J. Gabriel

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 466 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Gabriel trusts overall

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

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

Who trusts J. Gabriel overall

  1. Ao Wang
  2. Danfeng Qin

Papers from J. Gabriel's perspective

Ordered by how strongly the researchers J. Gabriel 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers