Nigel Collier

Artificial Intelligence · with Pilehvar · 2000–2017

A researcher in the Science corpus: 8 papers; trusts 120 researchers and is trusted by 32 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. Peter D. Turney
  3. Burr Settles
  4. Roberto Navigli
  5. Tomas Mikolov
  6. Yoshua Bengio
  7. Richard Socher
  8. Vladimir Naumovich Vapnik
  9. Masashi Sugiyama
  10. Thorsten Joachims

Who trusts Nigel Collier overall

  1. Mohammad Taher Pilehvar
  2. José Camacho-Collados
  3. Burr Settles
  4. Jin-Dong Kim
  5. Tomoko Ohta
  6. Shaodian Zhang
  7. Martin Krallinger
  8. Junichi Tsujii
  9. Michael Krauthammer
  10. Mark Neumann

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. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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