Pranav Shyam

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 9 papers; trusts 204 researchers and is trusted by 89 researchers here, as inferred from the citation graph.

Subfields

Whom Pranav Shyam trusts overall

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

  1. J. Urgen Schmidhuber
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Diederik P. Kingma
  5. Richard S. Sutton
  6. Yoshua Bengio
  7. Volodymyr Mnih
  8. Sepp Hochreiter
  9. Alex Krizhevsky
  10. Ronald J. Williams

Who trusts Pranav Shyam overall

  1. Sergey Levine
  2. Antreas Antoniou
  3. J. Urgen Schmidhuber
  4. Jason Zhi Liang
  5. Brandon Amos
  6. Yaqing Wang
  7. Chelsea Finn
  8. Kavosh Asadi
  9. Kelvin Xu
  10. Pawel Ladosz

Papers from Pranav Shyam's perspective

Ordered by how strongly the researchers Pranav Shyam 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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