Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularityby Hyunki Seong, David Hyunchul ShimFirst submitted to…
Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)by Huanran Li, Manh Nguyen, Daniel Pimentel-AlarcónFirst…
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applicationsby Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita…
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learningby Wenzhuo Liu, Fei Zhu, Cheng-Lin LiuFirst…
Noise2Noise Denoising of CRISM Hyperspectral Databy Robert Platt, Rossella Arcucci, Cédric M. JohnFirst submitted to…
Masked Autoencoders are PDE Learnersby Anthony Zhou, Amir Barati FarimaniFirst submitted to arxiv on: 26…
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patientsby Zihao Zhao, Yi Jing,…
Graph Augmentation for Recommendationby Qianru Zhang, Lianghao Xia, Xuheng Cai, Siuming Yiu, Chao Huang, Christian…
A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspectiveby Ziwen Zhao, Yixin Su, Yuhua Li,…
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodationby Yiwei…