Gaurav Aggarwal

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 3 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gaurav Aggarwal trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Kai Han
  9. Andrew Zisserman
  10. Yen-Chang Hsu

Papers from Gaurav Aggarwal's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers