Raymond Fok

Artificial Intelligence · 2020

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

Subfields

Whom Raymond Fok trusts

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

  1. Zachary Chase Lipton (in Artificial Intelligence)

Papers from Raymond Fok's perspective

Ordered by how strongly the researchers Raymond Fok 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers