Deepesh Data

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 12 papers; trusts 134 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Deepesh Data trusts overall

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

  1. E.J. Candes
  2. L. Eon Bottou
  3. Joseph Dean
  4. Jakub Konecný
  5. Mehmet Akçakaya
  6. Can Bülent Karakus
  7. Muthu Dayalan
  8. Lingjiao Chen
  9. Peter Richtárik
  10. Terence Tao

Who trusts Deepesh Data overall

  1. Suhas N. Diggavi
  2. Linqi Song
  3. Sai Praneeth Karimireddy
  4. Ahmed Khaled
  5. Shashank Rajput
  6. Aidmar Wainakh
  7. Zachary B. Charles
  8. Lie He
  9. Peter Kairouz
  10. Farzin Haddadpour

Papers from Deepesh Data's perspective

Ordered by how strongly the researchers Deepesh Data 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  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