AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data, 2020. ,
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL, 2020. ,
Do we Need Hundreds of Classifiers to Solve Real World Classification Problems, p.49 ,
Efficient Neural Architecture Search via Parameter Sharing, 2018. ,
, Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search, 2020.
Regularized Evolution for Image Classifier Architecture Search, 2018. ,
Searching for activation functions, 2018. ,
Accurate, large minibatch SGD: training imagenet in 1 hour, CoRR, 2017. ,
, , 2020.
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows, 2019. ,
scikit-optimize/scikit-optimize: v0.5.2, 2018. ,
Horovod: fast and easy distributed deep learning in TensorFlow, 2018. ,
Openml-python: an extensible python api for openml, 2019. ,
The uci kdd archive, 1999. ,
Airlines dataset inspired in the regression dataset from elena ikonomovska. the task is to predict whether a given flight will be delayed, given the information of the scheduled departure, 2009. ,
Analysis of the automl challenge series, AutoML, ser. Springer series on Challenges in Machine Learning, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01906197
Adam: A Method for Stochastic Optimization, 2017. ,
, Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour, 2018.
data 2k.zip, 2020. ,
, Neural Architecture Search with Reinforcement Learning, 2016.
Learning Transferable Architectures for Scalable Image Recognition, 2017. ,
, Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search, 2018.
NAS-BENCH-1SHOT1: BENCH-MARKING AND DISSECTING ONE-SHOT NEURAL ARCHITEC-TURE SEARCH, p.20, 2020. ,
Rethinking Performance Estimation in Neural Architecture Search, 2020. ,
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on -SC '19, pp.1-33, 2019. ,
, Neural Architecture Search without Training, 2020.
Auto-sklearn 2.0: The next generation, 2020. ,
Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms, Proc. of KDD-2013, pp.847-855 ,
, , 2017.
Evaluation of a tree-based pipeline optimization tool for automating data science, Proceedings of the Genetic and Evolutionary Computation Conference 2016, ser. GECCO '16, pp.485-492, 2016. ,
An open source automl benchmark, AutoML Workshop at ICML 2019, 2019. ,