Nicholas Roberts

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Roberts trusts overall

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

  1. Jiwei Li
  2. Geoffrey E. Hinton
  3. Jacob Devlin
  4. Myle Ott
  5. Kyunghyun Cho
  6. Rafael Müller
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Graham Neubig

Papers from Nicholas Roberts's perspective

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

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

Their papers