Gabriel Goh

Artificial Intelligence · with Chen · 2021–2024

A researcher in the Science corpus: 4 papers; trusts 138 researchers and is trusted by 642 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. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Christian Szegedy

Who trusts Gabriel Goh overall

  1. Renrui Zhang
  2. Zhe Gan
  3. Nicholas Carlini
  4. Junnan Li
  5. Bo Li
  6. Mitchell Wortsman
  7. Haotian Liu
  8. Alex Nichol
  9. Andreas Blattmann
  10. Axel Sauer

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

Their papers