IJCAI 2023

851 papers

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection

Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning

Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen

GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization

Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao

Spotlight News Driven Quantitative Trading Based on Trajectory Optimization

Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data

Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction

Feng Wu, Guoshuai Zhao, Xueming Qian, Li-wei H. Lehman

HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE

Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin

JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval

Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang

Transferable Curricula through Difficulty Conditioned Generators

Sidney Tio, Pradeep Varakantham

Revisiting the Evaluation of Deep Learning-Based Compiler Testing

Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung

Unveiling Concepts Learned by a World-Class Chess-Playing Agent

Aðalsteinn Pálsson, Yngvi Björnsson

Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data

Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo

Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies

Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis

Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery

Ziping Ma, Yuesheng Zhu, Guibo Luo, Xiyao Liu, Gerald Schaefer

Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction

Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction

Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu

Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain

Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu

Differentially Private Partial Set Cover with Applications to Facility Location

George Z. Li, Dung Nguyen, Anil Vullikanti

Sequential Attention Source Identification Based on Feature Representation

Dongpeng Hou, Zhen Wang, Chao Gao, Xuelong Li

Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering

Xixuan Hao, Danqing Huang, Jieru Lin, Chin-Yew Lin

Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images

Marzieh Haghighi, Mario C. Cruz, Erin Weisbart, Beth A. Cimini, Avtar Singh

StockFormer: Learning Hybrid Trading Machines with Predictive Coding

Siyu Gao, Yunbo Wang, Xiaokang Yang

A Generalized Deep Markov Random Fields Framework for Fake News Detection

Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su

Specifying and Testing k-Safety Properties for Machine-Learning Models

Maria Christakis, Hasan Ferit Eniser, Jorg Hoffmann, Adish Singla, Valentin Wüstholz

A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification

Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao

Graph Sampling-based Meta-Learning for Molecular Property Prediction

Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang

Prediction with Incomplete Data under Agnostic Mask Distribution Shift

Yichen Zhu, Jian Yuan, Bo Jiang, Tao LIN, Haiming Jin

Causal Deep Reinforcement Learning Using Observational Data

Wenxuan Zhu, Chao Yu, Qiang Zhang

Hierarchical Transformer for Scalable Graph Learning

Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang

Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution

Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li

pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting

Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang

MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning

Zhehua Zhong, Tianyi Chen, Zhen Wang

Reducing Communication for Split Learning by Randomized Top-k Sparsification

Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao

Graph Neural Convection-Diffusion with Heterophily

KAI ZHAO, Qiyu Kang, Yang Song, Rui She, Sijie Wang

LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening

Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance

Zheyu Zhang, Tianping Zhang, Jian Li

Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

Multi-level Graph Contrastive Prototypical Clustering

Yuchao Zhang, Yuan Yuan, Qi Wang

Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms

Yihan Zhang, Meikang Qiu, Hongchang Gao

SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching

Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin

Learning to Binarize Continuous Features for Neuro-Rule Networks

Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning

Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen

Dual Personalization on Federated Recommendation

Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang

Hierarchical State Abstraction based on Structural Information Principles

Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He

Explainable Reinforcement Learning via a Causal World Model

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization

Xiaohan Yu, Jun Wang, Yongsheng Gao

Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend

Chong Yu, Tao Chen, Zhongxue Gan

On the Reuse Bias in Off-Policy Reinforcement Learning

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan

LGI-GT: Graph Transformers with Local and Global Operators Interleaving

Shuo Yin, Guoqiang Zhong

Multi-Task Learning via Time-Aware Neural ODE

Feiyang YE, Xuehao Wang, Yu Zhang, Ivor W. Tsang

Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning

Zijian Yang, Zhiwei Li, Lu Sun

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning

Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng

Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View

Meimei Yang, Pengfei Fang, hui xue

Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data

Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

ProMix: Combating Label Noise via Maximizing Clean Sample Utility

Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu

Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer

Yifan Wu, Shichao Kan, Min Zeng, Min Li

FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity

Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng, Zengqiang Yan

Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting

Jinming Wu, Qi Qi, Jingyu Wang, Haifeng Sun, Zhikang Wu

More for Less: Safe Policy Improvement with Stronger Performance Guarantees

Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier

Generalization Bounds for Adversarial Metric Learning

Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu

PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces

Shuhei Watanabe, Archit Bansal, Frank Hutter

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator

Shuhei Watanabe, Noor Awad, Masaki Onishi, Frank Hutter

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

Shuhei Watanabe, Frank Hutter

Scalable Optimal Margin Distribution Machine

Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin

Contrastive Label Enhancement

Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan

FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training

Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting

Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu

From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang

Context-Aware Feature Selection and Classification

Juanyan Wang, Mustafa Bilgic

Deep Partial Multi-Label Learning with Graph Disambiguation

Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu

DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series

Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards

Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

Calibrating a Deep Neural Network with Its Predecessors

Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning

Xiaoli Tang, Han Yu

Spike Count Maximization for Neuromorphic Vision Recognition

Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang

Improving Heterogeneous Model Reuse by Density Estimation

Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data

Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning

Haolin Song, Mingxiao Feng, Wengang Zhou, Houqiang Li

Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks

Wonchul Shin, Yusung Kim

Unreliable Partial Label Learning with Recursive Separation

Yu Shi, Ning Xu, Hua Yuan, Xin Geng

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes

Zhaiming Shen, Ming-Jun Lai, Sheng Li

Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees

Daqian Shao, Marta Kwiatkowska

Some Might Say All You Need Is Sum

Eran Rosenbluth, Jan Tönshoff, Martin Grohe

Efficient Online Decision Tree Learning with Active Feature Acquisition

Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani

FedSampling: A Better Sampling Strategy for Federated Learning

Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie

NeuPSL: Neural Probabilistic Soft Logic

Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang

On Conditional and Compositional Language Model Differentiable Prompting

Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer

Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint

Canh V. Pham, Tan D. Tran, Dung T.K. Ha, My T. Thai

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation

Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

An Empirical Study on the Language Modal in Visual Question Answering

Daowan Peng, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Dangyang Chen

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits

Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan

Efficient NLP Model Finetuning via Multistage Data Filtering

Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training

Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement

Nathan Michlo, Richard Klein, Steven James

Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction

Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King