Ilia Kurenkov

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ilia Kurenkov trusts overall

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

  1. Alex Graves
  2. Andrew L. Maas
  3. Diederik P. Kingma
  4. Xavier Glorot
  5. Yoshua Bengio

Papers from Ilia Kurenkov's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Understanding the difficulty of training deep feedforward neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers