Aman Hussain

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aman Hussain trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ilya Sutskever
  7. Anthony V. Robins
  8. Arslan Chaudhry
  9. Ido Dagan
  10. Kaiming He

Papers from Aman Hussain's perspective

Ordered by how strongly the researchers Aman 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers