Paarijaat Aditya

Computer Networks and Communications · 2010–2018

A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paarijaat Aditya trusts overall

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

  1. Beth Cohen
  2. Alex Krizhevsky
  3. Whitfield Diffie
  4. Pascal Paillier
  5. Andreas Haeberlen
  6. Geoffrey E. Hinton
  7. Michael J. Freedman
  8. Moni Naor
  9. Gary B. Huang
  10. Jia Deng

Papers from Paarijaat Aditya's perspective

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

Their papers