Niraj Kumar Jha

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 17 papers; trusts 628 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Niraj Kumar Jha trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Karen Simonyan
  5. Yann LeCun
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Jia Deng
  10. Diederik P. Kingma

Who trusts Niraj Kumar Jha overall

  1. Robert Wille
  2. Xiaoliang Dai
  3. Shiwei Liu
  4. Hongxu Yin
  5. Nataliia Neshenko
  6. Hesham Mostafa
  7. Mehdi Saeedi
  8. Nicolas Papernot

Papers from Niraj Kumar Jha's perspective

Ordered by how strongly the researchers Niraj Kumar Jha 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers