John F. J. Mellor

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 7 papers; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John F. J. Mellor trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Alec Radford
  10. Alex Graves

Who trusts John F. J. Mellor overall

  1. Ding Jiang

Papers from John F. J. Mellor's perspective

Ordered by how strongly the researchers John F. J. Mellor 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. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers