AAAI Papers

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization

Jiyoung Kim, Kyuhong Shim, Insu Lee et al.

ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment

Yicheng Zhong, Huawei Wei, Peiji Yang et al.

Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders

Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.

ExpeL: LLM Agents Are Experiential Learners

Andrew Zhao, Daniel Huang, Quentin Xu et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Explaining Generalization Power of a DNN Using Interactive Concepts

Huilin Zhou, Hao Zhang, Huiqi Deng et al.

Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

Yotam Amitai, Yael Friedler, Ofra Amir

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack

Daizong Liu, Wei Hu

Explicit Visual Prompts for Visual Object Tracking

Liangtao Shi, Bineng Zhong, Qihua Liang et al.

Exploiting Auxiliary Caption for Video Grounding

Hongxiang Li, Meng Cao, Xuxin Cheng et al.

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Yuguang Yan, Zeqin Yang, Weilin Chen et al.

Exploiting Label Skews in Federated Learning with Model Concatenation

Yiqun Diao, Qinbin Li, Bingsheng He

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei et al.

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

Xi Chen, Chang Gao, Zuowen Wang et al.

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.

Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection

Wenwen Zhang, Yun Hu, Hangguan Shan et al.

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

Exploring Diverse Representations for Open Set Recognition

Yu Wang, Junxian Mu, Pengfei Zhu et al.

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective

Wanying Wang, Yichen Zhu, Yirui Zhou et al.

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Likang Wu, Zhaopeng Qiu, Zhi Zheng et al.

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li et al.

Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation

Zhewei Yao, Xiaoxia Wu, Cheng Li et al.

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian et al.

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

Exploring Transformer Extrapolation

Zhen Qin, Yiran Zhong, Hui Deng

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

Zhongjie Ba, Qingyu Liu, Zhenguang Liu et al.

Expressive Forecasting of 3D Whole-Body Human Motions

Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.

Expressive Multi-Agent Communication via Identity-Aware Learning

Wei Du, Shifei Ding, Lili Guo et al.

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Sitong Su, Jianzhi Liu, Lianli Gao et al.

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

FaceRSA: RSA-Aware Facial Identity Cryptography Framework

Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Fact-Driven Logical Reasoning for Machine Reading Comprehension

Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning

Ancong Wu, Wei-shi Zheng

Factorized Explainer for Graph Neural Networks

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

Cheng Yang, Jixi Liu, Yunhe Yan et al.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

Patrick Altmeyer, Mojtaba Farmanbar, Arie Van Deursen et al.