Ashok Kumar Pant

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ashok Kumar Pant trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Abdel-rahman Mohamed
  4. Tara N. Sainath
  5. Ilya Sutskever
  6. Ossama Abdel-Hamid
  7. Yoshua Bengio
  8. Yann LeCun

Who trusts Ashok Kumar Pant overall

  1. Alexander Rainer Tassilo Gepperth
  2. Benedikt Pfülb

Papers from Ashok Kumar Pant's perspective

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

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

Their papers