IJCAI 2023
846 papers
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney A Survey on Dataset Distillation: Approaches, Applications and Future Directions
Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong A Survey on Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen A Survey on Masked Autoencoder for Visual Self-Supervised Learning
Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon A Survey on User Behavior Modeling in Recommender Systems
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy Accurate MRI Reconstruction via Multi-Domain Recurrent Networks
Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen Action Recognition with Multi-Stream Motion Modeling and Mutual Information Maximization
Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren Action Space Reduction for Planning Domains
Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi Active Visual Exploration Based on Attention-mAP Entropy
Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski ActUp: Analyzing and Consolidating tSNE and UMAP
Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu Adversarial Contention Resolution Games
Giorgos Chionas, Bogdan S. Chlebus, Dariusz R. Kowalski, Piotr Krysta AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa
Bushra Ibnauf, Mohammed Aboul Ezz, Ayman Abdel Aziz, Khalid Elgazzar, Mennatullah Siam AI-Driven Sign Language Interpretation for Nigerian Children at Home
Ifeoma Nwogu, Roshan L. Peiris, Karthik Dantu, Ruchi Gamta, Emma Asonye ALL-E: Aesthetics-Guided Low-Light Image Enhancement
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu Analyzing Intentional Behavior in Autonomous Agents Under Uncertainty
Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker, Scott J. Shapiro, Ruzica Piskac, Bettina Könighofer Anticipatory Fictitious Play
Alex Cloud, Albert Wang, Wesley Kerr Appearance Prompt Vision Transformer for Connectome Reconstruction
Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu Approximate Inference in Logical Credal Networks
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel Assessing and Enforcing Fairness in the AI Lifecycle
Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O'Sullivan AudioQR: Deep Neural Audio Watermarks for QR Code
Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma Automated Planning for Generating and Simulating Traffic Signal Strategies
Saumya Bhatnagar, Rongge Guo, Keith McCabe, Thomas L. McCluskey, Francesco Percassi, Mauro Vallati Automatic Truss Design with Reinforcement Learning
Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu Automating Rigid Origami Design
Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du Bias on Demand: Investigating Bias with a Synthetic Data Generator
Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli Black-Box Data Poisoning Attacks on Crowdsourcing
Pengpeng Chen, Yongqiang Yang, Dingqi Yang, Hailong Sun, Zhijun Chen, Peng Lin Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang BRExIt: On Opponent Modelling in Expert Iteration
Daniel Hernandez, Hendrik Baier, Michael Kaisers Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning
Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu Can You Improve My Code? Optimizing Programs with Local Search
Fatemeh Abdollahi, Saqib Ameen, Matthew E. Taylor, Levi H. S. Lelis CGS: Coupled Growth and Survival Model with Cohort Fairness
Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia Choose Your Data Wisely: A Framework for Semantic Counterfactuals
Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou Clustered-Patch Element Connection for Few-Shot Learning
Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang Compositional Zero-Shot Artistic Font Synthesis
Xiang Li, Lei Wu, Changshuo Wang, Lei Meng, Xiangxu Meng Computing Abductive Explanations for Boosted Regression Trees
Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint
Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye Contour-Based Interactive Segmentation
Polina Popenova, Danil Galeev, Anna Vorontsova, Anton Konushin Contrastive Label Enhancement
Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian Contrastive Learning for Sign Language Recognition and Translation
Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu Controlling Neural Style Transfer with Deep Reinforcement Learning
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu Core Challenges in Embodied Vision-Language Planning (Extended Abstract)
Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh CostFormer: Cost Transformer for Cost Aggregation in Multi-View Stereo
Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie Cross-Community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation
Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation
Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie Data Level Lottery Ticket Hypothesis for Vision Transformers
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang Decoupling with Entropy-Based Equalization for Semi-Supervised Semantic Segmentation
Chuanghao Ding, Jianrong Zhang, Henghui Ding, Hongwei Zhao, Zhihui Wang, Tengfei Xing, Runbo Hu Deep Multi-View Subspace Clustering with Anchor Graph
Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He Deep Partial Multi-Label Learning with Graph Disambiguation
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini DeepPSL: End-to-End Perception and Reasoning
Sridhar Dasaratha, Sai Akhil Puranam, Karmvir Singh Phogat, Sunil Reddy Tiyyagura, Nigel P. Duffy Delegated Online Search
Pirmin Braun, Niklas Hahn, Martin Hoefer, Conrad Schecker Description Logics with Pointwise Circumscription
Federica Di Stefano, Magdalena Ortiz, Mantas Simkus Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu Dichotomous Image Segmentation with Frequency Priors
Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang Differentiable Model Selection for Ensemble Learning
James Kotary, Vincenzo Di Vito, Ferdinando Fioretto DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao Discounting in Strategy Logic
Munyque Mittelmann, Aniello Murano, Laurent Perrussel Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu Distributional Multi-Objective Decision Making
Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers Diversity, Agreement, and Polarization in Elections
Piotr Faliszewski, Andrzej Kaczmarczyk, Krzysztof Sornat, Stanislaw Szufa, Tomasz Was Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables
Huawen Shen, Xiang Gao, Jin Wei, Liang Qiao, Yu Zhou, Qiang Li, Zhanzhan Cheng Don't Ignore Alienation and Marginalization: Correlating Fraud Detection
Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren Dual Personalization on Federated Recommendation
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang Dual Video Summarization: From Frames to Captions
Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong Dynamic Flows on Curved Space Generated by Labeled Data
Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers
Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji Efficient Object Search in Game Maps
Jinchun Du, Bojie Shen, Shizhe Zhao, Muhammad Aamir Cheema, Adel Nadjaran Toosi Enabling Abductive Learning to Exploit Knowledge Graph
Yu-Xuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wang-Zhou Dai, Wei Hu, Yuan Jiang, Zhi-Hua Zhou Engineering an Efficient Approximate DNF-Counter
Mate Soos, Divesh Aggarwal, Sourav Chakraborty, Kuldeep S. Meel, Maciej Obremski Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu Error in the Euclidean Preference Model
Luke Thorburn, Maria Polukarov, Carmine Ventre Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation
Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang Explanation-Guided Reward Alignment
Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein Exploiting Non-Interactive Exercises in Cognitive Diagnosis
Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang Fair and Efficient Allocation of Indivisible Chores with Surplus
Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta Fair Division with Two-Sided Preferences
Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita Fairly Allocating Goods and (Terrible) Chores
Hadi Hosseini, Aghaheybat Mammadov, Tomasz Was Fairness via Group Contribution Matching
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu Fedstellar: A Platform for Training Models in a Privacy-Preserving and Decentralized Fashion
Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán Fighting Against Organized Fraudsters Using Risk Diffusion-Based Parallel Graph Neural Network
Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang Find Rhinos Without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats
Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe Finite Entailment of UCRPQs over ALC Ontologies (Extended Abstract)
Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Ibáñez-García, Filip Murlak First-Choice Maximality Meets Ex-Ante and Ex-Post Fairness
Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Yongzhi Cao, Hanpin Wang Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks to Guide Sustainable Crop Management
Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha Full Scaling Automation for Sustainable Development of Green Data Centers
Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan Game Theory with Simulation of Other Players
Vojtech Kovarík, Caspar Oesterheld, Vincent Conitzer Gapformer: Graph Transformer with Graph Pooling for Node Classification
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo Generalization Bounds for Adversarial Metric Learning
Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu Generative Diffusion Models on Graphs: Methods and Applications
Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo Graph Neural Convection-Diffusion with Heterophily
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao Graph Propagation Transformer for Graph Representation Learning
Zhe Chen, Hao Tan, Tao Wang, Tianrun Shen, Tong Lu, Qiuying Peng, Cheng Cheng, Yue Qi Graph Sampling-Based Meta-Learning for Molecular Property Prediction
Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen Graph-Based Molecular Representation Learning
Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang Group Fairness in Set Packing Problems
Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin HDFormer: High-Order Directed Transformer for 3D Human Pose Estimation
Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie Hierarchical State Abstraction Based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu Hierarchical Transformer for Scalable Graph Learning
Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang HOI-Aware Adaptive Network for Weakly-Supervised Action Segmentation
Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies
Pablo Navarro, Celia Cintas, Manuel J. Lucena, José Manuel Fuertes, Antonio Jesús Rueda, Rafael Jesús Segura, Carlos J. Ogáyar-Anguita, Rolando González-José, Claudio Delrieux Improving Heterogeneous Model Reuse by Density Estimation
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao Incentivizing Recourse Through Auditing in Strategic Classification
Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik Incomplete Multi-View Clustering via Prototype-Based Imputation
Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng Intent-Aware Recommendation via Disentangled Graph Contrastive Learning
Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves
Thiago S. Gouvêa, Hannes Kath, Ilira Troshani, Bengt Lüers, Patricia P. Serafini, Ivan B. Campos, André S. Afonso, Sergio M. F. M. Leandro, Lourens Swanepoel, Nicholas Theron, Anthony M. Swemmer, Daniel Sonntag KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu Keeping People Active and Healthy at Home Using a Reinforcement Learning-Based Fitness Recommendation Framework
Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley Learnable Surrogate Gradient for Direct Training Spiking Neural Networks
Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang Learning 3D Photography Videos via Self-Supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan Learning Causal Effects on Hypergraphs (Extended Abstract)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan Learning Object Consistency and Interaction in Image Generation from Scene Graphs
Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang, Changyuan Yang, Lingyun Sun Learning Small Decision Trees with Large Domain
Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider Learning to Act for Perceiving in Partially Unknown Environments
Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti, Luciano Serafini, Paolo Traverso Learning When to Use Automatic Tabulation in Constraint Model Reformulation
Carlo Cena, Özgür Akgün, Zeynep Kiziltan, Ian Miguel, Peter Nightingale, Felix Ulrich-Oltean Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin Levin Tree Search with Context Models
Laurent Orseau, Marcus Hutter, Levi H. S. Lelis Lifelong Multi-View Spectral Clustering
Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv Local and Global: Temporal Question Answering via Information Fusion
Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan Long-Term Monitoring of Bird Flocks in the Wild
Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar Low-Confidence Samples Mining for Semi-Supervised Object Detection
Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang Machine Learning Driven Aid Classification for Sustainable Development
Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery
Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou Max Markov Chain
Yu Zhang, Mitchell Bucklew Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun Measuring and Controlling Divisiveness in Rank Aggregation
Rachael Colley, Umberto Grandi, César A. Hidalgo, Mariana Macedo, Carlos Navarrete MM-PCQA: Multi-Modal Learning for No-Reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He, Quan Zhou, Guangtao Zhai MMPN: Multi-Supervised Mask Protection Network for Pansharpening
Changjie Chen, Yong Yang, Shuying Huang, Wei Tu, Weiguo Wan, Shengna Wei Model Predictive Control with Reach-Avoid Analysis
Dejin Ren, Wanli Lu, Jidong Lv, Lijun Zhang, Bai Xue Modeling the Impact of Policy Interventions for Sustainable Development
Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin, Srinath Srinivasa MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu Moral Planning Agents with LTL Values
Umberto Grandi, Emiliano Lorini, Timothy Parker More for Less: Safe Policy Improvement with Stronger Performance Guarantees
Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen Multi-Agent Advisor Q-Learning (Extended Abstract)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley Multi-Agent Intention Recognition and Progression
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah Multi-Modality Deep Network for JPEG Artifacts Reduction
Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma, Bo Yan, Liquan Shen Multi-Robot Coordination and Layout Design for Automated Warehousing
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li Multi-Scale Subgraph Contrastive Learning
Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao Multi-Task Learning via Time-Aware Neural ODE
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method
Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor Neural Capacitated Clustering
Jonas K. Falkner, Lars Schmidt-Thieme Neuro-Symbolic Class Expression Learning
Caglar Demir, Axel-Cyrille Ngonga Ngomo New Fairness Concepts for Allocating Indivisible Items
Ioannis Caragiannis, Jugal Garg, Nidhi Rathi, Eklavya Sharma, Giovanna Varricchio Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang On a Voter Model with Context-Dependent Opinion Adoption
Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale On AI-Assisted Pneumoconiosis Detection from Chest X-Rays
Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury On Approximating Total Variation Distance
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran On Discovering Interesting Combinatorial Integer Sequences
Martin Svatos, Peter Jung, Jan Tóth, Yuyi Wang, Ondrej Kuzelka On the Paradox of Learning to Reason from Data
Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck On the Reuse Bias in Off-Policy Reinforcement Learning
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu On the Role of Memory in Robust Opinion Dynamics
Luca Becchetti, Andrea Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan, Robin Vacus One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
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