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Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019., , , , , , , , , and 15 other author(s). CoRR, (2022)Bag of Tricks for Neural Architecture Search., , , , and . CoRR, (2021)Neural Architecture Search: Insights from 1000 Papers., , , , , , , and . CoRR, (2023)Neural Ensemble Search for Performant and Calibrated Predictions., , , , , and . CoRR, (2020)Smooth Variational Graph Embeddings for Efficient Neural Architecture Search., , , , and . IJCNN, page 1-8. IEEE, (2021)AutoDispNet: Improving Disparity Estimation With AutoML., , , , and . ICCV, page 1812-1823. IEEE, (2019)Understanding and Robustifying Differentiable Architecture Search., , , , , and . CoRR, (2019)Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks., , , , , and . ICLR, OpenReview.net, (2022)Understanding and Robustifying Differentiable Architecture Search., , , , , and . ICLR, OpenReview.net, (2020)