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03/11/2022
Federated Remote Physiological Measurement with Imperfect Data
The growing need for technology that supports remote healthcare is being...
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10/09/2021
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement
Camera-based physiological measurement is a growing field with neural mo...
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03/27/2021
Automated Backend-Aware Post-Training Quantization
Quantization is a key technique to reduce the resource requirement and i...
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01/20/2021
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Super-resolution (SR) is a coveted image processing technique for mobile...
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10/05/2020
MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement
There are large individual differences in physiological processes, makin...
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02/08/2020
Exploring the Memorization-Generalization Continuum in Deep Learning
Human learners appreciate that some facts demand memorization whereas ot...
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04/17/2019
Relay: A High-Level Compiler for Deep Learning
Frameworks for writing, compiling, and optimizing deep learning (DL) mod...
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04/17/2019
Relay: A High-Level IR for Deep Learning
Frameworks for writing, compiling, and optimizing deep learning (DL) mod...
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04/16/2019
Just-in-Time Dynamic-Batching
Batching is an essential technique to improve computation efficiency in ...
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07/11/2018
VTA: An Open Hardware-Software Stack for Deep Learning
Hardware acceleration is an enabler for ubiquitous and efficient deep le...
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05/21/2018
Learning to Optimize Tensor Programs
We introduce a learning-based framework to optimize tensor programs for ...
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02/12/2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
There is an increasing need to bring machine learning to a wide diversit...
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02/12/2018