HyperSTAR: Task-Aware Hyperparameter Recommendation for Training and Compression

Author:

Liu ChangORCID,Mittal Gaurav,Karianakis Nikolaos,Fragoso Victor,Yu Ye,Fu Yun,Chen Mei

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference72 articles.

1. Achille, A., Lam, M., & Tewari, R. et al. (2019). Task2vec: Task embedding for meta-learning. In Proceeding of IEEE ICCV.

2. Bardenet, R., Brendel, M., & Kégl, B., et al. (2013). Collaborative hyperparameter tuning. In Proceedings of ICML.

3. Bergstra, J., & Bengio, Y. (2012). Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13(Feb), 281–305.

4. Bossard, L., Guillaumin, M., & Van Gool, L. (2014). Food-101-mining discriminative components with random forests. In Proceedings of ECCV.

5. Chen, W., Liu, T. Y., & Lan, Y., et al. (2009). Ranking measures and loss functions in learning to rank. In Proceeding of NeurIPS.

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