
Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong et al.
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
Jihan Yao, Wenxuan Ding, Shangbin Feng et al.
VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
Tianyu Zhang, Suyuchen Wang, Lu Li et al.
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin et al.
Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors
Haiyu Wu, Jaskirat Singh, Sicong Tian et al.