Tomi Poutanen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tomi Poutanen trusts overall

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

  1. Geoffrey E. Hinton
  2. David M. Blei
  3. Prem Gopalan
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. L. V. D. van der Maaten
  7. Ilya Sutskever
  8. Chong Wang
  9. Aäron van den Oord
  10. Pascal Vincent

Papers from Tomi Poutanen's perspective

Ordered by how strongly the researchers Tomi Poutanen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Multiple Layers of Features from Tiny Images

Their papers