Sujay Sanghavi

Artificial Intelligence · with Shah · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Sujay Sanghavi trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Yoshua Bengio
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Sivaraman Balakrishnan
  7. Sainbayar Sukhbaatar
  8. Alec Radford
  9. Simon S. Haykin
  10. Rob Fergus

Who trusts Sujay Sanghavi overall

  1. Kawin Ethayarajh
  2. Swabha Swayamdipta
  3. Hwanjun Song
  4. Abhijeet Awasthi
  5. Yejin Choi
  6. Guotai Wang

Papers from Sujay Sanghavi's perspective

Ordered by how strongly the researchers Sujay Sanghavi 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers