Vadim Popov

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Vadim Popov trusts overall

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

  1. Diederik P. Kingma
  2. Yang Song
  3. Geoffrey E. Hinton
  4. Aäron van den Oord
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Alex Graves
  9. Taye Samuel Faniran
  10. Ryan J. Prenger

Who trusts Vadim Popov overall

  1. Xu Tan
  2. Heeseung Kim
  3. Hiroki Kanagawa
  4. Tao Qin
  5. Rongjie Huang
  6. Sang-gil Lee
  7. Zhijun Liu
  8. Cong Han
  9. Minki Kang
  10. Jaesung Tae

Papers from Vadim Popov's perspective

Ordered by how strongly the researchers Vadim Popov 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. 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. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers