Farley Lai

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 501 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Farley Lai trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Li Fei-Fei
  9. Oriol Vinyals
  10. Justin Johnson

Who trusts Farley Lai overall

  1. Ronghang Hu
  2. Sarah Wiegreffe
  3. Zhe Gan
  4. Yen-Chun Chen
  5. Ana Marasovic
  6. Virginie Do
  7. Oana-Maria Camburu
  8. Linjie Li
  9. Amanpreet Singh
  10. Bodhisattwa Prasad Majumder

Papers from Farley Lai's perspective

Ordered by how strongly the researchers Farley Lai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers