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Paper Title Author Names
11 NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networks Ying Sun (The Hong Kong Polytechnic University); Hongwei Yong (The Hong Kong Polytechnic University); Lei Zhang ("Hong Kong Polytechnic University, Hong Kong, China")*
16 Learning Disentangled Discrete Representations David Friede (University of Mannheim)*; Christian Reimers (Max Planck Institute for Biogeochemistry); Heiner Stuckenschmidt (University of Mannheim); Mathias Niepert (University of Stuttgart)
18 Binary domain generalization for sparsifying binary neural networks Riccardo Schiavone (Politecnico di Torino)*; Francesco Galati (EURECOM); Maria A. Zuluaga (EURECOM)
19 Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks Mehdi Seyfi (Meta); Amin Banitalebi-Dehkordi (Huawei Technologies Canada Co., Ltd.)*; Zirui Zhou ( Huawei Technologies Canada Co., Ltd.); Yong Zhang (Huawei Technologies Canada Co., Ltd.)
36 Powered Dirichlet Process - Controlling the ``Rich-Get-Richer'' Assumption in Bayesian Clustering Gaël Poux-Médard (Université de Lyon)*; Julien Velcin (University of Lyon ERIC LYON 2); Sabine Loudcher (Université de Lyon)
44 Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry Jonas Gregor Wiese (TU Munich); Lisa Wimmer (University of Munich (LMU)); Theodore Papamarkou (The University of Manchester); Bernd Bischl (LMU Munich); Stephan Guennemann (TU Munich); David Ruegamer (LMU Munich)*
46 ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation Boyu Li (University of Technology Sydney)*; Ting Guo (University of Technology, Sydney); Xingquan Zhu (Florida Atlantic University); Yang Wang (UTS); Fang Chen (UTS)
60 Mitigating Algorithmic Bias with Limited Annotations Guanchu Wang (Rice University)*; Mengnan Du (New Jersey Institute of Technology); Ninghao Liu (University of Georgia); Na Zou (Texas A&M University); Xia Hu (Rice University)
62 The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks Maximilian Stubbemann (University of Kassel)*; Gerd Stumme (University of Kassel)
72 The Metric is the Message: Benchmarking challenges for neural symbolic regression Amanda M Bertschinger (University of Vermont)*; Tyrell Davis (University of Vermont); James Bagrow (University of Vermont); Joshua Bongard (University of Vermont)
73 Learning Conditional Instrumental Variable Representation for Causal Effect Estimation Debo Cheng (University of South Australia)*; Ziqi Xu (University of South Australia); Jiuyong Li (University of South Australia); Lin Liu (University of South Australia); Thuc Duy Le (University of South Australia); Jixue Liu (University of South Australia)
77 Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction Bowen Xing (University of Technology Sydney)*; Ivor Tsang (University of Technology Sydney)
78 Efficient Hyperdimensional Computing Zhanglu Yan (National University of Singapore)*; Shida Wang (National University of Singapore); Kaiwen Tang (National University of Singapore); Weng-Fai Wong (National University of Singapore)
88 Symbolic Regression via Control Variable Genetic Programming Nan Jiang (Purdue University); Yexiang Xue (Purdue University)*
90 MuSE: A Multi-scale Emotional Flow Graph Model for Empathetic Dialogue Generation Deji Zhao (Northeastern University)*; Donghong Han (Northeastern University); Ye Yuan ( Beijing Institute of Technology); chao wang (China Telecom); Shuangyong Song (Jing Dong)
114 A kNN-based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery Johannes Huegle (Hasso Plattner Institute)*; Christopher Hagedorn (Hasso Plattner Institute); Rainer Schlosser (Hasso Plattner Institute)
120 Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker (University of Amsterdam)*; Herke van Hoof (University of Amsterdam); Max Welling (University of Amsterdam)
122 FG²AN: Fairness-aware Graph Generative Adversarial Networks Zichong Wang (Michigan Technological University)*; Charles Wallace (Michigan Technological University); Albert Bifet (University of Waikato); Xin Yao (Southern University of Science and Technology); Wenbin Zhang (Michigan Technological University)
129 MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data Cheng Liang (Guangzhou University); Di Wu (College of Computer and Information Science, Southwest University)*; Yi He (Old Dominion University); Teng Huang (Guangzhou University); Zhong Chen (Xavier University of Louisiana); Xin Luo (Chongqing Institute of Green and Intelligent Technology)
136 Learning to Augment Graph Structure for both Homophily and Heterophily Graphs Lirong Wu (Westlake University)*; Cheng Tan (Zhejiang University & Westlake University); Zihan Liu (Zhejiang University & Westlake University); Zhangyang Gao (westlake university); Haitao Lin (westlake university); Stan Z. Li (Westlake University)
141 Learning Representations for Bipartite Graphs using Multi-Task Self-Supervised Learning Akshay Sethi (Mastercard)*; Sonia Gupta (Mastercard); Aakarsh Malhotra (Mastercard); Siddhartha Asthana (Mastercard)
144 ChiENN: Embracing Molecular Chirality with Graph Neural Networks Piotr Gaiński (Jagiellonian Univeristy)*; Michał Koziarski (MILA, Université de Montréal); Jacek Tabor (Jagiellonian University); Marek Smieja (Jagiellonian University)
149 Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity Shiyun Xu (University of Pennsylvania); Zhiqi Bu (University of Pennsylvania)*; Pratik Chaudhari (University of Pennsylvania); Ian J Barnett (University of Pennsylvania)
151 Overcoming Catastrophic Forgetting for Fine-tuning Pre-trained GANs Zeren Zhang (Peking University)*; Xingjian Li (Baidu Research); Tianyang Wang (University of Alabama at Birmingham); Tao Hong (Peking University); Jinwen Ma (Peking University); Haoyi Xiong (Baidu, Inc.); Cheng-Zhong Xu (University of Macau)
153 Towards Practical Federated Causal Structure Learning Zhaoyu Wang (Tongji University); Pingchuan Ma (HKUST)*; Shuai Wang (HKUST)
161 On the Distributional Convergence of Temporal Difference Learning Jie Dai (Dongguan University of Tech)*; Xuguang Chen (National University of Denfense Technology)
188 Quantifying Robustness to Adversarial Word Substitutions Yuting Yang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)*; Pei Huang (Institute of Software, Chinese Academy of Sciences); Juan Cao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Feifei Ma (Institute of Software, Chinese Academy of Sciences); Jian Zhang (Institute of Software, Chinese Academy of Sciences); Jintao Li (Institute of Computing Technology, Chinese Academy of Sciences)
193 RBNets: A Reinforcement Learning Approach for Learning Bayesian Network Structure Zuowu Zheng (Shanghai Jiao Tong University)*; Chao Wang (Shanghai Jiaotong University); Xiaofeng Gao (Shanghai Jiaotong University); Guihai Chen (Shanghai Jiao Tong University)
203 Exploring and Exploiting Data-Free Model Stealing Chi Hong (TU Delft)*; Jiyue Huang (TU Delft); Robert Birke (University of Torino); Lydia Chen (TU Delft)
204 Unsupervised Deep Cross-Language Entity Alignment Chuanyu Jiang (Hainan University)*; Yiming Qian (Institute of High Performance Computing, A*STAR); Lijun Chen (Hainan University); Yang Gu (Hainan University); Xia Xie (Hainan University)
212 Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao (Ant Group)*; Zhengwei Wu (Ant Financial); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Services Group )
215 Not All Tasks are Equal: a Parameter-efficient Task Reweighting Method for Few-shot learning Xin Liu (Beijing Jiaotong University)*; Yilin Lyu (Beijing Jiaotong University); Liping Jing (Beijing Jiaotong University); Tieyong Zeng (The Chinese University of Hong Kong); Jian Yu (Beijing Jiaotong University)
217 A Unified Spectral Rotation Framework Using a Fused Similarity Graph Yuting Liang (South China Normal University)*; Yuncheng Jiang (South China Normal University); Wen Bai (South China Normal University)
232 Improved Multi-Label Propagation for Small Data with Multi-Objective Optimization Khadija Musayeva (INRIA)*; Mickaël Binois (Inria)
244 Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer Xiyu Wang (university of sydney)*; Pengxin Guo (Southern University of Science and Technology); Yu Zhang (Southern University of Science and Technology)
245 SimSky: An Accuracy-Aware Algorithm for Single-Source SimRank Search Liping Yan (Nanjing University of Science and Technology)*; Weiren Yu (University of Warwick)
252 Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach Zicheng Zhao (Nanjing University of Science and Technology)*; Linhao Luo (Monash University); Shirui Pan (Griffith University); Quoc Viet Hung Nguyen (Griffith University); Chen Gong (Nanjing University of Science and Technology)
268 Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen (Beijing University of Posts and Telecommunications)*; Chuang Zhu (Beijing University of Posts and Telecommunications ); mengting li (Beijing University of Posts and Telecommunications)
278 Contrastive Hierarchical Clustering Michał Znaleźniak (AMD); Przemysław Rola (Cracow University of Economics); Patryk Kaszuba (Poznan University of Technology); Jacek Tabor (Jagiellonian University); Marek Smieja (Jagiellonian University)*
293 DCID - Deep Canonical Information Decomposition Alexander A. Rakowski (Hasso Plattner Institute)*; Christoph Lippert (Hasso Plattner Insitute for Digital Engineering, Universität Potsdam)
295 Rényi Divergence Deep Mutual Learning Weipeng Huang (SBD Lab, Tencent )*; Junjie Tao (Xi'an Jiaotong University); Changbo Deng (Tencent); Ming Fan (Xi'an JiaoTong University); Wenqiang Wan (Tencent Security Lab); Qi Xiong (Tencent Security Lab); Guangyuan Piao (Maynooth University)
313 Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang (Eindhoven University of Technology)*; Shiwei Liu (Eindhoven University of Technology); Tianlong Chen (Unversity of Texas at Austin); Meng Fang (TU/e); Li Shen (JD Explore Academy); Vlado Menkovski (Eindhoven University of Technology); Lu Yin (Eindhoven University of Technology); Yulong Pei (TU Eindhoven); Mykola Pechenizkiy (TU Eindhoven)
323 Offline Reinforcement Learning with On-Policy Q-Function Regularization Laixi Shi (Carnegie Mellon Unviersity)*; Robert Dadashi (Google); Yuejie Chi (Carnegie Mellon University); Pablo Samuel Castro (Google); Matthieu Geist (Google Brain)
335 SpotGAN: A Reverse-Transformer GAN Generates Scaffold-Constrained Molecules with Property Optimization Chen Li (Nagoya University)*; Yoshihiro Yamanishi (Nagoya University)
350 Boosting Generalized Few-Shot Learning by Scattering Intra-Class Distribution Yunlong Yu (Zhejiang University)*; Lisha Jin (Zhejiang University); Yingming Li (Zhejiang University)
351 Posterior Consistency for Missing Data in Variational Autoencoders Timur Sudak (University of Vienna); Sebastian Tschiatschek (University of Vienna)*
355 REAL: A Representative Error Driven Approach for Active Learning cheng chen (Renmin University of China)*; Yong Wang (Singapore Management University); Lizi Liao (Singapore Management University); Yueguo Chen (Renmin University of China); Xiaoyong Du (Renmin University of China)
356 Contrastive Learning with Cluster-preserving Augmentation for Attributed Graph Clustering Yimei Zheng (School of Computer and Information Technology & Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University); Caiyan Jia (School of Computer and Information Technology & Beijing Key Lab of Traffic Data Analysis and Mining,)*; Jian Yu (Beijing Jiaotong University)
370 Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition Arpan Dasgupta (IIIT Hyderabad); pawan kumar (IIIT, Hyderabad)*
374 Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting Julia Gastinger (NEC Laboratories Europe GmbH)*; Timo Sztyler (NEC Laboratories Europe GmbH); Lokesh Sharma (NEC Laboratories Europe GmbH); Anett Schülke (NEC Laboratories Europe); Heiner Stuckenschmidt (University of Mannheim)
377 KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation Jiaqi Bai (Beihang University)*; Zhao Yan (Tencent); Ze Yang (Beihang University); Jian Yang (BeiHang University); xinnian liang (Beihang University); hongcheng Guo (Beihang university); Zhoujun Li (Beihang University)
395 Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning Zifeng Ding (LMU Munich)*; Jingpei Wu (Technical University of Munich); Zongyue Li (TUM); Yunpu Ma (LMU); Volker Tresp (Siemens AG and Ludwig Maximilian University of Munich )
410 Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations Ke Sun (University of Alberta)*; Yingnan Zhao (Harbin Engineering University); Shangling Jui (Huawei Kirin Solution); Linglong Kong (University of Alberta)
413 Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network Gu Shuyun (Beijing University of Posts and Telecommunications)*; Chuan Shi (Beijing University of Posts and Telecommunications); Xiao Wang (Beihang University)
415 Multi-Label Image Classification with Multi-Scale Global-Local Semantic Graph Network Wenlan Kuang (Guangxi Normal University); Qiangxi Zhu (Guangxi Normal University); Zhixin Li (Guangxi Normal University)*
420 CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection Jindong Li (Jilin University)*; Qianli Xing (Jilin University); Qi Wang (Jilin University); Yi Chang (Jilin University)
422 Deep Imbalanced Time-series Forecasting via Local Discrepancy Density Junwoo Park (Korea Advanced Institute of Science and Technology, KAIST)*; Jungsoo Lee (Graduate School of Artificial Intelligence, KAIST); Youngin Cho (Korea Advanced Institute of Science and Technology); Woncheol Shin (Korea Advanced Institute of Science and Technology, KAIST); Dongmin Kim (Korea Advanced Institute of Science and Technology); Jaegul Choo (Korea Advanced Institute of Science and Technology); Edward Choi (KAIST)
432 Learning Locally Interpretable Rule Ensemble Kentaro Kanamori (Fujitsu Limited)*
448 CasSampling: Exploring Efficient Cascade Graph Learning for Popularity Prediction Guixiang Cheng (School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China)*; Xin Yan (School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China ); Shengxiang Gao (Kunming University of Science and Technology); Guangyi Xu (Yunnan Nantian Electronic Information Industry Co., Ltd., Yunnan, China); Xianghua Miao (Faculty of Information Engineering and Automation, Kunming University of Science and Technology)
454 Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns Sizhe Zhou (Shanghai Jiao Tong University)*; Suyu Ge (University of Illinois Urbana Champaign); Jiaming Shen (Google Research); Jiawei Han (UIUC)
455 Learning Hierarchical Planning-Based Policies from Offline Data Jan Wöhlke (Bosch Center for Artificial Intelligence)*; Felix Schmitt (Bosch Center for Artificial Intelligence); Herke van Hoof (University of Amsterdam)
456 Cooperative Bayesian optimization for imperfect agents Ali Khoshvishkaie (Aalto University); Petrus Mikkola (Aalto University); Pierre-Alexandre Murena (Hamburg University of Technology (TUHH))*; Samuel Kaski (Aalto University and University of Manchester)
460 k-SubMix: Common Subspace Clustering on Mixed-Type Data Mauritius Klein (LMU Munich)*; Collin Leiber (LMU Munich); Christian Böhm (University of Vienna)
468 Adversarial Imitation Learning with Controllable Rewards for Text Generation Keizaburo Nishikino (Fujitsu Limited.)*; Kenichi KOBAYASHI (Fujitsu)
476 XAI with Machine Teaching when Humans Are (Not) Informed about the Irrelevant Features Brigt Arve Toppe Håvardstun (University of Bergen)*; Cèsar Ferri (Universitat Politècnica València); José Hernández-Orallo (Universitat Politècnica de València); Pekka Parviainen (University of Bergen); Jan Arne Telle (University of Bergen (Norway))
479 Online Network Source Optimization with Graph-Kernel MAB Laura Toni (UCL)*; Pascal Frossard (EPFL)
480 Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse (AIML TU Darmstadt)*; Wolfgang Stammer (TU Darmstadt); Thomas Rothenbächer (TU Darmstadt); Dwarak Vittal (TU Darmstadt); Kristian Kersting (TU Darmstadt)
482 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu (The University of Sydney)*; Jiayu Zhang (Suzhou Yierqi); Zhibo Jin (The University of Sydney); Xinyi Wang (Jiangsu University); Minhui Xue (CSIRO); Jun Shen (University of Wollongong); Raymond Choo (University of Texas at San Antonio); HUAMING CHEN (The University of Sydney)
487 Graph-level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu (University of Technology Sydney )*; Guansong Pang (Singapore Management University); Ling Chen (" University of Technology, Sydney, Australia")
489 vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-shot Learning Xin Liu (Beijing Jiaotong University)*; Shijing Wang (Beijing Jiaotong University); Kairui Zhou (Beijing Jiaotong University); Yilin Lyu (Beijing Jiaotong University); Mingyang Song (Beijing Jiaotong University); Liping Jing (Beijing Jiaotong University); Tieyong Zeng (The Chinese University of Hong Kong); Jian Yu (Beijing Jiaotong University)
505 Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti (TU Berlin)*; Michelle Karg (ADC Automotive Distance Control Systems GmbH, Continental); Christian Wirth (Continental); Azarm Nowzad (Continental); Sahin Albayrak (Technische Universität Berlin (DAI-Labor))
510 Multiple-Source Adaptation using Variational Rényi Bound Optimization Dana K Oshri (Reichman University)*; Shai Fine (Reichman University)
524 Learning Data Representations with Joint Diffusion Models Kamil Deja (Warsaw University of Technology)*; Tomasz Trzcinski (Tooploox, Warsaw University of Technology, Jagiellonian University of Cracow); Jakub M Tomczak (Eindhoven University of Technology)
528 Online Deep Hybrid Ensemble Learning for Time Series Forecasting Amal Saadallah (TU Dortmund)*; Matthias Jakobs (TU Dortmund University)
534 Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment François Painblanc (Rennes 2 University); Laetitia Chapel (IRISA)*; Nicolas Courty (IRISA UMR CNRS 6074); Chloe Friguet (Univ. Bretagne-Sud / IRISA); Charlotte Pelletier (Université de Bretagne du Sud); Romain Tavenard (Univ. Rennes, LETG / IRISA)
536 Semi-Supervised Learning from Active Noisy Soft Labels for Anomaly Detection Timo Martens (KU Leuven)*; Lorenzo Perini (KU Leuven); Jesse Davis (KU Leuven)
537 Neural Class Expression Synthesis in ALCHIQ(D) N'Dah Jean Kouagou (Paderborn University)*; Stefan Heindorf (Paderborn University); Caglar Demir (Paderborn University); Axel-Cyrille Ngonga Ngomo (Paderborn University)
539 Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning Weichen Li (RPTU Kaiserslautern-Landau)*; Rati Devidze (MPI-SWS ); Sophie Fellenz (RPTU Kaiserslautern-Landau)
540 Learning Geometric Representations of Objects via Interaction Alfredo Reichlin (KTH Royal Institute of Technology)*; Giovanni Luca Marchetti (KTH Royal Institute of Technology); Hang Yin (University of Copenhagen); Anastasiia Varava (KTH); Danica Kragic (KTH Royal Institute of Technology)
554 MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation Nagham Osman (University College London (UCL)); Clément Vignac (EPFL)*; Laura Toni (UCL); Pascal Frossard (EPFL)
566 Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition Chen Fan (University of British Columbia)*; Christos Thrampoulidis (University of British Columbia); Mark Schmidt (University of British Columbia)
567 Targeting the Source: Selective Data Curation for Debiasing NLP Models Yacine Gaci (Université Claude Bernard Lyon 1)*; Boualem Benatallah (Dublin City University); Fabio Casati (U of trento); Khalid Benabdeslem (University lyon 1)
569 Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching Bastien BD Dussap (Universite Paris-Saclay)*; Gilles Blanchard (Paris Saclay University); Badr-Eddine Chérief-Abdellatif ()
577 Quantifying Node-based Core Resilience Jakir Hossain (University at Buffalo); Sucheta Soundarajan (Syracuse University); A. Erdem Sariyuce (University at Buffalo)*
579 News Recommendation via Jointly Modeling Event Matching and Style Matching Pengyu Zhao (Qilu University of Technology (Shandong Academy of Sciences)); Shoujin Wang (University of Technology Sydney); Wenpeng Lu (Qilu University of Technology (Shandong Academy of Sciences))*; Xueping Peng (University of Technology Sydney); Weiyu Zhang (Qilu University of Technology(Shandong Academy of Sciences)); Chaoqun Zheng (Qilu University of Technology (Shandong Academy of Sciences) ); Yonggang Huang (Beijing Institute of Technology)
583 Cold-start Multi-hop Reasoning by Hierarchical Guidance and Self-verification Mayi Xu (Wuhan University)*; Ke Sun (Wuhan University); Yongqi Li (Wuhan University); Tieyun Qian (Wuhan University)
585 Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar (Criteo, Sorbonne Université)*; patrick Gallinari (Sorbonne Universite); Alain Rakotomamonjy (Criteo)
588 PEACE: Cross-Platform Hate Speech Detection - A Causality-guided Framework Paras Sheth (Arizona State University)*; Tharindu S Kumarage (Arizona State University); Raha Moraffah (Arizona State University); Aman Chadha (Stanford University/Amazon Inc.); Huan Liu (Arizona State University)
590 A scalable solution for the extended multi-channel facility location problem Etika Agarwal (Walmart Global Tech)*; Karthik S Gurumoorthy (Walmart Global Tech); Ankit Ajit Jain (Walmart Global Tech); Shantala Manchenahally (Walmart Global Tech)
592 Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms Sungjin Im (UC Merced); Benjamin Moseley (Carnegie Mellon University); Chenyang Xu (East China Normal University); Ruilong Zhang (University at Buffalo)*
603 Learning Graphical Factor Models with Riemannian Optimization Alexandre Hippert-Ferrer (LASTIG, Univ Gustave Eiffel, IGN ENSG)*; Florent Bouchard (L2S); Ammar Mian (Université Savoie Mont-Blanc); Titouan Vayer (ENS Lyon); Arnaud Breloy (Université Paris Nanterre)
621 Knowledge-driven Active Learning Gabriele Ciravegna (Politecnico di Torino)*; Frederic Precioso (Université Cote d'Azur); Alessandro Betti (); Kevin Mottin (Université Côte D'Azur); Marco Gori (University of Siena)
625 Bi-Tuning: Efficient Transfer from Pre-Trained Models Jincheng Zhong (Tsinghua University); Haoyu Ma (Tsinghua University); Ximei Wang (Tencent); Zhi Kou (Tsinghua University); Mingsheng Long (Tsinghua University)*
639 Generating robust counterfactual explanations Victor V Guyomard (Orange)*; Thomas Guyet (Inria, Centre de Lyon); Tassadit Bouadi (Universite de Rennes 1); Françoise FF Fessant (Orange); Alexandre Termier (Université Rennes 1)
641 Is my Neural Net driven by the MDL Principle? Eduardo Brandao (Laboratoire Hubert Curien)*; Amaury Habrard (University of St-Etienne, Lab. H. Curien); Francois Jacquenet (University of Saint-Etienne); Marc Sebban (Jean Monnet University); Rémi Emonet (Unversité Saint-Etienne); Stefan Duffner (University of Lyon)
646 Meta-HRNet: A High Resolution Network for Coarse-to-Fine Few-Shot Classification Zhaochen Li (Peking University)*; Kedian Mu (Peking University)
647 Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach Rishi Hazra (Örebro University)*; Luc De Raedt (ORU)
655 Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection Yu Zhang (Beijing University of Posts and Telecommunications)*; Chuang Zhu (Beijing University of Posts and Telecommunications ); Guoqing Yang (Beijing University of Posts and Telecommunications); Siqi Chen (Beijing University of Posts and Telecommunications)
656 Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks Haiyan Zhao (University of Technology Sydney)*; Tianyi Zhou (University of Maryland); Guodong Long (University of Technology Sydney); Jing Jiang (University of Technology Sydney); Chengqi Zhang (University of Technology Sydney)
660 Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks An Xu (University of Pittsburgh)*; Yang Bai (Tencent)
661 Distributed Adaptive Learning with Divisible Communication An Xu (University of Pittsburgh)*; Yang Bai (Tencent)
668 Sparse Transformer Hawkes Process for Long Event Sequences Zhuoqun Li (Louisiana State University)*; Mingxuan Sun (Louisiana State University)
673 SALAS: Supervised Aspect Learning Improves Abstractive Multi-Document Summarization through Aspect Information Loss Haotian Chen (Fudan University)*; Han Zhang (Fudan University); Houjing Guo (Fudan University); Shuchang Yi (Fudan University); Bingsheng Chen (Fudan University); Xiangdong Zhou (Fudan University)
682 Make A Long Image Short: Adaptive Token Length for Vision Transformers Qiqi Zhou (Shanghai University of Electric Power); Yichen Zhu (Midea Group)*
693 Generality-training of a Classifier for Improved Calibration in Unseen Contexts Bhawani Shankar Leelar (University of Tartu)*; Meelis Kull (University of Tartu)
699 KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar (IIT Delhi)*; ankur narang (ieee); Brejesh Lall (IIT Delhi)
706 Transformer-based Contrastive Multi-view Clustering via Ensembles Mingyu Zhao (Fudan University)*; Weidong Yang (Fudan University); Feiping Nie (Northwestern Polytechnical University)
715 Graph Rebasing and Joint Similarity Reconstruction for Cross-Modal Hash Retrieval dan yao (Guangxi normal university); Zhixin Li (Guangxi Normal University)*
716 On the good behaviour of Extremely Randomized Trees in Random Forest-distance computation Manuele Bicego ()*; Ferdinando Cicalese (University of Verona)
717 A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data Matrices Giulia Marchello (Université Côte d’Azur)*; Marco Corneli (Université Côte d'Azur); Charles Bouveyron (Université Côte d'Azur)
741 Spatio-temporal Pyramid Networks for Traffic Forecasting Jia Hu (Northwest Normal University)*; Xianghong Lin (Northwest Normal University); Chu Wang (Northwest Normal University)
743 Estimating Treatment Effects Under Heterogeneous Interference Xiaofeng Lin (Graduate School of Informatics, Kyoto University)*; Guoxi Zhang (Kyoto University); Xiaotian Lu (Kyoto University); Han Bao (Kyoto University); Koh Takeuchi (Kyoto Univerisity); Hisashi Kashima (Kyoto University)
747 A Passage Retrieval Transformer-based Re-ranking Model for Truthful Consumer Health Search Rishabh Upadhyay (University of Milano-Bicocca)*; Gabriella Pasi (UNIMIB); Marco Viviani (Università degli Studi di Milano-Bicocca)
754 Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification Junru Zhang (Zhejiang University)*; Lang Feng (Zhejiang University); Haowen Zhang (College of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China); Yuhan Wu (Zhejiang University); Yabo Dong (Zhejiang University)
755 Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes Luca Sabbioni (Politecnico di Milano)*; Francesco Corda (Politecnico di Milano); Marcello Restelli (Politecnico di Milano)
763 KESHEM: Knowledge Enabled Short Health Misinformation Detection Framework Fei Liu (Renmin University of China); Yibo Li (Research Institute of Smart Senior Care, School of Information, Renmin University of China); Meiyun Zuo (Renmin University of China)*
771 Invariant Lipschitz Bandits: A Side Observation Approach Nam Phuong Tran (University of Warwick)*; Long Tran-Thanh (University of Warwick)
775 Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting Hongyang Su (Harbin Institute of Technology, Shenzhen); Xiaolong Wang (Harbin Institute of Technology, Shenzhen)*; Qingcai Chen (Harbin Institute of Technology, Shenzhen); Yang Qin (Harbin Institute of Technology(Shenzhen))
781 cuSLINK: Single-Linkage Agglomerative Clustering on the GPU Corey J Nolet (Nvidia)*; Alex Fender (NVIDIA); Divye Gala (NVIDIA); Mahesh Doijade (Nvidia); Joe Eaton (NVIDIA); Edward Raff (Booz Allen Hamilton); Brad Rees (NVIDIA); Tim Oates (University Of Maryland Baltimore County); John Zedlewski (Nvidia)
786 Dynamic Thresholding for Accurate Crack Segmentation using Multi-Objective Optimization Qin Lei (Chongqing University)*; Jiang Zhong (); Chen Wang (Chongqing University); Yang Xia (CHONGQING ACADEMY OF BIG DATA CO., Ltd); Yangmei Zhou (Chongqing Academy of Science and Technology)
799 Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation Shaowei Wei (Ant Group); Zhengwei Wu (Ant Financial); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Financial)*
800 Clifford Embeddings -- A Generalized Approach for Embedding in Normed Algebras Caglar Demir (Paderborn University)*; Axel-Cyrille Ngonga Ngomo (Paderborn University)
810 Fairness in Multi-Task Learning via Wasserstein Barycenters Francois HU (Université de Montréal)*; Philipp Ratz (Université du Québec à Montréal); Arthur Charpentier (UQAM)
814 PROPAGATE: a seed propagation framework to compute Distance-based metrics on Very Large Graphs Antonio Cruciani (Gran Sasso Science Institute)*; Giambattista Amati (Fondazione Ugo Bordoni); Simone Angelini (Fondazione Ugo Bordoni); Daniele Pasquini (Università degli Studi di Roma Tor Vergata); Paola Vocca (University of Rome "Tor Vergata")
819 BalancedQR : A framework for balanced query recommendation Harshit Mishra (Syracuse University)*; Sucheta Soundarajan (Syracuse University)
823 CoSP: Co-supervised pre-training of pocket and ligand Zhangyang Gao (westlake university)*; Cheng Tan (Zhejiang University & Westlake University); Jun Xia (Westlake University); Stan Z. Li (Westlake University)
834 Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance Jyotishka Ray Choudhury (Indian Statistical Institute, Kolkata)*; Aytijhya Saha (Indian Statistical Institute, Kolkata); Sarbojit Roy (King Abdullah University of Science and Technology); Subhajit Dutta (Indian Institute of Technology Kanpur)
838 ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi (University of Georgia)*; Kaixiong Zhou (Rice University); Ninghao Liu (University of Georgia)
840 Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova (University of Vienna)*; Lena Zellinger (University of Vienna); Benjamin Roth (University of Vienna)
842 Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Wei Zhao (HITS; Heidelberg University)*; Federico Lopez (Heidelberg Institute for Theoretical Studies); J. Maxwell Riestenberg (Heidelberg University); Michael Strube (Heidelberg Institute for Theoretical Studies ); Diaaeldin Taha (Mathematisches Institut der Universität Heidelberg); Steve Trettel (University of San Francisco)
847 Estimating Dynamic Time Warping Distance Between Time Series with Missing Data Aras Yurtman (KU Leuven)*; Jonas Soenen (KU Leuven); Wannes Meert (KU Leuven); Hendrik Blockeel (KU Leuven)
849 Informed Priors for Knowledge Integration in Trajectory Prediction Christian Schlauch (Technische Universität Dortmund)*; Christian Wirth (Continental); Nadja Klein (Trustworthy Data Science and Security (UA Ruhr) Department of Statistics (Technische Universität Dortmund))
852 Hypernetworks build Implicit Neural Representations of Sounds Filip Szatkowski (Warsaw University of Technlogy, IDEAS NCBR)*; Karol J Piczak (Jagiellonian University); Tomasz Trzcinski (Warsaw University of Technology, Tooploox, Jagiellonian University); PRzemysław Spurek (Jagiellonian University); Jacek Tabor (Jagiellonian University)
859 Scoring rule nets: Beyond mean target prediction in multivariate regression Daan Roordink (Enexis Group); Sibylle Hess (TU Eindhoven)*
891 Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction Jiaming Li (Huazhong University of Science and Technology)*; Lang Lang (bytedance); zhenlong zhu (microsoft); Haozhao Wang (Huazhong University of Science and Technology); Ruixuan Li (Huazhong University of Science and Technology); Wenchao Xu (The Hong Kong Polytechnic University)
894 Graph Contrastive Representation Learning with Input-aware and Cluster-aware Regularization Jin Li (Fuzhou University)*; Bingshi Li (Fuzhou University); Qirong Zhang (Fuzhou University ); Xinlong Chen (Fuzhou University); Xinyang Huang (Fuzhou University); Longkun Guo (Fuzhou University); Yang-Geng Fu (Fuzhou University)
896 Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series Zhen Wang (Zhejiang Lab)*; Ting Jiang (Zhejiang Lab); Zenghui Xu (Zhejiang lab); Ji Zhang (Zhejiang Lab); Jianliang Gao (Central South University); Ou Wu (Tianjin University); Ke Yan (National University of Singapore)
897 ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification Shuxian Li (Southern University of Science and Technology)*; Liyan Song (Southern University of Science and Technology); xiaoyu wu (Huawei); zheng hu (huawei); Yiu-ming CHEUNG (Hong Kong Baptist University); Xin Yao (Southern University of Science and Technology)
912 Contrastive Representation through Angle and Distance based Loss for Partial Label Learning Priyanka Chudasama (Mastercard)*; Tushar Kadam (Mastercard ); Rajat Patel (Mastercard); Aakarsh Malhotra (Mastercard); Manoj Mangam (Mastercard)
929 Improving Autoregressive NLP Tasks via Modular Linearized Attention Victor Agostinelli (Oregon State University)*; Lizhong Chen (Oregon State University)
930 Construction and Training of Multi-Associative Graph Networks Adrian Horzyk (AGH University of Science and Technology)*; Daniel Bulanda (AGH University of Science and Technology); Janusz Starzyk (WSIZ)
934 DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction Cong Wang (Jilin University); Xiaofeng Cao (Jilin University)*; Lan-Zhe Guo (Nanjing University); Zenglin Shi (A*star)
943 Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen (Hangzhou Dianzi University)*; Pengfei Jiao (Hangzhou Dianzi University); Huijun Tang (Hangzhou Dianzi University); Huaming Wu (Tianjin University)
945 CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation Luxi Wang (Zhejiang University)*; Yingming Li (Zhejiang University)
950 Leveraging Free Labels to Power Up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study Xugang Wu (National University of Defense Technology)*; Huijun Wu (National University of Defense Technology ); Ruibo Wang (National University of Defense Technology ); Duanyu Li ( National University of Defense Technology); Xu Zhou ( National University of Defense and Technology); Kai Lu (National University of Defense Technology)
958 Neural models for Factual Inconsistency Classification with Explanations Tathagata Raha (IIIT Hyderabad)*; Mukund Choudhary (International Institute of Information Technology Hyderabad); Abhinav S Menon (IIIT-H); Harshit Gupta (IIITH); KV Aditya Srivatsa (IIIT Hyderabad); Manish Gupta (Microsoft,India); Vasudeva Varma (IIIT Hyderabad)
965 Leveraging Variational Autoencoders for Multiple Data Imputation Breeshey Roskams-Hieter (University of Edinburgh)*; Jude Wells (University College London); Sara Wade (University of Edinburgh)
970 Weighted Multivariate Mean Reversion for Online Portfolio Selection Boqian Wu (University of Twente)*; Benmeng Lyu (Southern University of Science and Technology, The University of Hong Kong); Jiawen Gu (Southern University of Science and Technology)
976 Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation Kai Ouyang (Tsinghua University)*; Wenhao Zheng (Shopee); Chen Tang (Tsinghua University); Xuanji Xiao (Shopee); Hai-Tao Zheng (Tsinghua University)
988 Equivariant Representation Learning in the Presence of Stabilizers Luis Armando Perez Rey (Eindhoven University of Technology)*; Giovanni Luca Marchetti (KTH Royal Institute of Technology); Danica Kragic (KTH Royal Institute of Technology); Dmitri Jarnikov (Eindhoven University of Technology); Mike Holenderski (Eindhoven University of Technology)
994 A New Framework for Classifying Probability Density Functions Anis Fradi (université Clermont Auvergne)*; Chafik Samir (CNRS-UCA)
996 Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 670k Labels on a Single Commodity GPU Erik Schultheis (Aalto University)*; Rohit Babbar (University of Bath (UK) and Aalto University (Finland))
1003 Detecting Evasion Attacks in Deployed Tree Ensembles Laurens Devos (KU Leuven)*; Lorenzo Perini (KU Leuven); Wannes Meert (KU Leuven); Jesse Davis (KU Leuven)
1005 iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik (Ludwig-Maximilians-Universität Munich)*; Fabian Fumagalli (Bielefeld University); Barbara Hammer (CITEC, Bielefeld University); Eyke Hüllermeier ( Ludwig-Maximilians-Universität Munich)
1038 Regularization for uplift regression Krzysztof Rudaś (Institute of Computer Science, Polish Academy of Sciences )*; Szymon Jaroszewicz (Institute of Computer Science, Polish Academy of Sciences)
1054 ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Lukas Rauch (University of Kassel)*; Matthias Aßenmacher (LMU Munich); Denis Huseljic (University of Kassel); Bernhard Sick (University of Kassel); Moritz Wirth (University of Kassel); Bernd Bischl (LMU Munich)
1058 Filtered Observations for Model-based Multi-agent Reinforcement Learning Linghui Meng (Institute of Automation, Chinese Academy of Sciences)*; Xuantang Xiong (Institute of Automation, Chinese Academy of Science); Yifan Zang (Institute of Automation, Chinese Academy of Science); Xi Zhang (Institute of Automation, Chinese Academy of Science); Guoqi Li (Institute of Automation, Chinese Academy of Sciences); Dengpeng Xing (Institute of Automation, Chinese Academy of Sciences); Bo Xu (Institute of Automation, Chinese Academy of Sciences)
1069 DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection Jaemin Yoo (KAIST)*; Yue Zhao (University of Southern California); Lingxiao Zhao (Carnegie Mellon University); Leman Akoglu (CMU)
1076 Learning distinct features helps, provably Firas Laakom (Tampere University)*; Jenni Raitoharju (University of Jyväskylä); Alexandros Iosifidis (Aarhus University); Moncef Gabbouj (Tampere University)
1077 Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis Hiroki Waida (Tokyo Institute of Technology)*; Yuichiro Wada (Fujitsu / RIKEN AIP); Léo Andéol (Institut de Mathématiques de Toulouse / SNCF / Université de Toulouse / CNRS); Takumi Nakagawa (Tokyo Institute of Technology/RIKEN AIP); Yuhui Zhang (Tokyo Institute of Technology); Takafumi Kanamori (Tokyo Institute of Technology/RIKEN AIP)
1081 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis (University of Minnesota)*; Vassilis N. Ioannidis (Amazon Web Services); Shen Wang (Amazon); Da Zheng (Amazon); Adesoji Adeshina (Amazon); Jun Ma (Amazon); Han Zhao (University of Illinois at Urbana-Champaign); Christos Faloutsos (Amazon); George Karypis (Amazon)
1086 Exploring Word-Sememe Graph-Centric Chinese Antonym Detection Zhaobo Zhang (Huazhong University of Science and Technology); Pingpeng Yuan (Huazhong University of Science & Technology); Hai Jin (Huazhong University of Science and Technology)*
1119 Triplets Oversampling for Class Imbalanced Federated Datasets Chenguang Xiao (The University of Birmingham)*; Shuo Wang (The University of Birmingham)
1130 Interpretation Attacks and Defenses on Predictive Models using Electronic Health Records Fereshteh Razmi (Emory University)*; Li Xiong (Emory University); Yuan Hong (University of Connecticut); Jian Lou (Hoiying Net)
1156 Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs Bowen Song (China university of Geosciences(Wuhan))*; Chengjin Xu (International Digital Economy Academy); Kossi Amouzouvi (Technische Universität Dresden); Maocai Wang (China university of Geosciences(Wuhan)); Jens Lehmann (Amazon); Sahar Vahdati (InfAI)
1167 Skeletal cores and graph resilience Danylo Honcharov (Syracuse University)*; A. Erdem Sariyuce (University at Buffalo); Ricky Laishram (Syracuse University); Sucheta Soundarajan (Syracuse University)
1171 H2-Nets: Hyper-Hodge Convolutional Neural Networks for Time-series Forecasting Yuzhou Chen (Temple University)*; Tian Jiang (The University of Texas at Dallas); Yulia R. Gel (The University of Texas at Dallas)
1175 BipNRL : Mutual Information Maximization on Bipartite Graphs for Node Representation Learning Pranav Poduval (Mastercard)*; Gaurav Oberoi (Mastercard ); Sangam Verma (Mastercard); Ayush Agarwal (Mastercard); Karamjit Singh (Mastercard); Siddhartha Asthana (Mastercard)
1181 An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Sebastian Müller (University of Bonn)*; Vanessa Toborek (University Bonn); Katharina Beckh (Fraunhofer IAIS); Matthias Jakobs (TU Dortmund University); Christian Bauckhage (Fraunhofer IAIS); Pascal Welke (TU Wien)
1184 GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi (Carleton University )*; Yuhong Guo (Carleton University)
1190 Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints Mihailo Obrenović (ICube, University of Strasbourg)*; Thomas Lampert (University of Strasbourg); Pierre Gançarski (University of Strasbourg); Miloš Ivanović (University of Kragujevac)
1209 Efficient Fine-tuning Large Language Models for Knowledge-Aware Response Planning Van Minh Nguyen (University of Oregon)*; Kishan KC (Amazon); Toan Q Nguyen (Amazon); Ankit R Chadha (Amazon); Thuy Vu (Amazon)
1225 Socially Fair Center-based and Linear Subspace Clustering Sruthi Gorantla (Indian Institute of Science, Bangalore)*; Kishen N. Gowda (University of Maryland); Amit Deshpande (Microsoft Research); Anand Louis (Indian Institute of Science, Bangalore, India)
1226 Marvolo: Programmatic Data Augmentation for Deep Malware Detection Mike Wong (Princeton University); Edward Raff (Booz Allen Hamilton)*; James Holt (Laboratory for Physical Sciences); Ravi Netravali (Princeton University)
1229 A Transductive Forest for Anomaly Detection with Few Labels Jingrui Zhang (University of Auckland)*; Ninh Pham (University of Auckland); Gillian Dobbie ("Univ. of Auckland, New Zealand")
1231 Enhancing Table Retrieval with Dual Graph Representations Tianyun liu (Institute of Information Engineering,CAS)*; Xinghua Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Zhenyu Zhang (Institute of Information Engineering, CAS); Yubin Wang (Institute of Information Engineering, Chinese Academy of Sciences); Quangang Li (Institute of Information Engineering, CAS); Shuai Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Tingwen Liu (Institute of Information Engineering, CAS)
1237 A Few Good Sentences: Content Selection For Abstractive Text Summarization Vivek Srivastava (TCS Research)*; Savita Bhat (TCS Research); Niranjan Pedanekar (TCS Research)
1251 Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning Zhaohui Jiang (Shanghai Jiao Tong University)*; Paul Weng (Shanghai Jiao Tong University)
1255 Hierarchical Graph Contrastive Learning Hao Yan (Central south university); Senzhang Wang (Central South University)*; Jun Yin (Central South University); Chaozhuo Li (Beihang University); Junxing Zhu (National University of Defense Technology); Jianxin Wang (Central South University)
1281 Learning Fast and Slow: Towards Inclusive Federated Learning Muhammad Tahir Munir (LUMS)*; Muhammad Mustansar Saeed (LUMS); Mahad Ali (LUMS); Zafar Qazi (LUMS); Ihsan Ayyub A Qazi (Lahore University of Management Sciences (LUMS)); Agha Ali Raza (LUMS)
1286 Continuous Depth Recurrent Neural Differential Equations srinivas anumasa (Indian Institute of Technology, Hyderabad); Geetakrishnasai Gunapati (Indian institute of technology Hyderabad ); P. K. Srijith (IIT Hyderabad)*
1287 ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction Monika Jain (Indraprastha Institute of Information Technology, Delhi, India)*; Kuldeep Singh (Cerence GmbH); Raghava Mutharaju (IIIT-Delhi, India)
1301 DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber (Ludwig-Maximilians-Universität München)*; Julian Busch (Siemens Technology); Daniel Rotthues (LMU Munich); Christian M.M. Frey (Fraunhofer IIS); Thomas Seidl (LMU Munich)
1310 LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals Caglar Demir (Paderborn University)*; Michel Wiebesiek (Universität Paderborn); Renzhong Lu (University Paderborn ); Axel-Cyrille Ngonga Ngomo (Paderborn University); Stefan Heindorf (Paderborn University)
1318 SL-Diff: Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems Bosong Huang (South China Normal University)*; Weihao Yu (Research Institute of China Telecom Corporate Ltd.); Ruzhong Xie (South China Normal University); Jing Xiao (South China Normal University); Jin Huang (South China Normal Univesity)
1330 Practical and General Backdoor Attacks against Vertical Federated Learning Yuexin Xuan (Institute of Information Engineering, Chinese Academy of Sciences)*; Xiaojun CHEN (Institute of Information Engineering, CAS); Zhendong Zhao (Institute of Information Engineering,Chinese Academy of Sciences); Bisheng Tang (University of Chinese Academy of Sciences); Ye Dong (Institute of Information Engineering, Chinese Academy of Sciences)
1334 Attentive Multi-Layer Perceptron for Non-autoregressive Generation Shuyang Jiang (Shanghai Jiao Tong University)*; Jun Zhang (ECNU); jiangtao feng (Shanghai AI Lab); Lin Zheng (The University of Hong Kong); Lingpeng Kong (The University of Hong Kong)
1335 DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data Andrzej Dulny (University of Würzburg)*; Andreas Hotho (University of Wuerzburg); Anna Krause (University of Würzburg)
1336 Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations Thibault Marette (KTH Royal Institute of Technology)*; Pauli Miettinen (University of Eastern Finland); Stefan Neumann (KTH Royal Institute of Technology)
1342 REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training Jiaxu Zhao (Eindhoven University of Technology)*; Lu Yin (Eindhoven University of Technology); Shiwei Liu (Eindhoven University of Technology); Meng Fang (University of Liverpool); Mykola Pechenizkiy (TU Eindhoven)
1345 Interpretable Regional Descriptors: Hyperbox-Based Local Explanations Susanne Dandl (LMU Munich)*; Giuseppe Casalicchio (Ludwig-Maximilians-Universität München); Bernd Bischl (LMU Munich); Ludwig Bothmann (LMU Munich)
1363 TIGTEC : Token Importance Guided TExt Counterfactuals Milan BHAN (Ekimetrics)*; Marie-Jeanne Lesot (LIP6); Jean-Noël Vittaut (Sorbonne Université, CNRS, LIP6); Nicolas Chesneau (Ekimetrics)
1372 Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference Jiayao Chen (Shenzhen University); Rui Wang (Shenzhen University); Jueying He (Shenzhen University); Mark Junjie Li (Shenzhen University)*
1386 How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning Sandra Gilhuber (Ludwig-Maximilians-Universität München)*; Rasmus Hvingelby (Fraunhofer IIS); Mang Ling Ada Fok (The University of Tokyo); Thomas Seidl (LMU Munich)
1397 MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers Kun Zhou (Renmin University of China)*; Xiao Liu (Microsoft Research Asia); Yeyun Gong (Microsoft Research Asia); Wayne Xin Zhao (Renmin University of China); Daxin Jiang (Microsoft, Beijing, China); Nan Duan (Microsoft Research); Ji-Rong Wen (Renmin University of China)
1413 Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He (University of Tuebingen)*; Tianyi Zhou (University of Maryland, College Park); Meng Fang (University of Liverpool); Setareh Maghsudi (University of Tübingen)