Martin Raison

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Raison trusts overall

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

  1. Jason Aaron Edward Weston
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Tomas Mikolov
  5. Richard Socher
  6. Christopher D. Manning
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Martin Raison overall

  1. Kurt Shuster
  2. Samuel Humeau
  3. Jason Aaron Edward Weston
  4. Stephen Roller
  5. Minjoon Seo
  6. Leon Weber
  7. Emily Dinan
  8. Eric Michael Smith
  9. Da Ju
  10. Prithviraj Ammanabrolu

Papers from Martin Raison's perspective

Ordered by how strongly the researchers Martin Raison 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. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  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