Jaan Altosaar

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jaan Altosaar trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Alex Graves
  5. Ruslan Salakhutdinov
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Sepp Hochreiter
  10. Steffen Rendle

Who trusts Jaan Altosaar overall

  1. Jiaxin Shi
  2. Qiang Liu
  3. Zabir Al Nazi
  4. Michalis K. Titsias
  5. Silvio Amir
  6. Anja Reusch
  7. Yi Yang
  8. Guangneng Hu
  9. Yuqi Si
  10. Dustin Tran

Papers from Jaan Altosaar's perspective

Ordered by how strongly the researchers Jaan Altosaar 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers