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Transfer Explainability via Layer-Wise Relevance Propagation Demo for AAAI

Python 95.99% Shell 0.89% CSS 0.03% HTML 2.06% JavaScript 1.03%
aaai2019 explainable-ai lrp transfer-learning

transferlrp's Introduction

                                      
~ $ whoami
Login: michaelmm                           Name: Michael M. Meskhi
Directory: /home/michaelmm                 Shell: /usr/bin/zsh

Bio: Ph.D. student at the University Of Houston working on 
learning to learn problems such as meta-learning,
data distillation, knowledge representation,
and explainable AI. ๐Ÿ”ญ Iโ€™m currently working on: - Optimizing some non-linear binary programming code I wrote. - Working on analyzing information captured by meta-features. - Drafting 2 papers for JMLR and NeurIPS. - Spatial entropy in machine learning. ๐ŸŒฑ Iโ€™m currently learning: - Learning more math. - Practicing good coding habits. โšก Hot take: - Jax is a better framework than PyTorch.

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