Jayashree Kalpathy-Cramer

Artificial Intelligence · 2012–2023

A researcher in the Science corpus: 17 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jayashree Kalpathy-Cramer trusts overall

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

  1. Praneeth Vepakomma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Kaiming He
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Robert A. Jacobs
  9. Adam Coates
  10. David G. Lowe

Papers from Jayashree Kalpathy-Cramer's perspective

Ordered by how strongly the researchers Jayashree Kalpathy-Cramer 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. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers