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PyTorch nn.DistributedDataParallel

October 12, 2019October 12, 2019 by admin

https://yangkky.github.io/2019/07/08/distributed-pytorch-tutorial.html

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Unsupervised Pre-Training of Image Features on Non-Curated Data (by FAIR)

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w4nderlus7Piero Molino@w4nderlus7·
8h

You can find the code already added to the @huggingface Transformers repo: https://t.co/WGnCIgay0o

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UberEngUber Engineering@UberEng·
13h

New on our blog today: Plug and Play Language Model, introduced by Uber AI Labs, gives NLP practitioners the flexibility to plug in one or more simple attribute models into a large, unconditional language model. https://t.co/fI4vi0D47A

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jobergumJo Kristian Bergum@jobergum·
19 Nov

@julien_c @rangthan 1 million inferences per second indicates using Bert distilled as a top k rerank signal and not over the entire collection.

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Shujian_LiuShujian 🍱@Shujian_Liu·
5 Dec

They cited two new papers

arXiv CS-CL@arxiv_cscl

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition https://t.co/40YC4ZZFd9

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TheGradientHossein Mobahi@TheGradient·
5 Dec

One of the most comprehensive studies of generalization to date; ≈40 complexity measures over ≈10K deep models. Surprising observations worthy of further investigations. Fantastic Generalization Measures: https://t.co/cjg94IIQbE w @yidingjiang @bneyshabur @dilipkay S. Bengio

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