Micah Hodosh

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 7 papers; trusts 686 researchers and is trusted by 4,155 researchers here, as inferred from the citation graph.

Subfields

Whom Micah Hodosh trusts overall

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

  1. Geoffrey E. Hinton
  2. David G. Lowe
  3. Peter Young
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Kaiming He
  9. Ilya Sutskever
  10. Richard Socher

Who trusts Micah Hodosh overall

  1. Xinlei Chen
  2. Qi Wu
  3. Zhe Gan
  4. C. Lawrence Zitnick
  5. Ryan Kiros
  6. Yi Yang
  7. Kyunghyun Cho
  8. Yoshua Bengio
  9. Andrej Karpathy
  10. Chunhua Shen

Papers from Micah Hodosh's perspective

Ordered by how strongly the researchers Micah Hodosh 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers