TSC: a Simple Two-Sided Constraint against Over-Smoothing
Furong Peng, Kang Liu, Xuan Lu, Yuhua Qian, Hongren Yan, Chao Ma
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
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
ziyang zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization
Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang
Statistical Models of Top-k Partial Orders with Variable k
Amel Awadelkarim, Johan Ugander
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng, Wenqian Ye, Aidong Zhang
Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online Advertising
Yumin Su, Min Xiang, Yifei Chen, Yanbiao Li, Tian Qin, Hongyi Zhang, Yasong Li, Xiaobing Liu
Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature Prediction
Dekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li, Yu Zheng
Source Localization for Cross Network Information Diffusion
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
Sketch-Based Replay Projection for Continual Learning
Jack Julian, Yun Sing Koh, Albert Bifet
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape
Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation
Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey Caterino, Ping Zhang
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization
Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, YUE JIANG, Simon Mak, Cynthia Rudin
SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns
Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren
Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate
Minyoung Bae, Yooju Shin, Youngeun Nam, Young Seop Lee, Jae-Gil Lee
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao