58 citations · 112 across the 4 of their papers we have counts for
4 papers
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao Wang, Chen Yu +3
Deep model compression has been extensively studied, and state-of-the-art methods can now achieve high compression ratios with minimal accuracy loss. This paper studies model compr…
Distributed Learning over Unreliable Networks
Chen Yu, Hanlin Tang, Cedric Renggli +5
Most of today's distributed machine learning systems assume {\em reliable networks}: whenever two machines exchange information (e.g., gradients or models), the network should guar…
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Chen Yu, Bojan Karlas, Jie Zhong +2
AutoML has become a popular service that is provided by most leading cloud service providers today. In this paper, we focus on the AutoML problem from the \emph{service provider's…
Detecting User Engagement in Everyday Conversations
Chen Yu, Paul M. Aoki, Allison Woodruff
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin…