Auto-Learning (metalearning)

(à venir)

• Angluin Algorithm

Article de blog

• Automating Development and Optimization of Machine Learning Models

Lectures

• ATM: A distributed, collaborative, scalable system for automated machine learning (site web: ATM)

• FeatureHub: Towards collaborative data science

• Learning to learn by gradient descent by gradient descent

• Matching Networks for One Shot Learning

• Efficient and Robust Automated Machine Learning (papier derrière auto-sklearn)

• Learning Regular Sets from Queries and Counterexamples

• Neural Architecture Search With Reinforcement Learning (pdf

• ASlib: A Benchmark Library for Algorithm Selection

• MacroBase: Prioritizing Attention in Fast Data

• A Bayesian criterion for evaluating the robustness of classification rules in binary data sets

• Bayesian instance selection for the nearest neighbor rule

• One Model To Learn Them All

• DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

• A Global Optimization Algorithm Worth Using (for optimizing hyperparameters - MaxLIPO+TR) - implements Global optimization of Lipschitz functions

• Random Search for Hyper-Parameter Optimization

• Reptile: a Scalable Metalearning Algorithm

• Generating Neural Networks with Neural Networks

• Rapid Adaptation with Conditionally Shifted Neurons

• Probabilistic Matrix Factorization for Automated Machine Learning

• Auto-Keras: Efficient Neural Architecture Search with Network Morphism

• NNI / Tuners

Tutoriel

• Understanding and diagnosing your machine-learning models

POMPD

• POMDPs for Dummies

Sites

• Machine Learning for Automated Algorithm Design

Modules

• ATM

• FeatureHub

• REP

• TPOT

• auto-sklearn

• RoBO (bayésien)

• POMDPy

• auto-keras (deep learning)

• nni, il faut lire la section tuner