Brian L. Hie

Molecular Biology · 2019–2024

A researcher in the Science corpus: 7 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Brian L. Hie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. F. Alexander Wolf
  2. Moses Charikar
  3. Sean R. Eddy
  4. S. Harrison
  5. Leland McInnes
  6. Tristan Bepler
  7. Baris E. Suzek
  8. Philipp Angerer
  9. Alexander Rives
  10. Fabian J Theis

Who trusts Brian L. Hie overall

  1. Audrey A. Burnim
  2. Kevin Kaichuang Yang
  3. Jeffrey A. Ruffolo
  4. Tim Stuart
  5. Chenling A. Xu
  6. Adam Gayoso
  7. Hoa T M Tran
  8. Romain Lopez
  9. Lukas Heumos
  10. Stephen R. Quake

Papers from Brian L. Hie's perspective

Ordered by how strongly the researchers Brian L. Hie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers