Jaak Simm

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jaak Simm trusts overall

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

  1. Geoffrey E. Hinton
  2. Tapio Schneider
  3. Yoshua Bengio
  4. Ruben Martinez-Cantin
  5. James Bergstra
  6. Diederik P. Kingma
  7. Kyunghyun Cho
  8. Yulia Rubanova
  9. Alex Krizhevsky
  10. Jasper Snoek

Who trusts Jaak Simm overall

  1. Satya Narayan Shukla
  2. Li Yang
  3. Jason P. C. Chiu
  4. Jianzhun Du

Papers from Jaak Simm's perspective

Ordered by how strongly the researchers Jaak Simm 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers