Papers
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin et al.
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
Kefu Yi, Kai Luo, Xiaolei Luo et al.
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
Xinhui Liu, Zhenghao Chen, Luping Zhou et al.
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation
Yue Zhao, Congyi Li, Kai Chen
UMIE: Unified Multimodal Information Extraction with Instruction Tuning
Lin Sun, Kai Zhang, Qingyuan Li et al.
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
Xiang Ma, Xuemei Li, Lexin Fang et al.
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
Jiayuan Chen, Kehan Guo, Zhen Liu et al.
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation
Hui Chen, Yinxu Jia, Guanghui Wang et al.
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Shunsuke Horii, Yoichi Chikahara
Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei et al.
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification
Yuxue Hu, Junsong Li, Mingmin Wu et al.
Understanding and Improving Optimization in Predictive Coding Networks
Nicholas Alonso, Jeffrey Krichmar, Emre Neftci
Understanding and Leveraging the Learning Phases of Neural Networks
Johannes Schneider, Mohit Prabhushankar
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Wonjoon Chang, Dahee Kwon, Jaesik Choi
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
Genki Osada, Tsubasa Takahashi, Takashi Nishide
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.
Understanding the Role of the Projector in Knowledge Distillation
Roy Miles, Krystian Mikolajczyk
Underwater Organism Color Fine-Tuning via Decomposition and Guidance
Xiaofeng Cong, Jie Gui, Junming Hou
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
Gengrui Zhang, Yao Wang, Xiaoshuang Chen et al.
UniADS: Universal Architecture-Distiller Search for Distillation Gap
Liming Lu, Zhenghan Chen, Xiaoyu Lu et al.
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning
Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.