CASA: Clustered Federated Learning with Asynchronous Clients
Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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TitleTypeTopic
CAFO: Feature-Centric Explanation on Time Series Classification
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash
Yixin Tang, Yicong Lin, Navdeep S. Sahni
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals
Marco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm
Bringing Multimodality to Amazon Visual Search System
Xinliang Zhu, Sheng-Wei Huang, Han Ding, JINYU YANG, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Yao, Douglas Gray, Anuj Bindal, Arnab Dhua
Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective
Luying Zhong, Renjie Lin, JiayinL JiayinLi, Shiping Wang, Zheyi Chen
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Brant-X: A Unified Physiological Signal Alignment Framework
Daoze Zhang, Zhizhang Yuan, Junru Chen, Kerui Chen, Yang Yang
BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification
Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
Bivariate Decision Trees: Smaller, Interpretable, More Accurate
Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán
BitLINK: Temporal Linkage of Address Clusters in Bitcoin Blockchain
Sheng Zhong, Abdullah Mueen
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
Croix Gyurek, Niloy Talukder, Mohammad Al Hasan
Bi-Objective Contract Allocation for Guaranteed Delivery Advertising
Yan Li, Yundu Huang, Wuyang Mao, Furong Ye, Xiang He, Zhonglin Zu, Shaowei Cai
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration
Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu
Beimingwu: A Learnware Dock System
Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou
Balanced Confidence Calibration for Graph Neural Networks
Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
Yi Liu, Cong Wang, Xingliang YUAN
BacktrackSTL: Ultra-Fast Online Seasonal-Trend Decomposition with Backtrack Technique
Haoyu Wang, Hongke Guo, Zhaoliang Zhu, You Zhang, Yu Zhou, Xudong Zheng
BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization
Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip Yu, Mingsheng Long, Jianmin Wang
Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations
Shen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang