Ravi Netravali

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ravi Netravali trusts overall

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

  1. Richard S. Sutton
  2. Radford M. Neal
  3. Keith Winstein
  4. P. Pardalos
  5. Volodymyr Mnih
  6. Xavier Glorot
  7. Bob Lantz
  8. Anirudh Sivaraman
  9. Yoshua Bengio
  10. Andrew Barto

Who trusts Ravi Netravali overall

  1. Hongzi Mao
  2. Venkat Arun
  3. Francis Y. Yan
  4. Abdelhak Bentaleb
  5. Yuanqi Li
  6. Chaoyun Zhang
  7. Mo Dong
  8. Anis Elgabli
  9. Feng Qian
  10. Hari Balakrishnan

Papers from Ravi Netravali's perspective

Ordered by how strongly the researchers Ravi Netravali 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Asynchronous Methods for Deep Reinforcement Learning
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers