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MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models., , , , , , , , , and . CoRR, (2023)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)Towards automated computer vision: analysis of the AutoCV challenges 2019., , , , , , , , and . Pattern Recognit. Lett., (2020)AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data., , , , and . CoRR, (2020)LEGO-Prover: Neural Theorem Proving with Growing Libraries., , , , , , , , , and 4 other author(s). CoRR, (2023)Advances in MetaDL: AAAI 2021 Challenge and Workshop., , , , , and . MetaDL@AAAI, volume 140 of Proceedings of Machine Learning Research, page 1-16. PMLR, (2021)Deep Statistical Solvers., , , , , and . NeurIPS, (2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data., , , , , , , , and . CoRR, (2024)Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis., , , , , , , , , and 4 other author(s). CoRR, (2023)