Amir Hussain

Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 16 papers; trusts 355 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Hussain trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ilya Sutskever
  7. Ruslan Salakhutdinov
  8. Richard S. Sutton
  9. J. Urgen Schmidhuber
  10. Karen Simonyan

Who trusts Amir Hussain overall

  1. Erik Cambria
  2. Soujanya Poria
  3. Devamanyu Hazarika
  4. Ashima Yadav
  5. Amir Zadeh
  6. Yue Gu
  7. Kumar Ravi
  8. Sangwon Jung
  9. Frank Xing
  10. Endang Wahyu Pamungkas

Papers from Amir Hussain's perspective

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

Their papers