This newsletter discusses accelerating science, memorizing vs learning to look things up, and a Schmidhuber-centric view of the last decade. It also features slides on transfer learning and Deep Learning essentials, multiple translation corpora (speech-to-text, comprehensive translations for language learning), a Greek BERT, and ARC. Finally, it includes the blog posts and papers that I particularly enjoyed reading over the past months, including the Illustrated Reformer and the Annotated GPT-2, an analysis of NLP and ML papers in 2019, and oLMpics.
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