Towards Graph-Level Anomaly Detection via Deep Evolutionary Mapping
Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
KDD 2023 论文列表
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Towards Fairness in Personalized Ads Using Impression Variance aware Reinforcement Learning
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Towards Fair Disentangled Online Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics
Shuai Wang, Haotian Wang, Fanshuo Kong, Desheng Zhang, Tian He
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards A Generic Framework for Mechanism-Guided Deep Learning for Manufacturing Applications
Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, French University Institute, Chen Wang, Wei Wang, Jianwei Song, Wen Lu
To Aggregate or Not? Learning with Separate Noisy Labels
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
Time-to-Event Modeling with Hypernetwork based Hawkes Process
Manisha Dubey, Srijith P K, Maunendra Desarkar
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity
Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu
The Missing Indicator Method: From Low to High Dimensions
Mike Van Ness, Tomas M Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
Md Shamim Hussain, Mohammed J Zaki, Dharmashankar Subramanian
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data
Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E Gonzalez, Kannan Ramchandran, charles h martin, Michael W. Mahoney
Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
Kartik sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar
Task-Equivariant Graph Few-Shot Learning
Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park
Task Relation-aware Continual User Representation Learning
Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
Taming the Domain Shift in Multi-Source Learning for Energy Disaggregation
Xiaomin Chang, Wei Li, Yunchuan Shi, Albert Y. Zomaya
TWIN: Two-Stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou
Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai
TWIN: Personalized Clinical Trial Digital Twin Generation
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