Shi Zhenmei, Wei, Junyi, and Liang, Yingyu. A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. Retrieved from https://par.nsf.gov/biblio/10358913. International Conference on Learning Representations .
Shi Zhenmei, Wei, Junyi, & Liang, Yingyu. A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. International Conference on Learning Representations, (). Retrieved from https://par.nsf.gov/biblio/10358913.
Shi Zhenmei, Wei, Junyi, and Liang, Yingyu.
"A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features". International Conference on Learning Representations (). Country unknown/Code not available. https://par.nsf.gov/biblio/10358913.
@article{osti_10358913,
place = {Country unknown/Code not available},
title = {A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features},
url = {https://par.nsf.gov/biblio/10358913},
abstractNote = {},
journal = {International Conference on Learning Representations},
author = {Shi Zhenmei and Wei, Junyi and Liang, Yingyu},
}
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