Jesse Farebrother

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jesse Farebrother trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Richard S. Sutton
  4. Alex Nichol
  5. Xavier Glorot
  6. Alex Krizhevsky
  7. Marc G. Bellemare
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Chelsea Finn

Who trusts Jesse Farebrother overall

  1. Ilya Kostrikov
  2. Roberta Raileanu
  3. Rishabh Agarwal
  4. Kimin Lee
  5. Zhuang Liu
  6. Denis Yarats
  7. Sam Powers
  8. Rob Fergus
  9. Maxwell Goldstein
  10. Karl Cobbe

Papers from Jesse Farebrother's perspective

Ordered by how strongly the researchers Jesse Farebrother 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers