Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution-Reference-Cited by-同舟云学术

Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Whitaker Tim¹^ORCID,Whitley Darrell¹^ORCID

Affiliation:

1. Colorado State University, Fort Collins, United States of America

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3590705

Reference12 articles.

1. A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams

2. Mirrored Sampling and Sequential Selection for Evolution Strategies

3. Shauharda Khadka and Kagan Tumer . 2018 . Evolution-Guided Policy Gradient in Reinforcement Learning. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R . Garnett (Eds.) , Vol. 31 . Curran Associates, Inc. https://proceedings.neurips.cc/paper/ 2018/file/85fc37b18c57097425b52fc7afbb6969-Paper.pdf Shauharda Khadka and Kagan Tumer. 2018. Evolution-Guided Policy Gradient in Reinforcement Learning. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.), Vol. 31. Curran Associates, Inc. https://proceedings.neurips.cc/paper/2018/file/85fc37b18c57097425b52fc7afbb6969-Paper.pdf

4. Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization . In Proceedings of the 3rd International Conference on Learning Representations (ICLR). Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. In Proceedings of the 3rd International Conference on Learning Representations (ICLR).