Pranav Maneriker

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pranav Maneriker trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Graves
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Ian J. Goodfellow
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Papers from Pranav Maneriker's perspective

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

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

Their papers