AAAI Papers

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

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.