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03/18/2020
Self-Supervised Contextual Bandits in Computer Vision
Contextual bandits are a common problem faced by machine learning practi...
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02/18/2020
Data Transformation Insights in Self-supervision with Clustering Tasks
Self-supervision is key to extending use of deep learning for label scar...
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12/10/2015
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums
Online discussion forums are complex webs of overlapping subcommunities ...
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12/09/2015
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting
We propose a distributed approach to train deep neural networks (DNNs), ...
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10/29/2014
High-Performance Distributed ML at Scale through Parameter Server Consistency Models
As Machine Learning (ML) applications increase in data size and model co...
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12/30/2013
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
In distributed ML applications, shared parameters are usually replicated...
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12/30/2013
Petuum: A New Platform for Distributed Machine Learning on Big Data
What is a systematic way to efficiently apply a wide spectrum of advance...
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11/10/2012