James H. Martin

Artificial Intelligence · with Jurafsky · 2000–2015

A researcher in the Science corpus: 8 papers; trusts 43 researchers and is trusted by 111 researchers here, as inferred from the citation graph.

Subfields

Whom James H. Martin trusts overall

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

  1. Lawrence R. Rabiner
  2. Yoshua Bengio
  3. Daniel Gildea
  4. Martha Palmer
  5. Dekang Lin
  6. Michael Collins
  7. Karen Spärck Jones
  8. Ronan Collobert
  9. Geoffrey E. Hinton
  10. Eugene Charniak

Who trusts James H. Martin overall

  1. Been Kim
  2. Yonatan Belinkov
  3. A. Graesser
  4. Jillian Grennan
  5. Jia Liu
  6. Oriol Vinyals
  7. Xiaodong He
  8. Jiashuo Sun
  9. Scott Andrew Crossley
  10. Alessandro Moschitti

Papers from James H. Martin's perspective

Ordered by how strongly the researchers James H. Martin 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers