Noa Fish

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Noa Fish trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Hao Su
  5. Kaiming He
  6. Sergey Ioffe
  7. Yoshua Bengio
  8. Yangqing Jia
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Noa Fish's perspective

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

Their papers