Sunil Kumar Sahu

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 Sunil Kumar Sahu 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 Sunil Kumar Sahu's perspective

Ordered by how strongly the researchers Sunil Kumar Sahu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers