Paper Papers
5,546 papers found • Page 109 of 111
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
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
Emily McMilin
Understanding and Improving Optimization in Predictive Coding Networks
Nicholas Alonso, Jeffrey Krichmar, Emre Neftci
Understanding and Leveraging the Learning Phases of Neural Networks
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Wonjoon Chang, Dahee Kwon, Jaesik Choi
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
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, Xiaoshuang Chen, Yao WANG et al.
UniADS: Universal Architecture
Distiller Search for Distillation Gap
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning
Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Chenpeng Du, Yiwei Guo, Feiyu Shen et al.
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan et al.
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Unifying Decision and Function Queries in Stochastic Boolean Satisfiability
Yu-Wei Fan, Jie-Hong Jiang
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification
Zhiwei Zhao, Bin Liu, Yan Lu et al.
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
Yanhe Liu, Peng Wang, Ke Wenjun et al.
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
Xiaoxi Li, Yujia Zhou, Zhicheng Dou
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
Shangjian Yin, Peijie Huang, Yuhong Xu
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus
Qiao Zhang, Tao Xiang, Chunsheng Xin et al.
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
Uri Stern, Daniel Shwartz, Daphna Weinshall
Unit Selection with Nonbinary Treatment and Effect
Ang Li, Judea Pearl
Universal Weak Coreset
Ragesh Jaiswal, Amit Kumar
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
Heejo Kong, Suneung Kim, Ho-Joong Kim et al.
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Zixian Su, Jingwei Guo, Kai Yao et al.
Unravelling Expressive Delegations: Complexity and Normative Analysis
Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind
Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms
Zheng Xing, Weibing Zhao
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
Jiaqi Liu, Kai Wu, Qiang Nie et al.
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li, Ye Shi, Qian Yu et al.
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.
Unsupervised Extractive Summarization with Learnable Length Control Strategies
Renlong Jie, Xiaojun Meng, Xin Jiang et al.
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport
Jixiang Yu, Nanjun Chen, Ming Gao et al.
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning
Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Camara Gomes et al.
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
Sonny Achten, Francesco Tonin, Panagiotis Patrinos et al.
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
Jongwook Choi, Sungtae Lee, Xinyu Wang et al.
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
Huangxing Lin, Yuhang Dong, Xinghao Ding et al.
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
Wenjun Li, Pradeep Varakantham
Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement
Ziyu Yue, Jiaxin Gao, Zhixun Su
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
1903 Yiqi Dong, Dongxiao He, Xiaobao Wang et al.
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
Junseok Park, Yoonsung Kim, Hee bin Yoo et al.
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
Xiaowei Qian, Bingheng Li, Zhao Kang
Urban Region Embedding via Multi-View Contrastive Prediction
Zechen Li, Weiming Huang, Kai Zhao et al.
Using Artificial Populations to Study Psychological Phenomena in Neural Models
Jesse Roberts, Kyle Moore, Drew Wilenzick et al.