Raunaq M. Bhirangi

2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Raunaq M. Bhirangi trusts overall

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

  1. Nitish Srivastava
  2. Dinesh Jayaraman
  3. Florian Schroff
  4. Geoffrey E. Hinton
  5. Ting-Li Chen
  6. Ross Goroshin
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Kristen Grauman
  10. Yoshua Bengio

Papers from Raunaq M. Bhirangi's perspective

Ordered by how strongly the researchers Raunaq M. Bhirangi 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers