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https://github.com/jishanshaikh4/ml-papers21

Awesome ML Research Papers (2021) -- IN PROGRESS
https://github.com/jishanshaikh4/ml-papers21

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Awesome ML Research Papers (2021) -- IN PROGRESS

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# Machine Learning Papers 2021

A collection of epic (good) papers to be read in 2021 ![#100DaysOfMLResearch](https://github.com/jishanshaikh4/ml-papers21) ![#RoadToMLResearcher](https://github.com/jishanshaikh4/ml-papers21)

## PAPERS

*Level = {1, 2, 3, 4, 5}, 5 being the hardest.
*Assertion = {L, M, S, H}, H being the highest

DAYPAPERLEVELINCEXTRA

DAY-01 GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction 3SNA
Matrix Encoding Networks for Neural Combinatorial Optimization2MNA
Active Learning for Deep Neural Networks on Edge Devices 1LNA


DAY0003SNA
2MNA
1LNA

## Developer / Maintainer

Developed and Maintained by: Jishan Shaikh (github.com/jishanshaikh4)

## License

The papers are mostly collected from open sources (e.g. arXiv.org). If someone finds it restricted, do notify by a pull request. These are for learning purposes, no commercial use of them is allowed. They are provided as it is, without any WARRANTY. COPYRIGHT IS OWNED BY RESPECTIVE AUTHORS, PUBLISHERS, INSTITUTES, ACADEMIA, etc.