AAAI 2024

2,864 papers

Hyperbolic Graph Diffusion Model

Lingfeng Wen, XUAN TANG, Mingjie Ouyang, Xiangxiang Shen, Jian Yang

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun, Mengyi Wei, Wei Yu

EAT: Towards Long-Tailed Out-of-Distribution Detection

Tong Wei, Bo-Lin Wang, Min-ling Zhang

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Huazheng Wang, Hongning Wang

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie, Fan Wang, GUANGMING Shi

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao

Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures

Yulong Wang

Graph-Aware Contrasting for Multivariate Time-Series Classification

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li

Critic-Guided Decision Transformer for Offline Reinforcement Learning

Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS, Jan Drgona, Malachi Schram

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains

Yimu Wang, Yihan Wu, Hongyang Zhang

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai, You-Wei Luo, Hong Yan

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity

Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller

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

Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, GUOJUN XIONG, Jian Li

Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence

Shengbo Wang, Ke Li

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu

ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model

Qixin Wang, Chaoqiong Fan, Tianyuan Jia, Yuyang Han, Xia Wu

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting

Muyao Wang, wenchao chen, Bo Chen

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components

Min Wang, Xin Li, Leiji Zhang, Mingzhong Wang

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

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang

Rethinking Graph Masked Autoencoders through Alignment and Uniformity

Liang Wang, Xiang Tao, Qiang Liu, Shu Wu

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering

Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Jiahuan Wang, Hong Chen

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo

V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models

Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai

Gradient-Guided Modality Decoupling for Missing-Modality Robustness

Hao Wang, Shengda Luo, Guosheng Hu, Jianguo Zhang

Generative Model-Based Feature Knowledge Distillation for Action Recognition

Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu

DiffAIL: Diffusion Adversarial Imitation Learning

Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-jun Huang

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier

Causal Strategic Learning with Competitive Selection

Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli

Attribute-Missing Graph Clustering Network

Wenxuan Tu, Renxiang Guan, sihang zhou, Chuan Ma, Xin Peng

Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes

Quang Truong, peter chin

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li, Ping Wang

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun

Amalgamating Multi-Task Models with Heterogeneous Architectures

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke Rundensteiner

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

FFT-Based Dynamic Token Mixer for Vision

Yuki Tatsunami, Masato Taki

Efficient Nonparametric Tensor Decomposition for Binary and Count Data

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang

z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration

Zhenchao Tang, Jiehui Huang, Guanxing Chen, Calvin Yu-Chian Chen

Non-monotone Sequential Submodular Maximization

Shaojie Tang, Jing Yuan

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu, Qiaochu Huang, Jun Chen

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization

Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray Buntine

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa

Learning Not to Regret

David Sychrovský, Michal Šustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng

Dual Self-Paced Cross-Modal Hashing

Yuan Sun, Jian Dai, Zhenwen Ren, Yingke Chen, Dezhong Peng

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li

On the Role of Server Momentum in Federated Learning

Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang

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

Yongyi Su, Xun Xu, Kui Jia

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue

GSENet:Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He, Dongzhi Guan, Changpeng Cai

Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems

Jiayang Su, Junbo Ma, Songyang Tong, Enze Xu, Minghan Chen

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang

Multi-Dimensional Fair Federated Learning

Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias

Xiang Song, Yuhang He, Songlin Dong, Yihong Gong

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal, Hao Li, Martin Takac, Lu Ren

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, Prathosh AP

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

Debaditya Shome, Pritam Sarkar, Ali Etemad

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Hyunjune Shin, Dong-Wan Choi

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Liangliang Shi, Zhaoqi Shen, Junchi Yan

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

Structural Information Enhanced Graph Representation for Link Prediction

Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data

Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie

Building Variable-Sized Models via Learngene Pool

Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems

Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou