Amith Abdullah Khandakar

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amith Abdullah Khandakar trusts overall

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

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

Who trusts Amith Abdullah Khandakar overall

  1. Oona Rainio
  2. Tawsifur Rahman

Papers from Amith Abdullah Khandakar's perspective

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

Their papers