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Accepted Papers: Research Track

Collection 2024

Papers submitted to the journal track at ECML PKDD 2024 and accepted before 15 July 2024.

TitleAuthors
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with TransformersZahra Atashgahi (University of Twente)*; Mykola Pechenizkiy (TU Eindhoven); Raymond Veldhuis (University of Twente); Decebal Constantin Mocanu (University of Luxembourg)
RumorMixer: Exploring Echo Chamber Effect and Platform Heterogeneity for Rumor DetectionHaowei Xu (Northwestern Polytechnical University)*; Chao Gao (Northwestern Polytechnical University ); Xianghua Li (Northwestern Polytechnical University ); Zhen Wang (Northwestern Polytechnical University)
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation LearningAmirhossein Vahidi (Sanger Institute); Lisa Wimmer (University of Munich (LMU)); Hüseyin Anil Gündüz (LMU Munich, MCML); Bernd Bischl (LMU Munich); Eyke Hüllermeier (University of Munich); Mina Rezaei (LMU Munich)*
Modular Debiasing of Latent User Representations in Prototype-based Recommender SystemsAlessandro Melchiorre (Johannes Kepler University Linz)*; Shahed Masoudian (Johannes Kepler University); Deepak Kumar (Johannes Kepler University); Markus Schedl (Johannes Kepler University Linz)
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency RegularizationXiliang Yang (South China University of techonology); Shenyang Deng (South China University of Technology); Shicong Liu (South China University of Technology); Yuanchi Suo (South China University of Technology); Wing W.Y. Ng (South China University of Technology); Jianjun Zhang (South China Agricultural University)*
Attention-Driven Dropout: A Simple Augmentation Method to Improve Self-supervised Contrastive Sentence EmbeddingsFabian Stermann (LMU Munich); Ilias Chalkidis (University of Copenhagen); Amirhossein Vahidi (Sanger Institute); Bernd Bischl (LMU Munich); Mina Rezaei (LMU Munich)*
AEMLO: AutoEncoder-Guided Multi-Label OversamplingAo Zhou (Chongqing University of Posts and Telecommunications); Bin Liu (Chongqing University of Posts and Telecomunications)*; Jin Wang (Chongqing Key Laboratory of Computational Intelligence(Chongqing University of Posts and Telecommunications)); Kaiwei Sun (Chongqing Key Laboratory of Computational Intelligence(Chongqing University of Posts and Telecommunications)); kelin Liu (Chongqing University of Posts and Telecommunications)
MANTRA: Temporal Betweenness Centrality Approximation through SamplingAntonio Cruciani (Gran Sasso Science Institute)*
Dimensionality-induced information loss of outliers in deep neural networksKazuki Uematsu (Toshiba Corporation)*; kosuke haruki (Toshiba); Taiji Suzuki (The University of Tokyo / RIKEN); mitsuhiro kimura (Toshiba); Takahiro Takimoto (Toshiba Corporation); Hideyuki Nakagawa (Toshiba Corporation)
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising ApproachWujiang Xu (Xi'an Jiaotong University)*; Xuying Ning (Xi'an Jiaotong University); Wenfang Lin (Mybank); Mingming Ha (MYbank, Ant Group); QIONGXU MA (MYBANK); Qianqiao Liang (MYbank, Ant Group); Xuewen Tao (Ant Group); Linxun Chen (Mybank); Bing Han (Ant group); Minnan Luo (School of Electronic and Information Engineering, Xi'an Jiaotong University)
MixerFlow: MLP-Mixer meets Normalizing FlowsEshant English (Hasso Plattner Institute, Germany)*; Matthias Kirchler (Hasso Plattner Institute); Christoph Lippert (Hasso Plattner Insitute for Digital Engineering, Universität Potsdam)
Handling delayed feedback in distributed online optimization : A projection-free approachTuan-Anh Nguyen (Université Grenoble Alpes)*; Kim Thang Nguyen (LIG, University Grenoble-Alpes); Denis R Trystram (University Grenoble Alpes)
Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated LearningDashan Gao (Hong Kong University of Science and Technology)*; Canhui Wu (Xi'an Jiaotong university); Xiaojin Zhang (HUST); Xin Yao (Southern University of Science and Technology); Qiang Yang (Hong Kong UST)
Neighborhood Component Feature Selection for Multiple Instance Learning ParadigmGiacomo Turri (Istituto Italiano di Tecnologia); Luca Romeo (Department of Economics and Law, University of Macerata)*
The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language ModelsKostadin Cvejoski (Fraunhofer IAIS)*; Ramses Sanchez (University of Bonn); Cesar A Ojeda (University of Potsdam)
MESS: Coarse-grained Modular Two-way Dialogue Entity Linking Frameworkpengnian qi (Renmin university of China); Zhiyuan Zha (Renmin University of China); Biao Qin (Renmin University of China)*
Session - Target Pair: User Intent Perceiving Networks for Session-based RecommendationTingting Dai (电子科技大学)*; Qiao Liu (University of Electronic Science and Technology of China); Yang Xie (University of Electronic Science and Technology of China); Yue Zeng (University of Electronic Science and Technology of China); Rui Hou (UESTC); Yanglei Gan (University of Electronic Science and Technology of China)
Hierarchical Fine-grained Visual Classification Leveraging Consistent Hierarchical KnowledgeYuting Liu (Tianjin University)*; Liu Yang (Tianjin University); Yu Wang (Tianjin University)
Backdoor Attacks with Input-unique Triggers in NLPXUKUN zhou (Renmin University)*; jiwei li (shannonai); Tianwei Zhang (Nanyang Technological University); Lingjuan Lyu (Sony AI); Muqiao Yang (Carnegie Mellon University); Jun He (Renmin University of China)
Label Privacy Source Coding in Vertical Federated LearningDashan Gao (Hong Kong University of Science and Technology)*; Sheng Wan ( The Hong Kong University of Science and Technology); Hanlin Gu (HKUST); Lixin Fan (WeBank); Xin Yao (Southern University of Science and Technology); Qiang Yang (Hong Kong UST)
Error types in Transformer-based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Datasetauday berro (Université Claude Bernard Lyon 1)*; Boualem Benatallah (Dublin City University); Yacine Gaci (Université Claude Bernard Lyon 1); Khalid Benabdeslem (University lyon 1)
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal DecouplingHongyu Zhang (Harbin Institute of Technology, Shenzhen)*; Dongyi Zheng (sysu); Lin Zhong (Chongqing University); Xu Yang (Harbin lnstitute of Technology, Shenzhen ); Jiyuan Feng (Harbin Institute of Technology, Shenzhen); Yunqing Feng (Shanghai Pudong Development Bank); Qing Liao (Harbin Institute of Technology (Shenzhen))
Data-Agnostic Pivotal Instances Identification for Decision-Making ModelsAlessio Cascione (University of Pisa); Mattia Setzu (University of Pisa); Riccardo Guidotti (University of Pisa)*
CIRCUITVQA: A Visual Question Answering Dataset for Electrical Circuit ImagesRahul Mehta (IIIT Hyderabad); Bhavyajeet Singh (Microsoft )*; Vasudeva Varma (IIIT Hyderabad); Manish Gupta (Microsoft,India)
Disentangled Counterfactual Graph Augmentation Framework for Fair Graph Learning with Information BottleneckLijing Zheng (Xi’an Jiaotong University)*; Jihong Wang (Xi'an Jiaotong University); Huan Liu (Xi’an Jiaotong University); Minnan Luo (School of Electronic and Information Engineering, Xi'an Jiaotong University)
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-valued DataAnis Fradi (université Clermont Auvergne)*; Chafik Samir (CNRS-UCA)
Landscape Analysis of Stochastic Policy Gradient MethodsXingtu Liu (Simon Fraser University)*
Spatiotemporal Covariance Neural NetworksAndrea Cavallo (Delft University of Technology)*; Mohammad Sabbaqi (Delft University of Technology); Elvin Isufi (Tu Delft)
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic ForecastingZhanyu Liu (Shanghai Jiao Tong University); Jianrong Ding (Shanghai Jiao Tong University); Guanjie Zheng (Shanghai Jiao Tong University)*
Simple Graph CondensationZhenbang Xiao (Zhejiang University); Yu Wang (Zhejiang University); Shunyu Liu (Zhejiang University); Huiqiong Wang (Zhejiang University)*; Mingli Song (Zhejiang University); Tongya Zheng (Hangzhou City University)
Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial OptimizationChanglu Chen (UTS)*; Yanbin Liu (Auckland University of Technology); Ling Chen (" University of Technology, Sydney, Australia"); Chengqi Zhang (University of Technology Sydney)
Reliable Classifications with Guaranteed Confidence using the Dempster-Shafer Theory of EvidenceMarie C Kempkes (Volkswagen Group Innovation)*; Vedran Dunjko (Leiden University); Evert van Nieuwenburg (Leiden University); Jakob Spiegelberg (Volkswagen Group Innovation)
On the robustness of global feature effect explanationsHubert Baniecki (University of Warsaw)*; Giuseppe Casalicchio (Ludwig-Maximilians-Universität München); Bernd Bischl (LMU Munich); Przemyslaw Biecek (Warsaw University of Technology)
Federated Learning with Flexible ArchitecturesJong-Ik Park (Carnegie Mellon University)*; Carlee Joe-Wong (Carnegie Mellon University)
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generationyongkang liu (Northeastern University)*; Ercong Nie (Ludwig-Maximilians-Univeristät München); Shi Feng (Northeastern University); Zheng Hua (Ludwig-Maximilians-Univeristät München); Zifeng Ding (LMU Munich); Daling Wang (Northeastern University); Yifei Zhang ( Northeastern University); Hinrich Schuetze (University of Munich (LMU))
Improving Diversity in Black-box Few-shot Knowledge DistillationNhan Vo (Deakin University)*; Dang Nguyen (Deakin University); Kien Duc Do (Deakin Unviersity); Sunil Gupta (Deakin University, Australia)
Self-Pro: Self-Prompt and Tuning Framework for Graph Neural NetworksChengHua Gong (East China Normal University); Xiang Li (East China Normal University)*; Jianxiang Yu (East China Normal University); Yao Cheng (East China Normal University); Jiaqi Tan (East China Normal University); Chengcheng Yu (Shanghai Polytechnic University)
Variable-Agnostic Causal Exploration for Reinforcement LearningMinh Hoang Nguyen (Deakin University )*; Hung Le (Deakin University); Svetha Venkatesh (Deakin University)
LayerGLAT: a Flexible Non-Autoregressive Transformer for Single-Pass and Multi-Pass PredictionShijie Li (University of Technology Sydney)*; Inigo Jauregi Unanue (University of Technology Sydney); MASSIMO PICCARDI (University of Technology Sydney, Australia)
Generative Modeling with Flow-Guided Density Ratio LearningAlvin Heng (National University of Singapore)*; Abdul Fatir Ansari (National University of Singapore); Harold Soh (National University of Singapore)
ADR: An Adversarial Approach to Learn Decomposed Representations for Causal InferenceXiangyu Zheng (JD.com, Inc. )*; Guogang Tian (JD.com, Inc. ); Sen Wang (ID.com); Zhixiang Huang (JD.com)
Data is Moody: Discovering Data Modification Rules from Process Event LogsMarco B Schuster (Airbus Operations GmbH)*; Boris Wiegand (SHS - Stahl-Holding-Saar GmbH & Co. KGaA); Jilles Vreeken (CISPA Helmholtz Center for Information Security)
A deep cut into Split Federated Self-Supervised LearningMarcin Przewięźlikowski (Jagiellonian University)*; Marcin Osial (Jagiellonian University); Bartosz Zieliński (Jagiellonian University); Marek Smieja (Jagiellonian University)
Self-certified Tuple-wise Deep LearningSijia Zhou (University of Birmingham)*; Yunwen Lei (The University of Hong Kong); Ata Kaban (University of Birmingham)
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization EvaluationKoren Abitbul (Ben-Gurion University)*; Yehuda Dar (Ben-Gurion University)
Continual Neural ComputationMatteo Tiezzi (University of Siena)*; Simone Marullo (University of Siena); Federico Becattini (Università di Firenze); Stefano Melacci (University of Siena)
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural NetworksDat Trong Phan (Deakin University)*; Hung The Tran (Deakin University); Alistair Shilton (Deakin University); Sunil Gupta (Deakin University, Australia)
Enhancing Sharpness-Aware Minimization by Learning Perturbation RadiusXuehao Wang (Southern University of Science and Technology)*; Weisen Jiang (The Hong Kong University of Science and Technology); Shuai Fu (Southern University of Science and Technology); Yu Zhang (Southern University of Science and Technology)
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel ImagesWenxi Li (Shanghai Jiao Tong University)*; Ruxin Zhang (Tsinghua Shenzhen International Graduate School, Tsinghua University); Haozhe Lin (Tsinghua University); Yuchen Guo (Tsinghua University); Chao Ma (Shanghai Jiao Tong University); Xiaokang Yang (Shanghai Jiao Tong University of China)
Physics-Informed Spatio-Temporal Model for Human Mobility PredictionQuanyan Gao (Zhejiang University); Chao Li (Zhejiang University)*; Qinmin Yang (Zhejiang University)
Adaptive Seasonal-Trend Decomposition for Streaming Time Series Data with Transitions and Fluctuations in SeasonalityThanapol Phungtua-eng (Shizuoka University)*; Yoshitaka Yamamoto
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled ConsistencyJingxuan Wei (Shenyang institute of computing technology, Chinese academy of sciences; University of Chinese Academy of Sciences)*; Cheng Tan (Zhejiang University & Westlake University); Zhangyang Gao (westlake university); Linzhuang Sun (Shenyang institute of computing technology, Chinese academy of sciences; University of Chinese Academy of Sciences); BiHui Yu (Shenyang institute of computing technology, Chinese academy of sciences); Ruifeng Guo (Shenyang institute of computing technology, Chinese academy of sciences); Stan Z. Li (Westlake University)
Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and EfficiencyXu Liu (National University of Singapore)*; Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)); Chao Huang (University of Hong Kong); Hengchang Hu (National University of Singapore); Yushi Cao (Nanyang Technological University); Bryan Hooi (National University of Singapore); Roger Zimmermann (NUS)
Direct-Effect Risk Minimization for Domain GeneralizationYuhui Li (Peking University)*; Zejia Wu (University of California, San Diego); Chao Zhang (Peking University); Hongyang Zhang (University of Waterloo)
Federated Frank-Wolfe AlgorithmAli Dadras (Umeå University)*; Sourasekhar Banerjee (umea university); Karthik Prakhya (Umeå Universitet); Alp Yurtsever (Umeå University)
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised LearningYunhui Liu (Nanjing University); Huaisong Zhang (Fudan University); Tieke He (Nanjing University)*; Tao Zheng (Nanjing University); Jianhua Zhao (Nanjing University)
Deep Sketched Output Kernel Regression for Structured PredictionTamim EL AHMAD (Télécom Paris)*; Junjie Yang (Télécom Paris); Pierre Laforgue (Università degli Studi di Milano); Florence d'Alché-Buc (Télécom Paris)
Hyperbolic Delaunay Geometric AlignmentAniss Aiman Medbouhi (KTH Royal Institute of Technology)*; Giovanni Luca Marchetti (KTH Royal Institute of Technology); Vladislav Polianskii (KTH Royal Institute of Technology); Alexander Kravberg (KTH Royal Institute of Technology); Petra Poklukar (KTH Royal Institute of Technology); Anastasiia Varava (KTH); Danica Kragic (KTH Royal Institute of Technology)
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-LabellingCassio F. Dantas (TETIS, INRAE, Univ Montpellier)*; Raffaele Gaetano (CIRAD); Dino Ienco (INRAE)
ApmNet: Toward Generalizable Visual Continuous Control with Pre-Trained Image ModelsHaitao Wang (School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China)*; Hejun Wu (School of Computer Science and Engineering, SUN YAT-SEN UNIVERSITY)
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental LearningPengxiang Wang (Peking University)*; Hongbo Bo (Newcastle University); Jun Hong (University of the West of England); Weiru Liu (University of Bristol); Kedian Mu (Peking University)
Probabilistic Circuits with Constraints via Convex OptimizationSoroush Ghandi (Eindhoven University of Technology)*; Benjamin Quost (Université de Technologie de Compiègne); Cassio de Campos (TU Eindhoven)
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and RectificationChutian Jiang (Florida State University)*; Hansong Zhou (Florida State University); Xiaonan Zhang (Florida State University); Shayok Chakraborty (Florida State University, USA)
Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language ModelsYongchao Wu (Stockholm University)*; Aron Henriksson (Stockholm University)
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial InterferenceSahara Ali (University of Maryland, Baltimore County)*; Omar Faruque (University of Maryland, Baltimore County); Jianwu Wang (University of Maryland, Baltimore County)
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDEJiaxu Liu (University of Liverpool)*; Xinping Yi (Southeast University); Sihao Wu (University of Liverpool); Xiangyu Yin (University of Liverpool); Tianle Zhang (University of Liverpool); Xiaowei Huang (Liverpool University); Jin Shi ( Southeast University)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph TrainingXizhi Gu (Beijing University of Posts and Telecommunications); Hongzheng Li (Beijing University of Posts and Telecommunications); Shihong Gao (The Hong Kong University of Science and Technology); Xinyan Zhang (Beijing University of Posts and Telecommunications); Lei Chen (Hong Kong University of Science and Technology); Yingxia Shao (BUPT)*
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area SegmentationQing En (Carleton University); Yuhong Guo (Carleton University)*
Diffusion model in Normal Gathering Latent Space for Time Series Anomaly DetectionJiashu Han (Harbin Institute of Technology)*; Shanshan Feng (Centre for Frontier AI Research, A*STAR); Min Zhou (Huawei Technologies co. ltd); Xinyu Zhang (Harbin Institute of Technology Shenzhen); Xutao Li (Harbin Institute of Technology Shenzhen Graduate School); Yew Soon Ong (Nanyang Technological University, Nanyang View, Singapore)
Permutation Dependent Feature Mixing in TSMixer for Multivariate Time Series Forecastingrikuto yamazono (Wakayama University)*; Hirotaka Hachiya (Graduate School of System Engineering, Wakayama University)
Prior Bilinear-based Models for Knowledge Graph CompletionJiayi Li (Tsinghua University); Ruilin Luo (Tsinghua University)*; Jiaqi Sun (Carnegie Mellon Uiversity); Jing Xiao (Ping An Insurance (Group) Company of China); Yujiu Yang (Tsinghua University)
Thinking Like an Author: A Zero-shot Learning Approach to Keyphrase Generation with Large Language ModelSiyu Wang (Gusu Laboratory of Materials)*; Shengran Dai (Gusu Laboratory of Materials); Jianhui Jiang (Gusu Laboratory of Materials)
Molecular Graph Representation Learning via Structural Similarity InformationChengyu Yao (University of Chinese Academy of Sciences,Institute of Software Chinese Academy of Sciences); Hong Huang (State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences); Hang Gao (Institute of Software Chinese Academy of Sciences ); Fengge Wu (Institute of Software Chinese Academy of Sciences)*; Haiming Chen (State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences); Junsuo Zhao (Science and Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences)
Efficient Privacy-preserving Truth Discovery and Copy Detection in CrowdsourcingXiu FANG (Donghua University); Xinyang Du (Donghua University)*; Hao Chen (Donghua University); Ziqi Wei (Institute of Automation, CAS); Guohao Sun (Donghua university); yong zhan (linkingfresh.LTD)
FCFL: A Fairness Compensation-based Federated Learning Scheme with Accumulated QueuesLingfu Wang (University of Electronic Science and Technology of China); Zuobin Xiong (University of Nevada, Las Vegas); Guangchun Luo (University of Electronic Science and Technology of China); Wei Li (Georgia State University); Aiguo Chen (University of Electronic Science and Technology of China)*
MMDL-based Data Augmentation with Domain Knowledge for Time Series ClassificationXiaosheng Li (Ant Group); Yifan Wu (Peking University)*; Wei Jiang (Ant Group); Ying Li (Peking University); Jianguo Li (Ant Group)
FALCUN: A Simple and Efficient Deep Active Learning StrategySandra Gilhuber (Ludwig-Maximilians-Universität München)*; Anna Beer (University of Vienna); Yunpu Ma (Ludwig-Maximilians-Universität München); Thomas Seidl (LMU Munich)
Model Fusion via Neuron TransplantationMuhammed Öz (Karlsruhe Institute of Technology)*; Nicholas Kiefer ( Karlsruhe Institute of Technology); Charlotte Debus (Karlsruhe Institute of Technology); Jasmin Hörter (Karlsruhe Institute for Technology (KIT)); Achim Streit (Karlsruhe Institute for Technology); Markus Götz (Karlsruhe Institute of Technology (KIT))
Cut-Stitch: a Simple and Effective Data Augmentation Method for Industrial InspectionHaigen Hu (Zhejiang University of Technology)*; Jingshan Hong (Zhejiang University of Technology); Kangkang Song (Ningbo Institute of Materials Technology&Engineering,Chinese Academy of Sciences); Jinwei Zhu (Hangzhou Lufu Intelligent Technology Co., Ltd); Weilun Ren (Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences)
Compressed Federated Reinforcement Learning with a Generative ModelAli Beikmohammadi (Stockholm University)*; Sarit Khirirat (King Abdullah University of Science and Technology (KAUST)); Sindri Magnusson (Stockholm University)
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning DynamicsHendrik Borras (Heidelberg University)*; Bernhard Klein (Heidelberg University); Holger Froening (University of Heidelberg)
KAFÈ: Kernel Aggregation for FEderatedPian Qi (Università degli Studi di Napoli Federico II); Diletta Chiaro (Università degli Studi di Napoli Federico II)*; Fabio Giampaolo (University of Naples Federico II); Francesco Piccialli
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation PerformanceGuoqiang Zhang (University of Technology Sydney)*
Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph CompletionMei Yu (Tianjin University); Yilin Zuo (Tianjin University)*; Wenbin Zhang (Tianjin university); Mankun Zhao (Tianjin University); Tianyi Xu (Tianjin University); Yue Zhao (Tianjin university); Jiujiang Guo (Tianjin university); Jian Yu (Tianjin University)
Robust distilled learning for Open Domain Spoken Language Understanding: Leveraging Noisy Teacher and Consistency Guided Studentscheng chen (university of technology sydney)*; Bowen Xing (University of Technology Sydney); Ivor Tsang (A*STAR CFAR)
The Price of Labelling: A Two-Phase Federated Self-Learning ApproachTAHANI ABED ALADWANI (University of Glasgow); Shameem Puthiya Parambath (University of Glasgow); Christos Anagnostopoulos (University of Glasgow)*; Fani Deligianni (University of Glasgow)
Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge TransferZhaopeng Xu (Peking University)*; Qi Qin (Peking University); Bing Liu (UIC); Dongyan Zhao (Peking Univeristy)
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual LossMohammed Fellaji (CentraleSupélec - LORIA)*; Frédéric Pennerath (CentraleSupélec - LORIA); Brieuc CONAN-GUEZ (LORIA); Miguel Couceiro (LORIA)
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series ClassificationDavide Italo DI Serramazza (University College Dublin)*; Thach Le Nguyen (University College Dublin); Georgiana Ifrim (University College Dublin)
Novel Node Category Detection Under Subpopulation ShiftHsing-Huan Chung (The University of Texas at Austin)*; Shravan S Chaudhari (Johns Hopkins University); Yoav Wald (New York University); Xing Han (The University of Texas at Austin); Joydeep Ghosh (UT Austin)
SynODC: Utilizing the Syntactic Structure for Outlier Detection in Categorical AttributesArthur Zylinski (Utrecht University); Abdulhakim Qahtan (Utrecht University)*
FELIX: Automatic and Interpretable Feature Engineering Using LLMsSimon Malberg (Technical University of Munich)*; Edoardo Mosca (Technical University of Munich); Georg Groh (Technical University of Munich)
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingChristian Klötergens (Information Science and Machine Learning Lab University of Hildesheim)*; Vijaya Yalavarthi (Information Systems and Machine Learning Lab, University of Hildesheim); Maximilian Stubbemann (Information Systems and Machine Learning Lab, University of Hildesheim); Lars Schmidt-Thieme (Universität Hildesheim)
Harnessing Superclasses for Learning from Hierarchical DatabasesNicolas Urbani (Heudiasyc UMR 7253)*; Sylvain Rousseau (UTC); Yves Grandvalet (CNRS / UTC); Leonardo Tanzi (Politecnico di Torino)
Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNsBenjamin Girault (Inria)*; Rémi Emonet (Unversité Saint-Etienne); Jordan Frecon (Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Inria, Laboratoire Hubert Curien); Amaury Habrard (University of St-Etienne, Lab. H. Curien); Marc Sebban (Jean Monnet University)
A Theoretically Grounded Extension of Universal Attacks from the Attacker's ViewpointJordan Frecon (Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Inria, Laboratoire Hubert Curien)*; Paul Viallard (INRIA Rennes); Emilie Morvant (University Jean Monnet, St-Etienne); Amaury Habrard (University of St-Etienne, Lab. H. Curien); Gilles Gasso (INSA Rouen); Stéphane Canu (INSA Rouen Normandie)
Linear Modeling of the Adversarial Noise SpaceJordan Frecon (Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Inria, Laboratoire Hubert Curien)*; Lucas Anquetil (Insa Rouen); YUAN LIU (INSA-ROUEN); Gilles Gasso (INSA Rouen); Stéphane Canu (INSA Rouen Normandie)
Classifier-free graph diffusion for molecular property targetingMatteo Ninniri (University of Pisa)*; Marco Podda (University of Pisa); Davide Bacciu (Univeristy of Pisa)
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance PropagationPaulo Yanez Sarmiento (Hasso Plattner Institute)*; Simon Witzke (Hasso Plattner Institute); Nadja Klein (Trustworthy Data Science and Security (UA Ruhr) Department of Statistics (Technische Universität Dortmund)); Bernhard Renard (Hasso Plattner Institute)
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3DDmitrii Zhemchuzhnikov (Universite Grenoble Alpes)*; Sergei Grudinin (LJK CNRS, Universite Grenoble Alpes)
Deep Domain Isolation and Sample Clustered Federated Learning for semantic segmentationMatthis Manthe (CREATIS - LIRIS)*; Carole Lartizien (CREATIS); Stefan Duffner (University of Lyon)
Learning Model Agnostic Explanations via Constraint ProgrammingFrederic Koriche (Univ. d'Artois, CRIL CNRS UMR 8188)*; Jean-Marie Lagniez (CNRS CRIL); Stefan Mengel (CNRS CRIL); Chi Tran (CNRS CRIL)
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual AwarenessLars Hillebrand (Fraunhofer IAIS and University of Bonn)*; Prabhupad Pradhan (Fraunhofer IAIS); Christian Bauckhage (Fraunhofer IAIS); Rafet Sifa (Fraunhofer IAIS)
Fair densest subgraph across multiple graphsChamalee Nisanala Wickrama Arachchi (University of Helsinki)*; Nikolaj Tatti (Helsinki University)
Wiser than the Wisest of Crowds: The Asch Effect and Polarization RevisitedDragos Ristache (Boston University)*; Fabian C Spaeh (Boston University); Charalampos Tsourakakis (Boston University )
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer VisionWiem Ben Rim (NEC Laboratories Europe); Ammar Shaker (NEC Laboratories Europe)*; Zhao Xu (NEC Laboratories Europe); Kiril Gashteovski (NEC Laboratories Europe); Bhushan Kotnis (NEC Laboratories Europe Gmbh); Carolin Lawrence (NEC Laboratories Europe); Jürgen Quittek (NEC Laboratories Europe GmbH); Sascha Saralajew (NEC Laboratories Europe GmbH)
Leveraging Plasticity in Incremental Decision TreesMarco Heyden (Karlsruhe Institute of Technology)*; Heitor M Gomes (Victoria University of Wellington); Edouard Fouché (Karlsruhe Institute of Technology (KIT)); Bernhard Pfahringer (University of Waikato); Klemens Böhm (Karlsruhe Institute of Technology (KIT))
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew ResilienceHuynh T Trung (Griffith University); Bang Nguyen Trong (Hanoi University of Science and Technology); Phi Le Nguyen (Hanoi University of Science and Technology)*; Thanh Tam Nguyen (Griffith University); Matthias Weidlich (Humboldt-Universität zu Berlin); Quoc Viet Hung Nguyen (Griffith University); Karl Aberer (EPFL)
Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural NetworksAmrit Nagarajan (Purdue University)*; Anand Raghunathan (Purdue)
Individual Fairness with Group Awareness under UncertaintyZichong Wang (Florida International University)*; Jocelyn T Dzuong (Florida International University); Xiaoyong Yuan (Clemson University); Zhong Chen (Southern Illinois University); Yanzhao Wu (Florida International University); Xin Yao (Southern University of Science and Technology); Wenbin Zhang (Florida International University)
Generalizing Reward Modeling for Out-of-Distribution Preference LearningChen Jia (SI-TECH Information Technology)*
FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity ScenariosHaizhou Du (Shanghai University of Electric Power)*; Zhiyuan Yang (Shanghai University of Electric Power)
Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture HawkesPio Gabrielle B Calderon (University of Technology Sydney)*; Marian-Andrei Rizoiu (University of Technology Sydney)
Disagreement Evaluation of Solutions for Math Word ProblemYehui Xu (Yunnan University); Xuejie Zhang (Yunnan University); Jin Wang (Yunnan University); Xiaobing Zhou (Yunnan University)*
Co-attention and Contrastive Learning Driven Knowledge TracingNing Zheng (South China Normal University); Zhilong SHAN (South China Normal University)*
TiNID: A Transfer and Interpretable LLM-enhanced Framework for New Intent DiscoveryShun Zhang (Beihang University)*; Chaoran Yan (Beihang University); Jian Yang (Alibaba DAMO Academy); wei zhang (Beihang University); Changyu Ren (Beihang University); Tongliang Li (Beihang University); Jiaqi Bai (Beihang University); Zhoujun Li (Beihang University)
Memory-enhanced Emotional Support Conversations with Motivation-driven Strategy InferenceHao Wang (Northwestern Polytechnical University); Bin Guo (Northwestern Polytechnical University)*; Mengqi Chen (Northwestern Polytechnical University); Yasan Ding (Northwestern Polytechnical University); Qiuyun Zhang (Northwestern Polytechnical University); Ying Zhang (Northwestern Polytechnical University); Zhiwen Yu (Northwestern Polytechnical University)
Semi-Automated Construction of Complex Knowledge Base Question Answering Dataset using Large Language ModelLily Hoang (Agency for Science, Technology and Research, ASTAR, Singapore); Fiona Liausvia (Agency for Science, Technology and Research, A*STAR, Singapore); Yan Liu (Nanyang Technological University, Singapore); Thanh-Son Nguyen (Agency for Science, Technology and Research, A*STAR, Singapore)
Graphical Model-Based Lasso for Weakly Dependent Time Series of TensorsDorcas Ofori-Boateng (Portland State University)*; Jaidev Goel (The University Of Texas at Dallas); Yulia R. Gel (The University of Texas at Dallas); Ivor Cribben (University of Alberta)
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced SamplesAo Zhou (Chongqing University of Posts and Telecommunications); Bin Liu (Chongqing University of Posts and Telecomunications)*; zhaoyang peng (Chongqing University of Posts and Telecommunications); Jin Wang (Chongqing Key Laboratory of Computational Intelligence(Chongqing University of Posts and Telecommunications)); Grigorios Tsoumakas (Aristotle University of Thessaloniki)
Quantification over TimeFeiyu Li (University of New South Wales)*; Hassan Habibi Gharakheili (University of New South Wales); Gustavo Batista ( UNSW)
Approximating the Graph Edit Distance with Compact Neighborhood RepresentationsFranka Bause (University of Vienna)*; Christian Permann (University of Vienna); Nils M Kriege (University of Vienna)
Online $\mathrm{L}^{\natural}$-Convex MinimizationKen Yokoyama (Kyushu University)*; Shinji Ito (The University of Tokyo /NEC Corporation (affiliation upon submission)/ RIKEN AIP); Tatsuya Matsuoka (NEC Corporation); Kei Kimura (Kyushu University); Makoto Yokoo (Kyushu University, Japan)
Preserving real-world robustness of neural networks under sparsity constraintsJasmin Viktoria Gritsch (Graz University of Technology); Robert Legenstein (Graz University of Technology); Ozan Özdenizci (Graz University of Technology)*
LTCR: Long Temporal Characteristic Reconstruction for Segmentation in Contrastive LearningYang He (Zhejiang University)*; Yuhan Wu (Zhejiang University); Junru Zhang (Zhejiang University); Yabo Dong (Zhejiang University)
LATuner: An LLM-enhanced Database Tuning System based on Adaptive Surrogate ModelChongJiong Fan (South China University of Technology); Zhicheng Pan (East China Normal University); Wenwen Sun (East China Normal University); Chengcheng Yang (East China Normal University); Wei-Neng Chen (South China University of Technology)*
Improving Meta-learning for Few-shot Text Classification via Label PropagationHaorui Li (University of Electronic Science and Technology of China); Jie Shao (University of Electronic Science and Technology of China); Xiangqiang Zeng (University of Electronic Science and Technology of China); Hui Xu (University of Electronic Science and Technology of China)*
Zero-cost Transition to Multi-Document Processing in Summarization with Multi-Channel AttentionMinh-Quang Nguyen (VNU University of Engineering and technology)*; Duy-Cat Can (VNU University of Engineering and Technology); Hoang-Quynh Le (University of Engineering and Technology)
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural NetworksQingqing Ge (East China Normal University); Zeyuan Zhao (East China Normal University); Yiding Liu (Baidu Inc.); Anfeng Cheng (Baidu Inc.); Xiang Li (East China Normal University)*; Shuaiqiang Wang (Baidu Inc.); Dawei Yin (Baidu)
Rejection Ensembles with Online CalibrationSebastian Buschjäger (TU Dortmund Artificial Intelligence Unit)*
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportEduardo F Montesuma (Université Paris-Saclay)*; NGOLE MBOULA Fred Maurice (Commissariat à l'énergie atomique (CEA)); Antoine Souloumiac (CEA)
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question AnsweringBoci Peng (Peking University)*; Yongchao Liu (Ant Group); Xiaohe Bo (Beijing Normal University); Sheng Tian (Ant Group); Baokun Wang (Ant Group); Chuntao Hong (Ant Group); Yan Zhang (Peking University)
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level AwarenessZeyuan Zhao (East China Normal University); Qingqing Ge (East China Normal University); Anfeng Cheng (Baidu Inc.); Yiding Liu (Baidu Inc.); Xiang Li (East China Normal University)*; Shuaiqiang Wang (Baidu Inc.)
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance AnalysisPaolo Bonetti (Politecnico di Milano)*; Alberto Maria Metelli (Politecnico di Milano); Marcello Restelli (Politecnico di Milano)
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' DepthVictor Quetu (Télécom Paris - Institut Polytechnique de Paris)*; Zhu LIAO (Télécom Paris - Institut Polytechnique de Paris); Enzo Tartaglione (Télécom Paris - Institut Polytechnique de Paris)
Towards Few-shot Self-explaining Graph Neural NetworksJingyu Peng (University of Science and Technology of China)*; Qi Liu (" University of Science and Technology of China, China"); Linan Yue (University of Science and Technology of China); ZAIXI ZHANG (University of Science and Technology of China); Kai Zhang (University of Science and Technology of China); Yunhao Sha (University of Science and Technology of China)
Uplift Modeling under Limited SupervisionGeorge Panagopoulos (University of Luxembourg)*; Daniele Malitesta (CentraleSupélec, Université Paris-Saclay); Fragkiskos Malliaros (CentraleSupelec); Jun Pang (University of Luxembourg)
Self-supervised Temporal and Spatial Normality Learning for Time Series Anomaly DetectionYutong Chen (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences)*; Hongzuo Xu (Intelligent Game and Decision Lab (IGDL)); Guansong Pang (Singapore Management University); Hezhe Qiao (Singapore Managment University); Yuan Zhou (Artificial Intelligence Research Center, DII); Mingsheng Shang (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences)
Modeling Text-Label Alignment for Hierarchical Text ClassificationAshish Kumar (Indian Institute of Technology Roorkee)*; Durga Toshniwal (IIT Roorkee)
Secure Aggregation is Not Private Against Membership Inference AttacksKhac-Hoang Ngo (Chalmers University of Technology)*; Johan Östman (AI Sweden); Giuseppe Durisi (Chalmers University of Technology); Alexandre Graell i Amat (Chalmers University of Technology)
Evaluating Negation with Multi-way Joins Accelerates Class Expression LearningNikolaos Karalis (DICE Group, Department of Computer Science, Paderborn University)*; Alexander Bigerl (DICE Group, CS Department, Paderborn University); Caglar Demir (Paderborn University); Liss Heidrich (DICE Group, Department of Computer Science, Paderborn University); Axel Ngonga (University of Paderborn)
LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-Gaussian Structural Equation ModelHirofumi Suzuki (Fujitsu Limited)*
Enhanced Bayesian Optimization via Preferential Modeling of Abstract PropertiesArun Kumar Anjanapura Venkatesh (Deakin University)*; Alistair Shilton (Deakin University); Sunil Gupta (Deakin University, Australia); Santu Rana (Deakin University, Australia); Stewart E Greenhill (Deakin University); Svetha Venkatesh (Deakin University)
Hierarchical Graph Contrastive Learning for Review-enhanced RecommendationChangsheng Shui (中国海洋大学); Xiang Li (Ocean University of China); Jianpeng Qi (Ocean University of China ); Guiyuan Jiang (Ocean University of China); Yanwei Yu (Ocean University of China)*
Enhancing LLM's Reliability by Iterative Verification Attributions with Keyword FrontingYize Sui (National University of Defense Technology)*; Ji Wang (National University of Defense Technology); Jing Ren (NUDT); Huibin Tan (National University of Defense Technology); huan chen (National University of Defense Technology); Zhaoye Li (National University of Defense Technology)
Reconstructing the Unseen: Attributed Graph Imputation with Optimal TransportRichard Serrano (Laboratoire Hubert Curien)*; Baptiste Jeudy; Christine Largeron (LabHC Lyon University); Charlotte Laclau (Polytechnique Institute, Télécom Paris)
Introducing Total Harmonic Resistance for Graph Robustness under Edge DeletionsLukas Berner (Humboldt-Universität zu Berlin)*; Henning Meyerhenke (Humboldt-Universität zu Berlin)
Counterfactual-based Root Cause Analysis for Dynamical SystemsJuliane Weilbach (Robert Bosch GmbH)*; Sebastian Gerwinn (Bosch Center for Artificial Intelligence); Karim Said Said Barsim (Bosch Center for Artificial Intelligence); Martin Fraenzle (Carl von Ossietzky Universität Oldenburg)
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential FamiliesBenedikt Lütke Schwienhorst (Mathematical Statistics and Stochastic Processes, Department of Mathematics, University of Hamburg)*; Lucas Kock (Technische Universität Dortmund); Nadja Klein (Trustworthy Data Science and Security (UA Ruhr) Department of Statistics (Technische Universität Dortmund)); David Nott (National University of Singapore)
GLADformer: A Mixed Perspective for Graph-level Anomaly DetectionFan mark Xu (University of Science and Technology of China)*; Nan Wang (Beijing Jiaotong University); Hao Wu (university of science and technology of science); Xuezhi Wen (Beijing Jiaotong University); Dalin Zhang (Beijing Jiaotong University); siyang lu (Beijing jiaotong university); Binyong Li (Advanced Cryptography and System Security Key Laboratory of Sichuan Province); Wei Gong (University of Science and Technology of China); Hai Wan (Tsinghua University); Xibin Zhao (Tsinghua University)
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction PredictionBin Liu (Chongqing University of Posts and Telecomunications); Wu Siqi (Chongqing University of Posts and Telecommunications); Jin Wang (Chongqing Key Laboratory of Computational Intelligence(Chongqing University of Posts and Telecommunications))*; Xin Deng (Chongqing Key Laboratory of Computational Intelligence(Chongqing University of Posts and Telecommunications)); Ao Zhou (Chongqing University of Posts and Telecommunications)
On the Two Sides of Redundancy in Graph Neural NetworksFranka Bause (University of Vienna)*; Samir Moustafa (University of Vienna); Johannes Langguth (Simula Research Laboratory); Wilfried Gansterer (Universität Wien); Nils M Kriege (University of Vienna)
Linear Contextual Bandits with Hybrid Payoff: RevisitedNirjhar Das (Microsoft Research)*; Gaurav Sinha (Microsoft Research)
Policy Control with Delayed, Aggregate, and Anonmyous FeedbackGuilherme Dinis Junior (Stockholm University)*; Sindri Magnusson (Stockholm University); Jaakko Hollmen
DiffVersify: a scalable approach to differentiable pattern mining with coverage regularizationThibaut Chataing (Liris); Julien Perez (EPITA, France); Marc Plantevit (EPITA, France); Celine Robardet (INSA Lyon, France)*
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering AlgorithmsPhilipp Jahn (LMU Munich)*; Christian M.M. Frey (Fraunhofer IIS); Anna Beer (University of Vienna); Collin Leiber (LMU Munich); Thomas Seidl (LMU Munich)
Model-Based Reinforcement Learning with Multi-Task Offline PretrainingMinting Pan (Shanghai Jiao Tong University); Yiitao Zheng (Shanghai Jiao Tong University); Yunbo Wang (Shanghai Jiao Tong University)*; Xiaokang Yang (Shanghai Jiao Tong University of China)
Advancing Graph Counterfactual Fairness through Fair Disentangled RepresentationZichong Wang (Florida International University)*; Zhibo Chu (University of Science and Technology of China); Ronald Blanco (Florida International University); Zhong Chen (Southern Illinois University); Shu-Ching Chen (University of Missouri-Kansas City); Wenbin Zhang (Florida International University)
Continuously deep recurrent neural networksAndrea Ceni (University of Pisa)*; Peter Ford Dominey (INSERM); Claudio Gallicchio (University of Pisa); Alessio Micheli (University of Pisa); Luca Pedrelli (Università di Pisa); Domenico Tortorella (University of Pisa)
Dynamics Adaptive Safe Reinforcement Learning with a Misspecified SimulatorRuiqi Xue (Nanjing University); Ziqian Zhang (Nanjing University); Lihe Li (Nanjing University); Feng Chen (Nanjing University); Yi-Chen Li (Nanjing University); Yang Yu (Nanjing University); Lei Yuan (Nanjing University)*
Improved Topology Features for Node Classification on Heterophilic GraphsYurui Lai (ShanghaiTech University)*; taiyan Zhang (ShanghaiTech); Rui Fan (ShanghaiTech University)
Fast Redescription Mining Using Locality-Sensitive HashingMaiju Karjalainen (University of Eastern Finland)*; Esther Galbrun (University of Eastern Finland); Pauli Miettinen (University of Eastern Finland)
σ-GPTs: A New Approach to Autoregressive ModelsArnaud Pannatier (Idiap Research Institute)*; Evann Courdier (Idiap Research Institute); François Fleuret (University of Geneva)
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation for NLPEwoenam Kwaku Tokpo (University of Antwerp)*; Toon Calders (Universiteit Antwerpen)
GrINd: Grid Interpolation Network for Scattered ObservationsAndrzej Dulny (University of Würzburg)*; Paul Heinisch (University of Wuerzburg); Andreas Hotho (University of Wuerzburg); Anna Krause (University of Würzburg)
MEGA: Multi-Encoder GNN Architecture for stronger task collaboration and generalizationFaraz Khoshbakhtian (University of Toronto)*; Gaurav Oberoi (Mastercard ); Dionne Aleman (University of Toronto); Siddhartha Asthana (Mastercard)
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural NetworksMatthias König (Leiden University)*; Xiyue Zhang (University of Oxford); Holger Hoos (RWTH Aachen University); Marta Kwiatkowska (Oxford University); Jan N. Van Rijn (Leiden University)
MetaQuRe: Meta-Learning from Model Quality and Resource ConsumptionRaphael Fischer (TU Dortmund University)*; Marcel Wever (LMU Munich); Sebastian Buschjäger (TU Dortmund Artificial Intelligence Unit); Thomas Liebig (TU Dortmund Artificial Intelligence Unit )
Semantic-Propagation Structure Transfer Learning for Robust Fake News DetectionMengyang Chen (Institute of Information Engineering,Chinese Academy of Sciences); Lingwei Wei (Institute of Information Engineering,Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences)*; Han Cao (Institute of Information Engineering,Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences); Wei Zhou (Institute of Information Engineering, School of Cyber Security, University of Chinese Academy of Sciences); yan zhou (State Key Laboratory of Communication Content Cognition,People's Daily Online); Songlin Hu (Institute of Information Engineering,Chinese Academy of Sciences)
Exploring Contrastive Learning for Long-Tailed Multi-Label Text ClassificationAUDIBERT AA Alexandre (Grenoble Computer Laboratory)*; Aurelien Gauffre (Laboratoire d'Informatique de Grenoble); Massih-Reza Amini (Univ. Grenoble Alpes)
Simultaneous linear connectivity of neural networks modulo permutationEkansh Sharma (University of Toronto)*; Devin Kwok (Mila); Tom Denton (Google); Daniel Roy (U of T); David Rolnick (McGill University, Mila); Gintare Karolina Dziugaite (Google Research)
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution EncodingZhiqiang ZHONG (Aarhus University)*; Davide Mottin (Aarhus University)
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationDenis Huseljic (University of Kassel)*; Paul Hahn (University of Kassel); Marek Herde (University of Kassel); Lukas Rauch (University of Kassel); Bernhard Sick (University of Kassel)
Understanding Domain-Size Generalization in Markov Logic NetworksFlorian Chen (TU Wien); Felix Q Weitkämper (LMU München); Sagar Malhotra (TU Wien)*
Retrieval-Augmented Mining of Temporal Logic Specifications from DataGaia Saveri (University of Pisa)*; Luca Bortolussi (University of Trieste)
Interpretable and Fair Mechanisms for Abstaining ClassifiersDaphne Lenders (University of Antwerp)*; Andrea Pugnana (University of Pisa); Roberto Pellungrini (University of Pisa); Toon Calders (Universiteit Antwerpen); Fosca Giannotti (Scuola Normale Superiore); Dino Pedreschi (University of Pisa)
CAM-Based Methods Can See through WallsMagamed Taimeskhanov (Université Côte d'Azur)*; Ronan Sicre (LIS); Damien Garreau (Université Côte d'Azur)
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation ModelsGustavo Escobedo (Johannes Kepler University Linz)*; Marta Moscati (Johannes Kepler University Linz); Peter Müllner (Know-Center); Simone Kopeinik (Know-Center); Dominik Kowald (Know-Center); Elisabeth Lex (TU Graz); Markus Schedl (Johannes Kepler University Linz)
Boosting Long-Tail Data Classification with Sparse Prototypical NetworksAlexei G Figueroa (Berliner Hochschule für Technik)*; Jens-Michalis Papaioannou (Berliner Hochschule für Technik); Conor Fallon (Berliner Hochschule für Technik); Alexandra Bekiaridou (Elmezzi Graduate School of Molecular Medicine); Keno Kyrill Bressem (German Heart Center Munich, Institute of radiology and nuclear medicine, technical university Munich); Felix Alexander Gers (Berliner Hochschule Für Technik); Stavros Zanos (Feinstein Institutes for Medical Research); Wolfgang Nejdl (L3S Research Center); Alexander Löser (Beuth Hochschule für Technik Berlin)
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph EmbeddingsYUHE BAI (Sorbonne University)*; Camelia Constantin (University Pierre et Marie Curie); Hubert Naacke (LIP6 - Sorbonne Université)
A Unified Contrastive Loss for Self-TrainingAurelien Gauffre (Laboratoire d'Informatique de Grenoble)*; Julien Horvat (Laboratoire d'Informatique de Grenoble); Massih-Reza Amini (Univ. Grenoble Alpes)
Achieving Counterfactual Explanation for Sequence Anomaly DetectionHe Cheng (Utah State University)*; Depeng Xu (University of North Carolina at Charlotte); Shuhan Yuan (Utah State University); Xintao Wu (University of Arkansas)
Hierarchical Structure-aware Graph Prompting for Drug-Drug Interaction PredictionYuhan Ye (University of Science and Technology of China)*; Jingbo Zhou (Baidu Inc.); Shuangli Li (University of Science and Technology of China); Congxi Xiao (University of Science and Technology of China); Haochao Ying (Zhejiang University); Hui Xiong (Hong Kong University of Science and Tech)
Frugal Generative Modeling with Density Probes for Tabular DataAlice Lacan (Université Paris-Saclay, IBISC/LISN/CNRS)*; Blaize Hanczar (University of Evry); Michele Sebag (CNRS, Université Paris-Saclay)
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream ClassificationPaweł Zyblewski (Wrocław University of Science and Technology)*
Centered Masking for Language-Image Pre-TrainingMingliang Liang (Radboud University)*; Martha Larson (Radboud University)
Univariate Skeleton Prediction in Multivariate Systems Using TransformersGiorgio L Morales Luna (Montana State University)*; John W Sheppard (Montana State University)
Adaptive Certified Training: Towards Better Accuracy-Robustness TradeoffsZhakshylyk Nurlanov (University of Bonn)*; Frank R Schmidt (Robert Bosch GmbH); Florian Bernard (University of Bonn)
Real-Part Quantum Support Vector MachinesNico Piatkowski (Fraunhofer IAIS)*; Sascha Mücke (TU Dortmund)
Tackling Oversmoothing in GNN via Graph SparsificationTanvir Hossain (Georgia State University)*; Khaled Mohammed Saifuddin (Georgia State University); Muhammad Ifte Khairul Islam (Georgia State University); Farhan Tanvir (Georgia State University); Esra Akbas (Georgia State University)
Enhancing Shortest-Path Graph Kernels via Graph AugmentationWei Ye (Tongji University)*; Hao Tian (Tongji University); Shuhao Tang (Tongji University); Xin Sun (City University of Macau)
Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-aware RecommendationShengyin SUN (City University of Hong Kong)*; Chen Ma (City University of Hong Kong)
Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language UnderstandingXu Meng (Harbin Institute of Technology, Shenzhen)*; Jun Rao (Harbin Institute of Technology, Shenzhen); Shuhan Qi (Harbin Institute of Technology, Shenzhen); Lei Wang (Ping An Technology); Jing Xiao (Ping An Insurance (Group) Company of China); Xuan Wang (Harbin Institute of Technology)
Adaptively Denoising Graph Neural Networks for Knowledge DistillationYuxin Guo (Beijing University of Posts and Telecommunications)*; Cheng Yang (School of Computer Science, Beijing University of Posts and Telecommunications); Chuan Shi (Beijing University of Posts and Telecommunications); Ke Tu (Ant Group); Zhengwei Wu (Ant Financial); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Financial)
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding ClusteringJiaxing Yan (Sun Yat-sen University)*; Yuyin Lu (Sun Yat-sen University); he-gang chen (Sun Yat-sen University); Jianxing Yu (Sun Yat-sen University); Yanghui Rao (Sun Yat-sen University)
High-Dimensional Bayesian Optimization via Random Projection of ManifoldQuoc-Anh Hoang Nguyen (FPT Software )*; Hung The Tran (Deakin University)
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior NetworksClemens Damke (LMU Munich)*; Eyke Hüllermeier (University of Munich)
Bundle Recommendation with Item-level Causation-enhanced Multi-view LearningHuy-Son Nguyen (VNU University of Engineering and Technology)*; Tuan-Nghia Bui (VNU University of Engineering and Technology); Long-Hai Nguyen (VNU University of Engineering and Technology ); Hoang Manh Hung (VNU University of Engineering and Technology); Cam-Van Thi Nguyen (VNU-Unversity of Engineering and Technology, Hanoi); Hoang-Quynh Le (University of Engineering and Technology); Duc-Trong Le (University of Engineering and Technology, Vietnam National University, Hanoi)
Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss FunctionAbhisek Tiwari (Indian Institute of Technology Patna)*; Muhammed Sinan C K (Indian Institute of Technology, Patna); Kaushik Roy (Artificial Intelligence Institute, University of South Carolina); Amit P Sheth (University of South Carolina); Sriparna Saha (IIT Patna); Pushpak Bhattacharya (IIT Bombay)
CRISPert: A Transformer-based Model for CRISPR-Cas Off-target PredictionDinh Tran (King Fahd University of Petroleum & Minerals);Rolf Backofen ( Freiburg University ) ; William Pargeter ( Freiburg University )
LimGen: Probing the LLMs for Generating Suggestive Limitations of Research PapersAbdur Rahman Bin Mohammed Faizullah (Indian Institutes of Information Technology, Hyderabad), Ashok Urlana (TCS Research)*, Rahul Mishra (IIIT Hyderabad)
Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision TransformersThanh Thi Nguyen (Monash University)*, Campbell Wilson (Monash University), Janis Dalins (Australian Federal Police)
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