Ram Rajagopal

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ram Rajagopal trusts overall

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

  1. Eric R. Ziegel
  2. J. Urgen Schmidhuber
  3. Alex Krizhevsky
  4. Mark G. Lijesen
  5. S. Kelly
  6. Geoffrey E. Hinton
  7. Martín Abadi
  8. Latanya Sweeney
  9. Flávio du Pin Calmon
  10. Tan Minh Nguyen

Who trusts Ram Rajagopal overall

  1. Yi Wang
  2. Rory Jones
  3. Qixin Chen

Papers from Ram Rajagopal's perspective

Ordered by how strongly the researchers Ram Rajagopal 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. GENERATIVE ADVERSARIAL NETS
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Improved Techniques for Training GANs

Their papers