Gabriel Goh

Computer Vision and Pattern Recognition · with Olah · 2019–2021

A researcher in the Science corpus: 8 papers; trusts 268 researchers and is trusted by 1,353 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel Goh trusts overall

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

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

Who trusts Gabriel Goh overall

  1. Pei Wang
  2. Yijun Li
  3. Renrui Zhang
  4. Aditya Ramesh
  5. Omri Avrahami
  6. Mohit Shridhar
  7. Alex Nichol
  8. Kevin Black
  9. Zhe Gan
  10. Prafulla Dhariwal

Papers from Gabriel Goh's perspective

Ordered by how strongly the researchers Gabriel Goh 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. 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers