Ilya O. Tolstikhin

Artificial Intelligence · with Schölkopf · 2013–2021

A researcher in the Science corpus: 11 papers; trusts 249 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Ilya O. Tolstikhin trusts overall

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

  1. Arthur Gretton
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. David A. McAllester
  5. Bharath K. Sriperumbudur
  6. Alex Krizhevsky
  7. Bernhard Schölkopf
  8. Kaiming He
  9. Kenji Fukumizu
  10. Yoshua Bengio

Who trusts Ilya O. Tolstikhin overall

  1. Pierre Alquier
  2. Ali Borji
  3. David Lopez-Paz
  4. Ben London
  5. Bernhard Schölkopf
  6. Sayeri Lala
  7. Pascal Germain
  8. James Lee-Thorp
  9. Xiaohua Zhai
  10. Garrett Wilson

Papers from Ilya O. Tolstikhin's perspective

Ordered by how strongly the researchers Ilya O. Tolstikhin 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers