Nadathur Rajagopalan Satish

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 13 papers; trusts 64 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Nadathur Rajagopalan Satish trusts overall

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

  1. Geoffrey E. Hinton
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Mark J. Harris
  5. Ilya Sutskever
  6. Radford M. Neal
  7. Alex Krizhevsky
  8. John R. Nickolls
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Nadathur Rajagopalan Satish overall

  1. Jianbin Fang
  2. Laura Monroe
  3. Victor W. Lee
  4. Jatin Chhugani
  5. Tae Jun Ham
  6. Christopher R. Aberger
  7. Akiko Eriguchi
  8. Michalis K. Titsias
  9. Ana Lucia Varbanescu
  10. Joanne Wendelberger

Papers from Nadathur Rajagopalan Satish's perspective

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

Their papers