Nissan Pow

Natural Language Processing · 2015

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Nissan Pow trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Jeffrey Pennington
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Richard Socher
  7. J. E. Ramos
  8. Jason Aaron Edward Weston
  9. Matthew Henderson
  10. Antoine Bordes

Who trusts Nissan Pow overall

  1. Iulian Serban
  2. Tong Niu
  3. Ryan J. Lowe
  4. Tom Young
  5. Samuel Humeau
  6. Congzheng Song
  7. Tianxing He
  8. Mohit Bansal
  9. Yu Wu
  10. Jason Aaron Edward Weston

Papers from Nissan Pow's perspective

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

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

Their papers