This repo. is for MAT(meta-AI Team) in 2nd Dacrew as dacon supporters. We are studying about AutoML and write some contents in Korean.
In this page, you can get the contents list of the MAT and the links for the contents.
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1편) AutoML이란 무엇일까 [MIA-khm]
- 1-1편) Search Strategy [woojin-heo]
- 1-2편) Performance Estimation Strategies [0525hhgus]
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2편) HPO(Hyper-parameter optimization)란 무엇일까 [nsbg]
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3편) NAS(Network Archtecture Search)란 무엇일까 [mihosang]
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HPO(Hyper-parameter Optimization)
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4-1편) HPO알아보기: (1) Grid Search [woojin-heo]
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4-2편) HPO알아보기: (2) Random Search [0525hhgus]
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4-3편) HPO알아보기: (3) Bayesian Search [mihosang]
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Simple Survey [nsbg]
- 4-4-1편) HPO(PSO) 논문 읽어보기 [mihosang]
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization
- 4-4-2편) HPO(uDeas) 논문 읽어보기 [nsbg]
Hyperparameter optimization of deep neural network using univariate dynamic encoding algorithm for searches
- 4-4-3편) HPO(강화학습) 논문 읽어보기 [woojin-heo]
Efficient hyperparameter optimization through model-based reinforcement learning
- 4-4-4편) HPO(Population-based Bandit Optimization) 논문 읽어보기 [0525hhgus]
Provable Efficient Online hyperparameter optimization with population-based bandits
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NAS(Network Archtecture Search)
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5-1편) NAS알아보기: (1) Evolutionary Algorithm based Method [woojin-heo]
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5-2편) NAS알아보기: (2) Reinforcement Learning based Method [mihosang]
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5-3편) NAS알아보기: (3) Gradient Descent based Method [0525hhgus]
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5-4편) Simple Survey [nsbg]
- 5-4-1편) NAS(확률기반) 논문 읽어보기 [0525hhgus]
Probabilistic Neural Architecture Search
- 5-4-2편) NAS(Evolutionary) 논문 읽어보기 [woojin-heo]
CARS: Continuous Evolution for Efficient Neural Architecture Search
- 5-4-3편) NAS(Batch Normalization) 논문 읽어보기 [nsbg]
BN-NAS: Neural Architecture Search with Batch Normalization
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- 실전 AutoML 1탄-PyCaret 사용해보기 [0525hhgus]
- 실전 AutoML 1탄-Auto-Sklearn 사용해보기 [woojin-heo]
- 실전 AutoML 1탄-AutoKeras 사용해보기 [nsbg]
- 실전 AutoML 1탄-FLAML 사용해보기 [mihosang]
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- 실전 AutoML 2탄-EDA
- 실전 AutoML 2탄: Pycaret [0525hhgus]
- 실전 AutoML 2탄: AutoSklearn [woojin-heo]
- 실전 AutoML 2탄:AutoKeras [nsbg]
- 실전 AutoML 2탄:FLAML [mihosang]
- Written and edited: 2022.03~2022.06
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