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10/07/2022
A Closer Look at Hardware-Friendly Weight Quantization
Quantizing a Deep Neural Network (DNN) model to be used on a custom acce...
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03/24/2022
TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning
Informative path planning is an important and challenging problem in rob...
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03/18/2022
On the Generalization Mystery in Deep Learning
The generalization mystery in deep learning is the following: Why do ove...
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02/08/2021
Enabling Binary Neural Network Training on the Edge
The ever-growing computational demands of increasingly complex machine l...
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02/02/2021
Apollo: Transferable Architecture Exploration
The looming end of Moore's Law and ascending use of deep learning drives...
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08/03/2020
Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment
We propose a new metric (m-coherence) to experimentally study the alignm...
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03/16/2020
Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients
Coherent Gradients is a recently proposed hypothesis to explain why over...
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02/25/2020