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04/20/2023
LA3: Efficient Label-Aware AutoAugment
Automated augmentation is an emerging and effective technique to search ...
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05/05/2022
Leveraging Application Data Constraints to Optimize Database-Backed Web Applications
Exploiting the relationships among data, such as primary and foreign key...
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08/15/2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
We propose a novel variant of SGD customized for training network archit...
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10/31/2019
ALERT: Accurate Learning for Energy and Timeliness
An increasing number of software applications incorporate runtime Deep N...
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10/31/2019
ALERT: Accurate Anytime Learning for Energy and Timeliness
An increasing number of software applications incorporate runtime Deep N...
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06/26/2019
Proceedings of the 11th Asia-Europe Workshop on Concepts in Information Theory
This year, 2019 we celebrate 30 years of our friendship between Asian an...
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01/21/2019
A construction of UD k-ary multi-user codes from (2^m(k-1)+1)-ary codes for MAAC
In this paper, we proposed a construction of a UD k-ary T-user coding sc...
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05/15/2018
Aggregating multiple types of complex data in stock market prediction: A model-independent framework
The increasing richness in volume, and especially types of data in the f...
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10/20/2017