Ilya Trofimov

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ilya Trofimov trusts overall

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

  1. J. Langford
  2. Jerome H. Friedman
  3. Guo-Xun Yuan
  4. Paul Tseng
  5. Muthu Dayalan
  6. Martin A. Zinkevich
  7. A. Genkin
  8. Alekh Agarwal
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Ilya Trofimov overall

  1. Virginia Smith
  2. Dr. Matthias Seeger
  3. Ian En-Hsu Yen
  4. Shan-Wei Lin
  5. Simone Forte
  6. Shou-De Lin

Papers from Ilya Trofimov's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers