Andrew Gaut

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Gaut trusts overall

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

  1. Jieyu Zhao
  2. Tomas Mikolov
  3. J. Fleiss
  4. N. Kambhatla
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Rachel Rudinger
  10. Svetlana Kiritchenko

Who trusts Andrew Gaut overall

  1. Sunipa Dev
  2. Emily Dinan
  3. Eduard H. Hovy
  4. Hannah Devinney
  5. Anjalie Field
  6. Karolina Stańczak
  7. Prasanna Parasurama
  8. Percy Liang

Papers from Andrew Gaut's perspective

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

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

Their papers