IJCAI 2023

851 papers

Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps

Jun-Xiang Mao, Wei Wang, Min-ling Zhang

CTW: Confident Time-Warping for Time-Series Label-Noise Learning

Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma

Multi-View Robust Graph Representation Learning for Graph Classification

Guanghui Ma, Chunming Hu, Ling Ge, Hong Zhang

Recognizable Information Bottleneck

Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng

Label Enhancement via Joint Implicit Representation Clustering

Yunan Lu, Weiwei Li, Xiuyi Jia

Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants

Peng Liu, Haowei Wang, Wei Qiyu

Open-world Semi-supervised Novel Class Discovery

Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer

Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao

Learning Survival Distribution with Implicit Survival Function

Yu Ling, Weimin Tan, Bo Yan

Contrastive Learning and Reward Smoothing for Deep Portfolio Management

Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning

Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu

Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG

Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs

Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, YAN ZHENG

IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse

Yang Li, Liangliang Shi, Junchi Yan

Towards Sharp Analysis for Distributed Learning with Random Features

Jian Li, Yong Liu

Incomplete Multi-view Clustering via Prototype-based Imputation

Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels

Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng

MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations

Dong Won Lee, Yubin Kim, Rosalind W. Picard, Cynthia Breazeal, Hae Won Park

SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations

Chan Kim, Jaekyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks

Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy

Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer

Multi-Modality Deep Network for JPEG Artifacts Reduction

Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan

Latent Processes Identification From Multi-View Time Series

Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

Enabling Abductive Learning to Exploit Knowledge Graph

Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai

Federated Graph Semantic and Structural Learning

Wenke Huang, Guancheng Wan, Mang Ye, Bo Du

Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification

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

DiffAR: Adaptive Conditional Diffusion Model for Temporal-augmented Human Activity Recognition

Shuokang Huang, Po-Yu Chen, Julie McCann

Dynamic Flows on Curved Space Generated by Labeled Data

Xinru Hua, Truyen Nguyen, Tam Le, Jose Blanchet, Viet Anh Nguyen

BRExIt: On Opponent Modelling in Expert Iteration

Daniel Hernández, Hendrik Baier, Michael Kaisers

Learning Preference Models with Sparse Interactions of Criteria

Margot Herin, Patrice Perny, Nataliya Sokolovska

Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption

Lies Hadjadj, Massih-Reza Amini, Sana Louhichi

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs

Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation

Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang

Adaptive Estimation Q-learning with Uncertainty and Familiarity

Xiaoyu Gong, Shuai Lu, Jiayu Yu, Sheng Zhu, Zongze Li

Modeling with Homophily Driven Heterogeneous Data in Gossip Learning

Abhirup Ghosh, Cecilia Mascolo

Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning

Yi Gao, Miao Xu, Min-ling Zhang

Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning

Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo

Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms

Pratik Gajane, Peter Auer, Ronald Ortner

FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

Xinyu Fu, Irwin King

A Fast Adaptive Randomized PCA Algorithm

Xu Feng, Wenjian Yu

Neural Capacitated Clustering

Jonas K. Falkner, Lars Schmidt-Thieme

Cardinality-Minimal Explanations for Monotonic Neural Networks

Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks

A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering

Thomas Eiter, Tobias Geibinger, Nelson Higuera, Johannes Oetsch

Automatic Truss Design with Reinforcement Learning

Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song

ActUp: Analyzing and Consolidating tSNE and UMAP

Andrew Draganov, Jakob Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective

Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion

Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen

Neuro-Symbolic Class Expression Learning

Caglar Demir, Axel-Cyrille Ngonga Ngomo

Scalable Coupling of Deep Learning with Logical Reasoning

Marianne Defresne, Sophie Barbe, Thomas Schiex

DeepPSL: End-to-End Perception and Reasoning

Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions

Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini

Neuro-Symbolic Learning of Answer Set Programs from Raw Data

Daniel Cunnington, Mark Law, Jorge Lobo, Alessandra Russo

Deep Multi-view Subspace Clustering with Anchor Graph

Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He

Some General Identification Results for Linear Latent Hierarchical Causal Structure

Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai

Graph Propagation Transformer for Graph Representation Learning

Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity

Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu

FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning

Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data

Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang

Incremental and Decremental Optimal Margin Distribution Learning

Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin

Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training

Gang Chen, Victoria Huang

Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss

Yongjuan Che, Yuexuan An, hui xue

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC

Sanjay Chandlekar, Shweta Jain, Sujit Gujar

Lifelong Multi-view Spectral Clustering

Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv

On Approximating Total Variation Distance

Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan

Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?

Ridhima Bector, Hang Xu, Abhay Aradhya, Chai Quek, Zinovi Rabinovich

ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks

Alexandra Baier, Decky Aspandi, Steffen Staab

Scaling Goal-based Exploration via Pruning Proto-goals

Akhil Bagaria, Tom Schaul

HOUDINI: Escaping from Moderately Constrained Saddles

Dmitrii Avdiukhin, Grigory Yaroslavtsev

Computing Abductive Explanations for Boosted Regression Trees

Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis

Learning to Learn from Corrupted Data for Few-Shot Learning

Yuexuan An, Xingyu Zhao, hui xue

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing

Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien

GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration

Carlo Adornetto, Gianluigi Greco

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size

K. Darshana Abeyrathna, Ahmed A. O. Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal

Enhancing Datalog Reasoning with Hypertree Decompositions

Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks

A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram

Ming-Liang Zhang, Fei Yin, Cheng-lin Liu

On the Paradox of Learning to Reason from Data

Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck

Efficient Computation of General Modules for ALC Ontologies

Hui Yang, Patrick Koopmann, Yue Ma, Nicole Bidoit

SAT-Based PAC Learning of Description Logic Concepts

Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz

On Discovering Interesting Combinatorial Integer Sequences

Martin Svatos, Peter Jung, Jan Tóth, Yuyi Wang, Ondrej Kuzelka

A Comparative Study of Ranking Formulas Based on Consistency

Badran Raddaoui, Christian Straßer, Said Jabbour

Relative Inconsistency Measures for Indefinite Databases with Denial Constraints

Francesco Parisi, John Grant

The Parameterized Complexity of Finding Concise Local Explanations

Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider

Shhh! The Logic of Clandestine Operations

Pavel Naumov, Oliver Orejola

Probabilistic Temporal Logic for Reasoning about Bounded Policies

Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan

A Rule-Based Modal View of Causal Reasoning

Emiliano Lorini

Temporal Datalog with Existential Quantification

Matthias Lanzinger, Markus Nissl, Emanuel Sallinger, Przemysław A. Wałęga

Ranking-based Argumentation Semantics Applied to Logical Argumentation

Jesse Heyninck, Badran Raddaoui, Christian Straßer

Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL

Lucía Gómez Álvarez, Sebastian Rudolph, Hannes Strass

Safety Verification and Universal Invariants for Relational Action Bases

Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin

Disentanglement of Latent Representations via Causal Interventions

Gaël Gendron, Michael Witbrock, Gillian Dobbie

Reverse Engineering of Temporal Queries Mediated by LTL Ontologies

Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank Wolter

An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations

Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto

Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation

Johannes K. Fichte, Markus Hecher, Yasir Mahmood, Arne Meier

Treewidth-Aware Complexity for Evaluating Epistemic Logic Programs

Jorge Fandinno, Markus Hecher

Explaining Answer-Set Programs with Abstract Constraint Atoms

Thomas Eiter, Tobias Geibinger

Learning Small Decision Trees with Large Domain

Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider

Parametrized Gradual Semantics Dealing with Varied Degrees of Compensation

Dragan Doder, Leila Amgoud, Srdjan Vesic

Description Logics with Pointwise Circumscription

Federica Di Stefano, Magdalena Ortiz, Mantas Šimkus

On Translations between ML Models for XAI Purposes

Alexis de Colnet, Pierre Marquis