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A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
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README.md Update README.md May 26, 2019

README.md

awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

This repo is aimed to provide the info for AutoML research (especially for the lightweight models). Welcome to PR the works (papers, repositories) that are missed by the repo.

1.) Neural Architecture Search

[Papers]

Gradient:

Reinforcement Learning:

Evolutionary Algorithm:

SMBO:

Random Search:

Hypernetwork:

Bayesian Optimization:

Partial Order Pruning

Knowledge Distillation

[Projects]

2.) Lightweight Structures

[Papers]

Backbone:

Segmentation:

Object Detection:

3.) Model Compression & Acceleration

[Papers]

Pruning:

Quantization:

Acceleration:

[Projects]

[Tutorials/Blogs]

4.) Hyperparameter Optimization

[Papers]

[Projects]

[Tutorials/Blogs]

5.) Automated Feature Engineering

Model Analyzer

References

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