Matthew Honnibal

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Honnibal trusts overall

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

  1. Joakim Nivre
  2. Chris Dyer
  3. Miguel Ballesteros
  4. Thorsten Joachims
  5. Silviu Cucerzan
  6. Roberto Navigli
  7. Wang Ling

Who trusts Matthew Honnibal overall

  1. Antoine Miech
  2. Rowan Zellers
  3. Jesse Vig
  4. Zijian Wang
  5. Sanjay Subramanian
  6. Tsu-Jui Fu
  7. Rachel Rudinger
  8. Juliano Rabelo
  9. Matan Eyal
  10. Alessandra Cervone

Papers from Matthew Honnibal's perspective

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

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

Their papers