Paper Papers

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition

Yuning Qiu, Guoxu Zhou, Andong Wang et al.

Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita et al.

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization

Yongyi Su, Xun Xu, Kui Jia

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks

Zhiying Jiang, Xingyuan Li, Jinyuan Liu et al.

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach

Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

Towards Squeezing-Averse Virtual Try-On via Sequential Deformation

Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Jiahuan Wang, Hong Chen

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs

Kun Zhu, Chunhui Zhao

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang et al.

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding

Zhe Chen, Daniel Harabor, Jiaoyang Li et al.

Training-Free Quantum Architecture Search

Zhimin He, Maijie Deng, Shenggen Zheng et al.

Transferable Adversarial Attacks for Object Detection Using Object

Aware Significant Feature Distortion - Xinlong Ding, Jiansheng Chen, Hongwei Yu et al.

Transferable Video Moment Localization by Moment-Guided Query Prompting

Hao Jiang, Yang Yizhang, Yadong Mu

Transfer and Alignment Network for Generalized Category Discovery

Wenbin An, Feng Tian, Wenkai Shi et al.

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang et al.

Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning

Jinsong Shi, Pan Gao, Jie Qin

Transformer-Based Selective Super-resolution for Efficient Image Refinement

Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo et al.

Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification

Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin et al.

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity

Van Thuy Hoang, O-Joun Lee

Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models

Shuang Li, Jiangjie Chen, Siyu Yuan et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation

Xiaohan Cui, Long Ma, Tengyu Ma et al.

TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection

Hao Sun, Mingyao Zhou, Wenjing Chen et al.

TREE-G: Decision Trees Contesting Graph Neural Networks

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models

Kun Zhang, Jiali Zeng, Fandong Meng et al.

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang et al.

Triple Feature Disentanglement for One-Stage Adaptive Object Detection

Haoan Wang, Shilong Jia, Tieyong Zeng et al.

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong et al.

Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness

Chenghan Xie, Chenxi Li, Chuwen Zhang et al.

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering

Lei Wang, Yi Hu, Jiabang He et al.

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing

Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data

Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

Twice Class Bias Correction for Imbalanced Semi

supervised Learning

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

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.

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 GAN for Single Image Super Resolution

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