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02/08/2023
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation
Semi-supervised knowledge distillation is a powerful training paradigm f...
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10/13/2022
Weighted Distillation with Unlabeled Examples
Distillation with unlabeled examples is a popular and powerful method fo...
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10/03/2022
Robust Active Distillation
Distilling knowledge from a large teacher model to a lightweight one is ...
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10/20/2021
Fast Bitmap Fit: A CPU Cache Line friendly memory allocator for single object allocations
Applications making excessive use of single-object based data structures...
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06/16/2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Deep Learning has revolutionized the fields of computer vision, natural ...
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10/05/2020
An Easy-to-Use-and-Deploy Grid Computing Framework
A few grid-computing tools are available for public use. However, such s...
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11/13/2019
Learning from a Teacher using Unlabeled Data
Knowledge distillation is a widely used technique for model compression....
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03/04/2019