Sandeep R. Datta

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Sandeep R. Datta trusts overall

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

  1. Diederik P. Kingma
  2. Matthew J. Johnson
  3. Michael I. Jordan
  4. Geoffrey E. Hinton
  5. Zoubin Ghahramani
  6. Yoshua Bengio
  7. Alexander B. Wiltschko
  8. Nicolas Guex
  9. Radford M. Neal
  10. Manuel C. Peitsch

Who trusts Sandeep R. Datta overall

  1. T. Franke
  2. X. Wang
  3. Raphael Cohn
  4. K. Venken
  5. B. Pfeiffer
  6. Peter Sorrenson

Papers from Sandeep R. Datta's perspective

Ordered by how strongly the researchers Sandeep R. Datta trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers