Ethan Fast

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Ethan Fast trusts overall

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

  1. James W. Pennebaker
  2. Erez Lieberman Aiden
  3. Premkumar T. Devanbu
  4. Adam D. I. Kramer
  5. Tomas Mikolov
  6. Victor S. Sheng
  7. Andrea Esuli
  8. Scott A. Golder
  9. Bo Pang
  10. Peter D. Turney

Who trusts Ethan Fast overall

  1. Li Lucy
  2. Astrid Schepman
  3. Anjalie Field
  4. Duri Long
  5. Karolina Stańczak
  6. David Bamman
  7. Yulia Tsvetkov
  8. Sharon Levy
  9. Paul Rodway
  10. Tiziano Piccardi

Papers from Ethan Fast's perspective

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

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

Their papers