Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Databy Zhenzhong Wang, Qingyuan Zeng, Wanyu…
SOHES: Self-supervised Open-world Hierarchical Entity Segmentationby Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi…
Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-Supervised Contrastive Learningby…
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Modelsby Shivvrat Arya,…
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imageryby Yiqun…
Hypergraph Self-supervised Learning with Sampling-efficient Signalsby Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying…
OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysisby Vandan Gorade, Azad Singh,…
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Seriesby Zahra Zamanzadeh Darban,…
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognitionby Hao Feng, Yuanzhe Jia, Ruijia Xu,…
Anomaly Correction of Business Processes Using Transformer Autoencoderby Ziyou Gong, Xianwen Fang, Ping WuFirst submitted…