Yomi Kastro

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yomi Kastro trusts overall

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

  1. Zachary Chase Lipton
  2. Ethem Alpaydin
  3. Chet Langin
  4. Yoshua Bengio
  5. Alex Graves

Papers from Yomi Kastro's perspective

Ordered by how strongly the researchers Yomi Kastro trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Speech recognition with deep recurrent neural networks
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Learning long-term dependencies with gradient descent is difficult
  6. The Nature of Statistical Learning Theory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. TensorFlow: A system for large-scale machine learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers