Prabhat

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 7 papers; trusts 57 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Prabhat trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Ruslan Salakhutdinov

Who trusts Prabhat overall

  1. Chaopeng Shen

Papers from Prabhat's perspective

Ordered by how strongly the researchers Prabhat 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers