Ilya Feige

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ilya Feige trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Andriy Mnih
  7. Sergey Ioffe
  8. Alex Graves
  9. Danilo Jimenez Rezende
  10. Jimmy Ba

Who trusts Ilya Feige overall

  1. Leland McInnes
  2. A. Larkoski

Papers from Ilya Feige's perspective

Ordered by how strongly the researchers Ilya Feige 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers