Alok Aggarwal

Artificial Intelligence · 1988–2019

A researcher in the Science corpus: 4 papers; trusts 105 researchers and is trusted by 918 researchers here, as inferred from the citation graph.

Subfields

Whom Alok Aggarwal trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Barret Zoph
  4. Yoshua Bengio
  5. Kaiming He
  6. Christian Szegedy
  7. Yann LeCun
  8. Kenneth O. Stanley
  9. Ilya Sutskever
  10. Quoc V. Le

Who trusts Alok Aggarwal overall

  1. Xuanyi Dong
  2. Jeffrey Scott Vitter
  3. Quoc V. Le
  4. Colin White
  5. Hanxiao Liu
  6. Arber Zela
  7. Jia Wang
  8. Anton Bovier
  9. Frank Hutter
  10. Hang Xu

Papers from Alok Aggarwal's perspective

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

Their papers