Guided Adversarial Robust Transfer Learning with Source Mixing
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Updated
Aug 16, 2024 - R
Guided Adversarial Robust Transfer Learning with Source Mixing
A method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training
Implementation of distribution mapping based transfer learning
Simple implementation of (Takada & Fujisawa, 2020, NeurIPS) and (Takada & Fujisawa, 2023, arXiv)
A Unet semantic segmentation workflow for working with TPS files
matrans: an R package for multi-source transfer learning via frequentist model averaging
Code for the paper "Causal Domain Adaptation with Copula Entropy based Conditional Independence Test"
REVOLVER - Repeated Evolution in Cancer
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