FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
Samuel Maddock, Graham Cormode, carsten maple
KDD 2024 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
562papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled562100.0%
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FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML
Brian Liu, Rahul Mazumder
Extreme Meta-classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation
Ming Chen, Weike Pan, Zhong Ming
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
Hussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee
Expander Hierarchies for Normalized Cuts on Graphs
Kathrin Hanauer, Monika Henzinger, Robin Münk, Harald Räcke, Maximilian Vötsch
Evading Community Detection via Counterfactual Neighborhood Search
Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei
Estimated Judge Reliabilities for Weighted Bradley-Terry-Luce Are Not Reliable
Andrew F. Dreher, Etienne Vouga, Donald S. Fussell
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
Yihong Huang, Yuang Zhang, Liping Wang, Fan Zhang, Xuemin Lin
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng
Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models
Arnab Dutta, Gleb Polushin, Xiaoshuang Zhang, Daniel Stein
Enhancing Contrastive Learning on Graphs with Node Similarity
Hongliang Chi, Yao Ma
Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking
Dezhi Ye, Jie Liu, Jiabin Fan, Bowen Tian, Tianhua Zhou, Xiang Chen, Jin Ma
Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning
Jiayuan Zhang, Xuefeng Liu, Zhang Yukang, Guogang Zhu, Jianwei Niu, Shaojie Tang
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou
Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity
Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee