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03/04/2023
Learning Label Encodings for Deep Regression
Deep regression networks are widely used to tackle the problem of predic...
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12/04/2022
Label Encoding for Regression Networks
Deep neural networks are used for a wide range of regression problems. H...
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10/17/2021
Characterizing and Improving the Resilience of Accelerators in Autonomous Robots
Motion planning is a computationally intensive and well-studied problem ...
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01/07/2020
Sparse Weight Activation Training
Training convolutional neural networks (CNNs) is time-consuming. Prior w...
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01/19/2019
Surface Compression Using Dynamic Color Palettes
Off-chip memory traffic is a major source of power and energy consumptio...
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01/14/2017
HoLiSwap: Reducing Wire Energy in L1 Caches
This paper describes HoLiSwap a method to reduce L1 cache wire energy, a...
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06/06/2016
