David Bamman

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 13 papers; trusts 210 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom David Bamman trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Tomas Mikolov
  4. Diederik P. Kingma
  5. Kaiming He
  6. Alex Krizhevsky
  7. Richard Socher
  8. Christopher D. Manning
  9. Ilya Sutskever
  10. R. Rosenfeld

Who trusts David Bamman overall

  1. Jacob Eisenstein
  2. Snigdha Chaturvedi
  3. Dong Nguyen
  4. Lucie Flekova
  5. Dirk Hovy
  6. Lea Frermann
  7. Philip John Gorinski
  8. Zeerak Talat
  9. Li Lucy
  10. Pradyumna Tambwekar

Papers from David Bamman's perspective

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

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

Their papers