IJCAI 2024

1,048 papers

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection

Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie

Adaptive Order Q-learning

Tao Tan, Hong Xie, Defu Lian

Robust Contrastive Multi-view Kernel Clustering

Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv

Offline Reinforcement Learning with Behavioral Supervisor Tuning

Padmanaba Srinivasan, William Knottenbelt

Learning Pareto Set for Multi-Objective Continuous Robot Control

Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi

Learning with Posterior Sampling for Revenue Management under Time-varying Demand

Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai

A Context-Enhanced Framework for Sequential Graph Reasoning

Shuo Shi, Chao Peng, Chenyang Xu, Zhengfeng Yang

Estimating Conditional Average Treatment Effects via Sufficient Representation Learning

Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu

Predictive Accuracy-Based Active Learning for Medical Image Segmentation

Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An

EMOTE: An Explainable Architecture for Modelling the Other through Empathy

Manisha Senadeera, Thommen Karimpanal George, Stephan Jacobs, Sunil Gupta, Santu Rana

Robust Losses for Decision-Focused Learning

Noah Schutte, Krzysztof Postek, Neil Yorke-Smith

Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It

Yuta Saito, Masahiro Nomura

Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning

Yilong Ren, Chuanwen Feng, Xike Xie, S. Kevin Zhou

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering

Yazhou Ren, Jingyu Pu, Chenhang Cui, YAN ZHENG, Xinyue Chen

Dual Expert Distillation Network for Generalized Zero-Shot Learning

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang

What Makes Models Compositional? A Theoretical View

Parikshit Ram, Tim Klinger, Alexander G. Gray

Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery

Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng

FedPFT: Federated Proxy Fine-Tuning of Foundation Models

Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan

Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks

Jie Peng, Weiyu Li, Qing Ling

Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering

Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng

Probabilistically Robust Watermarking of Neural Networks

Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan Oseledets

A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI

Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang

ROME: Robust Multi-Modal Density Estimator

Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Learning Label-Specific Multiple Local Metrics for Multi-Label Classification

Jun-Xiang Mao, Jun-Yi Hang, Min-ling Zhang

Learning Embeddings for Sequential Tasks Using Population of Agents

Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla

Deciphering the Projection Head: Representation Evaluation Self-supervised Learning

Jiajun Ma, Tianyang Hu, Wenjia Wang

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning

Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang

Rank and Align: Towards Effective Source-free Graph Domain Adaptation

Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan

Simple Contrastive Multi-View Clustering with Data-Level Fusion

Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu

The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections

Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Zhou, Hongfei Lin

Implicit Prompt Learning for Image Denoising

Yao Lu, Bo Jiang, Guangming Lu, Bob Zhang

Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence

Shuai Lu, Meng Kang, Ximing Li

LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game

Jianfeng Lu, Yue Chen, Shuqin Cao, Longbiao Chen, Wei Wang

Revisiting Neural Networks for Continual Learning: An Architectural Perspective

Aojun Lu, Tao Feng, Hangjie Yuan, Xiaotian Song, Yanan Sun

Self-supervised Weighted Information Bottleneck for Multi-view Clustering

Zhengzheng Lou, Chaoyang Zhang, Hang Xue, Yangdong Ye, Qinglei Zhou

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points

Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan

An NCDE-based Framework for Universal Representation Learning of Time Series

Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory

Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference

Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia

Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks

Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang

MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator

Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li, Hao Li, Mei-Jiang Gui

Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy

SHIYU LIU, Wei Shi, Zenglin Xu, shaogao lv, Yehong Zhang

Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval

Kaiming Liu, Yunhong Gong, Yu Cao, Zhenwen Ren, Dezhong Peng

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments

Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao

Scalable Federated Unlearning via Isolated and Coded Sharding

Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Gui Gui

BATON: Aligning Text-to-Audio Model Using Human Preference Feedback

Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang

FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients

Zhuohua Li, Maoli Liu, John C. S. Lui

Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation

Zhengwei Li, Zhenyang Lin, Yurou Chen, Zhiyong Liu

Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection

Zhe Li, Shuo Chen, Jian Yang, Lei Luo

Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata

Yong Li, Sven Schewe, Qiyi Tang

Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations

Ye Li, Siqi Chen, Bin Shan, Sheng-jun Huang

Fast Unpaired Multi-view Clustering

Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor Tsang

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives

Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan

No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning

Xiang Li, Songcan Chen

SketchEdit: Editing Freehand Sketches at the Stroke-Level

Tengjie Li, Shikui Tu, Lei Xu

Prompt Learning with Extended Kalman Filter for Pre-trained Language Models

Quan Li, Xike Xie, Chao Wang, S. Kevin Zhou

DarkFed: A Data-Free Backdoor Attack in Federated Learning

Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal

Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li

DWLR: Domain Adaptation under Label Shift for Wearable Sensor

Juren Li, Yang Yang, Youmin Chen, Jianfeng Zhang, Zeyu Lai

A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning

Jingcong Li, Chunjin Ye, Fei Wang, Jiahui Pan

Combinatorial Routing for Neural Trees

Jiahao Li, Ruichu Cai, Yuguang Yan

Hypergraph Self-supervised Learning with Sampling-efficient Signals

Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang

Unbiased Active Semi-supervised Binary Classification Models

JooChul Lee, Weidong Ma, Ziyang Wang

Toward a Manifold-Preserving Temporal Graph Network in Hyperbolic Space

Viet Quan Le, Viet Cuong Ta

A De-singularity Subgradient Approach for the Extended Weber Location Problem

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen

Deep Neural Networks via Complex Network Theory: A Perspective

Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora

Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts

Philipp Kunz, Ilche Georgievski, Marco Aiello

Look-ahead Search on Top of Policy Networks in Imperfect Information Games

Ondřej Kubíček, Neil Burch, Viliam Lisy

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling

N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo

Exploiting Multi-Label Correlation in Label Distribution Learning

Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi

Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization

Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms

Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation

Woo Kyung Kim, Minjong Yoo, Honguk Woo

HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks

Nam Joon Kim, Jongho Lee, Hyun Kim

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks

Donghoon Kim, Minjong Yoo, Honguk Woo

Integrating Vision-Language Semantic Graphs in Multi-View Clustering

Junlong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren

Scaling Up Unbiased Search-based Symbolic Regression

Paul Kahlmeyer, Joachim Giesen, Michael Habeck, Henrik Voigt

Temporal Domain Generalization via Learning Instance-level Evolving Patterns

Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma

EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection

Chi Jiang, Xihan Liu, Shenao Wang, Jinzhuo Liu, Yin Zhang

QFormer: An Efficient Quaternion Transformer for Image Denoising

Bo Jiang, Yao Lu, Guangming Lu, Bob Zhang

Label Distribution Learning from Logical Label

Yuheng Jia, Jiawei Tang, Jiahao Jiang

CAP: A Context-Aware Neural Predictor for NAS

Han Ji, Yuqi Feng, Yanan Sun

Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics

Tomoharu Iwata, Yusuke Tanaka

An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing

Yuyang Huang, Wenjing Lu, Yang Yang

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data

Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv

Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features

Teng Huang, Bin-Bin Jia, Min-ling Zhang

Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences

Rui Huang, Sikun Yang, Heinz Koeppl

LeRet: Language-Empowered Retentive Network for Time Series Forecasting

Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi

Multimodal Representation Distribution Learning for Medical Image Segmentation

Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang

Practical Hybrid Gradient Compression for Federated Learning Systems

Sixu Hu, Linshan Jiang, Bingsheng He

Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains

Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning

Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost

Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim

SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward

XIN HE, Hongwei Ge, Yaqing Hou, Jincheng Yu

BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data

Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai

InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification

Qi Han, Zhibo Tian, Chengwei Xia, Kun Zhan

Online Sampling and Decision Making with Low Entropy

Mohammad Taghi Hajiaghayi, Dariusz R. Kowalski, Piotr Krysta, Jan Olkowski

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection

Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning

Jingcai Guo, Qihua ZHOU, Xiaocheng Lu, Ruibin Li, Ziming Liu