Evgeny Kharlamov

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Evgeny Kharlamov trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)
  3. Stephan Günnemann (in Artificial Intelligence)
  4. Max Welling (in Artificial Intelligence)
  5. Leo Breiman (in Evaluation & Benchmarks)
  6. Yoshua Bengio (in Artificial Intelligence)
  7. Christian Szegedy (in Artificial Intelligence)

Papers from Evgeny Kharlamov's perspective

Ordered by how strongly the researchers Evgeny Kharlamov 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Understanding the difficulty of training deep feedforward neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. GloVe: Global Vectors for Word Representation
  10. Long Short-Term Memory

Their papers