Moitreya Chatterjee

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 199 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Moitreya Chatterjee trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Diederik P. Kingma

Who trusts Moitreya Chatterjee overall

  1. Yang He
  2. Ben Mussay
  3. Percy Liang
  4. Ping Liu
  5. Amir Zadeh
  6. Frederick Tung
  7. Mingjie Sun
  8. Deniz Oktay
  9. Nimit Sharad Sohoni

Papers from Moitreya Chatterjee's perspective

Ordered by how strongly the researchers Moitreya Chatterjee 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. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers