Michael Heilman

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Heilman trusts overall

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

  1. Michael Collins
  2. Daniel Klein
  3. Vladimir Naumovich Vapni
  4. David Ruppert
  5. Christopher D. Manning
  6. William B. Dolan
  7. Dipanjan Das
  8. Mitchell P. Marcus
  9. Nancy Ide
  10. Andreas Stolcke

Who trusts Michael Heilman overall

  1. Aliaksei Severyn
  2. Xinya Du
  3. Hua He
  4. Ying-Hong Chan
  5. Di Wang
  6. ZiYun Wang
  7. Katherine Stasaski
  8. Sebastian Riedel
  9. Patrick Lewis
  10. Wenpeng Yin

Papers from Michael Heilman's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers