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Writing code for NLP Research (Allen AI)

January 9, 2019January 9, 2019 by admin

https://github.com/allenai/writing-code-for-nlp-research-emnlp2018/blob/master/writing_code_for_nlp_research.pdf

Categories nlp Tags nlp
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Deep Learning for NLP Best Practices (Sebastian Ruder)
Text vectorization tool to outperform TFIDF for classification tasks

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arxiv_in_reviewarXiv in review@arxiv_in_review·
7 Jan

#NeurIPS2020 Parameterized Explainer for Graph Neural Network. (arXiv:2011.04573v1 [cs\.LG] CROSS LISTED) http://arxiv.org/abs/2011.04573

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facebookaiFacebook AI@facebookai·
24 Dec

We’re open-sourcing a new system to train computer vision models using Transformers. Data-efficient image Transformers (DeiT) is a high-performance image classification model requiring less data & computing resources to train than previous AI models. https://ai.facebook.com/blog/data-efficient-image-transformers-a-promising-new-technique-for-image-classification/

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slashML/MachineLearning@slashML·
11 Nov

Long Range Arena: A Benchmark for Efficient Transformers https://www.reddit.com/r/MachineLearning/comments/jrxe8b/r_long_range_arena_a_benchmark_for_efficient/

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JoeBidenJoe Biden@JoeBiden·
7 Nov

America, I’m honored that you have chosen me to lead our great country.

The work ahead of us will be hard, but I promise you this: I will be a President for all Americans — whether you voted for me or not.

I will keep the faith that you have placed in me.

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BrentToderianBrent Toderian@BrentToderian·
5 Nov

How to mislead with maps.
(Land doesn’t vote — people do.)

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