Mikhail Pavlov

Artificial Intelligence · 2015–2025

A researcher in the Science corpus: 6 papers; trusts 71 researchers and is trusted by 156 researchers here, as inferred from the citation graph.

Subfields

Whom Mikhail Pavlov trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Ronald J. Williams
  9. Jimmy Ba
  10. Alex Graves

Who trusts Mikhail Pavlov overall

  1. Ming Ding
  2. Patrick Esser
  3. Jiahui Yu
  4. Kaiming He
  5. Zhe Gan
  6. Alex Nichol
  7. Yanghao Li
  8. Christoph Feichtenhofer
  9. Jaemin Cho
  10. Lijun Yu

Papers from Mikhail Pavlov's perspective

Ordered by how strongly the researchers Mikhail Pavlov 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers