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Paper A day

This is a repo for tracking my daily paper reading habit

Date Title First Author One Sentence Description
5-7-2021 Generating novel protein sequences using Gibbs sampling of masked language models S.R. Johnson et-al The autors describe a framework in which they use unsupervised language models such as ProtBert, ESM to sample novel protein sequences using gibbson sampling. They measure the performance of their approach purely computationally
11-7-2021 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin et-al The original paper of BERT that demonstrates the use of Bidirectional transformers for variuos uses of language understanding. BERT is an encoder-only model, and is mostly useful for creating embedding vectors for downstream learning tasks

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