Sidak Pal Singh

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 445 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Sidak Pal Singh trusts overall

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

  1. James Martens
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Kaiming He
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Sidak Pal Singh overall

  1. Elias Frantar
  2. Dan Alistarh
  3. Samuel K. Ainsworth
  4. Saleh Ashkboos
  5. Hongyi Wang
  6. Eugenia Iofinova
  7. Huan Wang
  8. Prateek Yadav
  9. Lingling Xu
  10. Samuel Horváth

Papers from Sidak Pal Singh's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers