Yun S. Song
Molecular Biology · 2011–2020
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 96 citations into it; #4,984 of 17,773 by trust here, #4,377 by citations
- Computational Biology & Bioinformatics — 61 citations into it
- Genetics — 32 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Yun S. Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yun S. Song overall
- Anders Albrechtsen
- A. Singh
- B. Singh
- James Taylor
- Anton Nekrutenko
- J. Meisner
- Torsten Günther
- Graham Coop
- Yan V. Sun
- Yijuan Hu
Papers from Yun S. Song's perspective
Ordered by how strongly the researchers Yun S. Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Recurrent neural network based language model
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- Basic local alignment search tool.
- Identification of common molecular subsequences.
- Profile hidden Markov models
Their papers
- Evaluating Protein Transfer Learning with TAPE (2019) — 1,047 citations
- Genotype and SNP calling from next-generation sequencing data (2011) — 1,450 citations
- Single Layers of Attention Suffice to Predict Protein Contacts (2020) — 35 citations
- Robust and scalable inference of population history from hundreds of unphased whole-genomes (2016) — 822 citations