Tag: self-supervised learning
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CoRe-ECG: Enhanced Self-Supervised Learning for 12-Lead ECG
Discover CoRe-ECG, a self-supervised method combining contrastive and reconstructive learning to improve 12-lead ECG analysis accuracy.
Self-Supervised Learning for 12-Lead ECG Analysis
Discover ECG-JEPA, a self-supervised model using joint-embedding to improve 12-lead ECG representation and cardiac diagnosis accuracy.
Integrating Graph Embeddings in Event Sequence Models
Boost event sequence model accuracy by integrating graph-based embeddings for improved fraud detection and recommendations in digital platforms.
Graph-Based Parsers Beat LLMs in Complex Relation Extraction
Graph-based parsers outperform large language models in supervised relation extraction tasks involving complex linguistic graphs and multiple relations.
EB-JEPA: Lightweight Energy-Based Joint-Embedding Library
Discover EB-JEPA, a lightweight library for energy-based joint-embedding predictive architectures enabling efficient self-supervised learning and video mod...