Saurabh Shintre

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh Shintre trusts overall

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

  1. Ian J. Goodfellow
  2. Nicolas Papernot
  3. Yarin Gal
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Zoubin Ghahramani
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Saurabh Shintre overall

  1. Jonathan Brophy
  2. Daniel Lowd
  3. Nicholas Carlini
  4. David Stutz
  5. S. Murray
  6. Jamie Hayes
  7. Xingjun Ma
  8. Eric Wong
  9. Xuanqing Liu
  10. Mahmood Sharif

Papers from Saurabh Shintre's perspective

Ordered by how strongly the researchers Saurabh Shintre 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers