Hari Mohan Pandey

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hari Mohan Pandey trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Quoc V. Le (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Diederik P. Kingma (in Artificial Intelligence)
  6. Jimmy Ba (in Artificial Intelligence)
  7. Yann LeCun (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Hari Mohan Pandey's perspective

Ordered by how strongly the researchers Hari Mohan Pandey 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. Going deeper with convolutions
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  8. Densely Connected Convolutional Networks
  9. Wide Residual Networks
  10. Gradient-based learning applied to document recognition

Their papers