Nicholas Andrews

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Andrews trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. J. Urgen Schmidhuber
  9. Ilya Sutskever
  10. Kyunghyun Cho

Who trusts Nicholas Andrews overall

  1. Anna Rogers
  2. Alexander M. Rush
  3. Victor Sanh
  4. Hassan Sajjad
  5. Fahim Dalvi
  6. Nadir Durrani

Papers from Nicholas Andrews's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers