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PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
Lossy gradient compression has become a practical tool to overcome the c...
08/04/2020 ∙ by Thijs Vogels, et al. ∙
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On the Tunability of Optimizers in Deep Learning
There is no consensus yet on the question whether adaptive gradient meth...
10/25/2019 ∙ by Prabhu Teja Sivaprasad, et al. ∙
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PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
We study gradient compression methods to alleviate the communication bot...
05/31/2019 ∙ by Thijs Vogels, et al. ∙
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Web2Text: Deep Structured Boilerplate Removal
Web pages are a valuable source of information for many natural language...
01/08/2018 ∙ by Thijs Vogels, et al. ∙
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