AAAI 2024

2,864 papers

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype

Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang

RPSC: Robust Pseudo-Labeling for Semantic Clustering

Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

QINGSONG LIU, Zhixuan Fang

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction

Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin

Rethinking Propagation for Unsupervised Graph Domain Adaptation

Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Jinyi Liu, Zhi Wang, YAN ZHENG, Jianye Hao, Chenjia Bai

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes

Jinsong Liu, Chenghan Xie, Qi Deng, DongDong Ge, Yinyu Ye

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan, Hong-Dong Li, Youqi Li

TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning

Jiexi Liu, Songcan Chen

Towards Making Learnware Specification and Market Evolvable

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer

Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification

Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang

Scaling Few-Shot Learning for the Open World

Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan

Hypergraph Neural Architecture Search

Wei LIN, Xu Peng, Zhengtao Yu, Taisong Jin

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma, Wei-Neng Chen, Jianqiang Li

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification

Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation

Zhanfeng Liao, Yan Liu, Qian Zheng, Gang Pan

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound

Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization

Yufan Liao, Qi Wu, Xing Yan

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Junlong Liao, Wenda Fu, Cong Wang, zhongyu wei, Jiarong Xu

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification

Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian

Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search

Meiyu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data

Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant Honavar

Multi-Granularity Causal Structure Learning

Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang

Backpropagation Through Agents

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li

Learning to Prompt Knowledge Transfer for Open-World Continual Learning

Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li

Component Fourier Neural Operator for Singularly Perturbed Differential Equations

Ye Li, Ting Du, Yiwen Pang, Zhongyi Huang

Towards Effective and General Graph Unlearning via Mutual Evolution

Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li

Agile Multi-Source-Free Domain Adaptation

Xinyao Li, Jingjing Li, Fengling Li, LEI ZHU, Ke Lu

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

Xinshu Li, Lina Yao

Deep Active Learning with Noise Stability

Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training

Wenjun Li, Pradeep Varakantham

Federated X-armed Bandit

Wenjie Li, Qifan Song, Jean Honorio, Guang Lin

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition

Mengke Li, Zhikai HU, Yang Lu, Weichao Lan, Yiu-ming Cheung

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Twice Class Bias Correction for Imbalanced Semi-supervised Learning

Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan

Tensorized Label Learning on Anchor Graph

Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Jian Li, Yong Liu, Weiping Wang

High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm

Jian Li, Yong Liu, Weiping Wang

Learning Spatially Collaged Fourier Bases for Implicit Neural Representation

Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong

Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency

Fuhao Li, Ziyang Gong, Yupeng Deng, Xianzheng Ma, Renrui Zhang

Regroup Median Loss for Combating Label Noise

Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

All Beings Are Equal in Open Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering

Bingheng Li, ErLin Pan, Zhao Kang

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee, JinYoung Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh

Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens

Sangho Lee, Hayun Lee, Dongkun Shin

Mixed-Effects Contextual Bandits

Kyungbok Lee, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim

Any-Way Meta Learning

JunHoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

Dongjin Lee, Juho Lee, Kijung Shin

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini

Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality

Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen

HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals

Ella Lan

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer

Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong

Friendly Attacks to Improve Channel Coding Reliability

Anastasiia Kurmukova, Deniz Gündüz

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Ghost Noise for Regularizing Deep Neural Networks

Atli Kosson, Dongyang Fan, Martin Jaggi

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik, Eyke Hüllermeier

Shuffled Deep Regression

Masahiro Kohjima

Pantypes: Diverse Representatives for Self-Explainable Models

Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn E. Kirchoff, Travis Maxfield, Alexander Tropsha, Shawn M. Gomez

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld

Structure-Aware Multimodal Sequential Learning for Visual Dialog

Young-Jin Kim, Min-Jun Kim, Kyunghwan An, Jinwoo Ahn, Jaeseok Kim

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

Robust Policy Learning via Offline Skill Diffusion

Woo Kyung Kim, Minjong Yoo, Honguk Woo

Cross-Class Feature Augmentation for Class Incremental Learning

Taehoon Kim, JaeYoo Park, Bohyung Han

Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-eung Kim

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Curved Representation Space of Vision Transformers

Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee