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pro vyhledávání: '"Min, John"'
The importance of learning rate (LR) schedules on network pruning has been observed in a few recent works. As an example, Frankle and Carbin (2019) highlighted that winning tickets (i.e., accuracy preserving subnetworks) can not be found without appl
Externí odkaz:
http://arxiv.org/abs/2212.06144
Autor:
Min, John Tan Chong, Motani, Mehul
Publikováno v:
Proceedings of the 37th International Conference on Machine Learning, PMLR 119:9356-9366, 2020 https://proceedings.mlr.press/v119/tan20a.html
Modern deep neural networks require a significant amount of computing time and power to train and deploy, which limits their usage on edge devices. Inspired by the iterative weight pruning in the Lottery Ticket Hypothesis, we propose DropNet, an iter
Externí odkaz:
http://arxiv.org/abs/2207.06646
Autor:
Min, John Tan Chong, Motani, Mehul
Traditional reinforcement learning (RL) environments typically are the same for both the training and testing phases. Hence, current RL methods are largely not generalizable to a test environment which is conceptually similar but different from what
Externí odkaz:
http://arxiv.org/abs/2207.05991
We explore a new perspective on adapting the learning rate (LR) schedule to improve the performance of the ReLU-based network as it is iteratively pruned. Our work and contribution consist of four parts: (i) We find that, as the ReLU-based network is
Externí odkaz:
http://arxiv.org/abs/2110.08764
Autor:
Min, John B.
Publikováno v:
Croatian Journal of Philosophy. XX(60):465-488
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=921900
Akademický článek
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Autor:
Noble, Charleston, Min, John, Olejarz, Jason, Buchthal, Joanna, Chavez, Alejandro, Smidler, Andrea L., DeBenedictis, Erika A., Church, George M., Nowak, Martin A., Esvelt, Kevin M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 Apr . 116(17), 8275-8282.
Externí odkaz:
https://www.jstor.org/stable/26703502
Autor:
Yaping Wang, Pandak, Williams M., Hylemon, Phillip B., Hae-Ki Min, Min, John, Fuchs, Michael, Sanyal, Arun J., Shunlin Ren
Publikováno v:
American Journal of Physiology: Gastrointestinal & Liver Physiology; Feb2024, Vol. 326 Issue 2, pG147-G162, 16p
Akademický článek
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Autor:
David Ian Wilson, Yong Min John Chew
Fluid mechanics underpins many aspects of food engineering. The capacity to model and simulate these has grown primarily via developments in codes and numerical methods in other fields. Newtonian flows, including free surfaces, are now handled routin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7472946029eb360c64652efe3e6aa7e
https://www.repository.cam.ac.uk/handle/1810/349179
https://www.repository.cam.ac.uk/handle/1810/349179