Tom Gibbs

Molecular Biology · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Gibbs trusts overall

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

  1. Burkhard Rost
  2. Geoffrey E. Hinton
  3. Chin-Yew Lin
  4. Yoshua Bengio
  5. Jacob Devlin
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Tomas Mikolov

Papers from Tom Gibbs's perspective

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

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

Their papers