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03/16/2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
Searching for the architecture cells is a dominant paradigm in NAS. Howe...
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12/13/2021
Long-tail Recognition via Compositional Knowledge Transfer
In this work, we introduce a novel strategy for long-tail recognition th...
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11/08/2021
Approximate Neural Architecture Search via Operation Distribution Learning
The standard paradigm in Neural Architecture Search (NAS) is to search f...
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11/05/2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
State-of-the-art results in deep learning have been improving steadily, ...
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12/28/2019
NAS evaluation is frustratingly hard
Neural Architecture Search (NAS) is an exciting new field which promises...
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03/02/2017
Encrypted accelerated least squares regression
Information that is stored in an encrypted format is, by definition, usu...
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08/27/2015
Encrypted statistical machine learning: new privacy preserving methods
We present two new statistical machine learning methods designed to lear...
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08/26/2015
