Arnab Paul

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arnab Paul trusts overall

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

  1. Geoffrey E. Hinton
  2. Ruslan Salakhutdinov
  3. Yoshua Bengio
  4. G. Fiquet
  5. Alex Krizhevsky
  6. Radford M. Neal
  7. Yann LeCun
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Christian Szegedy

Papers from Arnab Paul's perspective

Ordered by how strongly the researchers Arnab Paul 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. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers