Valliappa Chockalingam

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Valliappa Chockalingam trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. J. Urgen Schmidhuber
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Wojciech Zaremba
  8. G. Tesauro
  9. Richard S. Sutton
  10. Diederik P. Kingma

Who trusts Valliappa Chockalingam overall

  1. Alexey Dosovitskiy
  2. Sergey Levine
  3. Vladlen Koltun
  4. Emilio Parisotto
  5. Chelsea Finn
  6. Junhyuk Oh
  7. Alexander Toshev
  8. Ruslan Salakhutdinov
  9. Fereshteh Sadeghi
  10. Mikael Henaff

Papers from Valliappa Chockalingam's perspective

Ordered by how strongly the researchers Valliappa Chockalingam 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers