Nigel Collier

Artificial Intelligence · North American Chapter of the Association for Computational Linguistics · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 552 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nigel Collier trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Oriol Vinyals
  9. Alex Graves
  10. Jimmy Ba

Who trusts Nigel Collier overall

  1. Lifu Huang
  2. Ying Shen
  3. Zhiyang Xu
  4. Tatsunori B. Hashimoto

Papers from Nigel Collier's perspective

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

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

Their papers