Steven Hamblin

Artificial Intelligence · with Hammerla · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Hamblin trusts overall

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

  1. Tomas Mikolov
  2. Manaal Faruqui
  3. J. Ross Quinlan

Who trusts Steven Hamblin overall

  1. Mikel Artetxe
  2. Ivan Vulic
  3. Anne Lauscher
  4. Sebastian Ruder
  5. Shijie Wu
  6. Gorka Labaka
  7. Alexis Conneau
  8. Goran Glavas
  9. David Alvarez-Melis
  10. Zeljko Agic

Papers from Steven Hamblin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Exploiting Similarities among Languages for Machine Translation
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers