Saurabh N. Adya

Artificial Intelligence · 2003–2021

A researcher in the Science corpus: 2 papers; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh N. Adya trusts overall

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

  1. Mingxing Tan
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Quoc V. Le
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Saurabh N. Adya's perspective

Ordered by how strongly the researchers Saurabh N. Adya 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers