Yash Savani

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 445 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yash Savani trusts overall

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

  1. Quoc V. Le
  2. Ronald J. Williams
  3. Barret Zoph
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Frank Hutter
  8. Kaiming He
  9. Karen Simonyan
  10. Willie Neiswanger

Who trusts Yash Savani overall

  1. Colin White
  2. Willie Neiswanger
  3. Sam Nolen
  4. Julien N. Siems

Papers from Yash Savani's perspective

Ordered by how strongly the researchers Yash Savani 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers