Deepak Chandra

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deepak Chandra trusts overall

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

  1. Alex Krizhevsky
  2. Paul A. Viola
  3. Nathan Luke Clarke

Papers from Deepak Chandra's perspective

Ordered by how strongly the researchers Deepak Chandra trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long-term recurrent convolutional networks for visual recognition and description
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Robust Real-Time Face Detection
  5. Gradient-based learning applied to document recognition
  6. Multimodal Deep Learning
  7. Multimodal learning with deep Boltzmann machines
  8. Learning Multiple Layers of Features from Tiny Images
  9. A Clockwork RNN
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers