P. Rahul

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Rahul trusts overall

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

  1. Alex Graves
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Razvan Pascanu
  5. Geoffrey E. Hinton
  6. J. Urgen Schmidhuber
  7. Ronan Collobert
  8. Tomas Mikolov
  9. Junyoung Chung
  10. Ilya Sutskever

Papers from P. Rahul's perspective

Ordered by how strongly the researchers P. Rahul 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. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers