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Geometry-Aware Gradient Algorithms for Neural Architecture Search.

, , , и . CoRR, (2020)

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Другие публикации лиц с тем же именем

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning., , , и . CoRR, (2019)Rethinking Neural Operations for Diverse Tasks., , , , , и . NeurIPS, стр. 15855-15869. (2021)On Data Efficiency of Meta-learning., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1369-1377. PMLR, (2021)Geometry-Aware Gradient Algorithms for Neural Architecture Search., , , и . CoRR, (2020)A System for Massively Parallel Hyperparameter Tuning., , , , , , , и . MLSys, mlsys.org, (2020)Towards Efficient Automated Machine Learning.. Carnegie Mellon University, USA, (2021)Cross-Modal Fine-Tuning: Align then Refine., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 31030-31056. PMLR, (2023)Random Search and Reproducibility for Neural Architecture Search., и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 367-377. AUAI Press, (2019)Geometry-Aware Gradient Algorithms for Neural Architecture Search., , , и . ICLR, OpenReview.net, (2021)Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing., , , , , , и . NeurIPS, стр. 19184-19197. (2021)