AAAI 2023

2,023 papers

Lifelong Compression Mixture Model via Knowledge Relationship Graph

Fei Ye, Adrian G. Bors

Learning Dynamic Latent Spaces for Lifelong Generative Modelling

Fei Ye, Adrian G. Bors

i-Code: An Integrative and Composable Multimodal Learning Framework

Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores

Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao

DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning

Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi You, Guiyun Fan

Prototypical Partial Optimal Transport for Universal Domain Adaptation

Yucheng Yang, Xiang Gu, Jian Sun

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery

Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang

Cluster-Guided Contrastive Graph Clustering Network

Xihong Yang, Yue Liu, sihang zhou, Siwei Wang, Wenxuan Tu

T-distributed Spherical Feature Representation for Imbalanced Classification

Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma

Simple and Efficient Heterogeneous Graph Neural Network

Xiaocheng Yang, Mingyu Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan

Understanding Representation Learnability of Nonlinear Self-Supervised Learning

Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai Li

CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration

Qisong Yang, Matthijs T.J. Spaan

Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning

Liwei Yang, Xiang Gu, Jian Sun

ADEPT: A DEbiasing PrompT Framework

Ke Yang, Charles Yu, Yi R. Fung, Manling Li, Heng Ji

Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints

Jianyi Yang, Shaolei Ren

Layout Generation as Intermediate Action Sequence Prediction

Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He

WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series

Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning

Enneng Yang, Junwei Pan, Ximei Wang, Haibin YU, Li Shen

Reinforcement Causal Structure Learning on Order Graph

Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo

Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable

Cambridge Yang, Michael Littman, Michael Carbin

T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction

Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness

Gang Yan, Hao Wang, Xu Yuan, Jian Li

Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing

Baturalp Yalçın, Ziye Ma, Javad Lavaei, Somayeh Sojoudi

Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level

Chase Yakaboski, Eugene Santos, Jr

Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping

Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis

Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió

Disentangled Representation for Causal Mediation Analysis

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion

Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li

USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning

Yuanzhuo Xu, Xiaoguang Niu, jie Yang, Steve Drew, Jiayu Zhou

BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning

Xiao Xu, Chenfei Wu, Shachar Rosenman, VASUDEV LAL, Wanxiang Che

Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations

Wuzhe Xu, Yulong Lu, Li Wang

Resilient Binary Neural Network

Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong

Neighborhood-Regularized Self-Training for Learning with Few Labels

Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu

Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification

Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing

Efficient Top-K Feature Selection Using Coordinate Descent Method

Lei Xu, Rong Wang, Feiping Nie, Xuelong Li

Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation

Kang Xu, Yan Ma, Bingsheng Wei, Wei Li

GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction

Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao

A Survey on Model Compression and Acceleration for Pretrained Language Models

Canwen Xu, Julian McAuley

Progressive Deep Multi-View Comprehensive Representation Learning

Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang

Contrastive Open Set Recognition

Baile Xu, Furao Shen, Jian Zhao

Federated Generative Model on Multi-Source Heterogeneous Data in IoT

Zuobin Xiong, Wei Li, zhipeng cai

Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits

GUOJUN XIONG, Jian Li

On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization

Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang

Semi-supervised Learning with Support Isolation by Small-Paced Self-Training

Zheng Xie, Hui Sun, Ming Li

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference

Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

Towards Optimal Randomized Strategies in Adversarial Example Game

Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems

Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian

Bayesian Federated Neural Matching That Completes Full Information

Peng Xiao, Samuel Cheng

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks

Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui

Zero-Cost Operation Scoring in Differentiable Architecture Search

Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane

Differentially Private Learning with Per-Sample Adaptive Clipping

Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning

Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks

Yihan Wu, Aleksandar Bojchevski, Heng Huang

MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning

Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation

Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang

Practical Markov Boundary Learning without Strong Assumptions

Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen

Faster Adaptive Federated Learning

Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems

Xidong Wu, Zhengmian Hu, Heng Huang

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models

Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework

Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li

Non-IID Transfer Learning on Graphs

Jun Wu, Jingrui He, Elizabeth Ainsworth

Towards In-Distribution Compatible Out-of-Distribution Detection

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqin Zhu, YuXuan Liu

Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification

Xin Wei, Wei Du, Huan Wan, Weidong Min

Predictive Multiplicity in Probabilistic Classification

Jamelle Watson-Daniels, David C. Parkes, Berk Ustun

Code-Aware Cross-Program Transfer Hyperparameter Optimization

Zijia Wang, Xiangyu He, Kehan Chen, CHEN LIN, Jinsong Su

Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits

Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui

Efficient Exploration in Resource-Restricted Reinforcement Learning

Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

Yunke Wang, Bo Du, Chang Xu

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation

Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu

AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution

Yu Wang, Jan Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram

USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network

Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao

Distributed Projection-Free Online Learning for Smooth and Convex Losses

Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang

Robust Self-Supervised Multi-Instance Learning with Structure Awareness

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang

Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference

Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

Xu Wang, Dezhong Peng, Ming Yan, Peng Hu

Deep Attentive Model for Knowledge Tracing

Xinping Wang, Liangyu Chen, Min Zhang

State-Conditioned Adversarial Subgoal Generation

Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework

Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek

Hierarchical Contrastive Learning for Temporal Point Processes

Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Huang Kai

The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models

Li Wang, Zhiguo Fu, Yingcong Zhou, Zili Yan

AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation

Lei Wang, Liang Zeng, Jian Li

Optimistic Whittle Index Policy: Online Learning for Restless Bandits

Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe

Effective Continual Learning for Text Classification with Lightweight Snapshots

Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning

Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li

Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data

Hongni Wang, Jingxin Yan, Xiaodong Yan

FedABC: Targeting Fair Competition in Personalized Federated Learning

Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su

Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets

Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun

Auto-Weighted Multi-View Clustering for Large-Scale Data

Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen

Kalman Bayesian Neural Networks for Closed-Form Online Learning

Philipp Wagner, Xinyang Wu, Marco F. Huber

Machines of Finite Depth: Towards a Formalization of Neural Networks

Pietro Vertechi, Mattia G. Bergomi

Training-Time Attacks against K-nearest Neighbors

Ara Vartanian, Will Rosenbaum, Scott Alfeld

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces

Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen

A Fair Generative Model Using LeCam Divergence

Soobin Um, Changho Suh

Policy-Adaptive Estimator Selection for Off-Policy Evaluation

Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno

Linear Regularizers Enforce the Strict Saddle Property

Matthew Ubl, Matthew Hale, Kasra Yazdani

Unbalanced CO-optimal Transport

Quang Huy TRAN, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko