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In the vision transformer architecture, we apply GFlowOut, a learnable dropout technique, in the transformer encoder. This allows us to learn posterior distribution over dropout masks tailored to our dataset, improving performance of the model.

GFlowNets for Eye Images

Medical AI
Ophthalmology
GFlowNets
Uncertainty Estimation
Jan 13, 2025
Anirudh Prabhakaran

ExTempConv-SM Model

Fever Temperature Analysis

Featured
Medical AI
Explainable AI
Time Series Analysis
Update: We won the Best Paper Award at the IEEE AICECS 2024!
Dec 12, 2024
Anirudh Prabhakaran
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