Tag: self-supervised learning
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Estimating Target Task Performance in Semi/Self-Supervised Learning
Discover a low-cost method to estimate target task performance from unsupervised pretext tasks in semi/self-supervised learning for improved AI models.
Self-supervised PINNs for Stellar Structure Equations
Discover how self-supervised physics-informed neural networks solve stellar structure equations efficiently, outperforming traditional methods like MESA.
PRIME: Multimodal Cancer Prognosis with Missing Data
Discover PRIME, a prototype-driven multimodal pretraining method improving cancer prognosis accuracy despite missing clinical data modalities.
Self-Supervised Model for Calcium Imaging Dynamics
Discover CalM, a self-supervised model advancing calcium imaging analysis for neural dynamics forecasting and behavior decoding.
Optimize Marine Species Classification with Circuit Duplication
Enhance marine species classification using circuit duplication in frozen visual transformers—boost accuracy without fine-tuning or extra training.