Ivan Vovk

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Vovk trusts overall

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

  1. Diederik P. Kingma
  2. Yang Song
  3. Taye Samuel Faniran
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Danilo Jimenez Rezende
  8. B.D.O. Anderson
  9. Alex Graves
  10. Jascha Narain Sohl-Dickstein

Who trusts Ivan Vovk overall

  1. Xu Tan
  2. Heeseung Kim
  3. Rongjie Huang
  4. Sang-gil Lee
  5. Zhijun Liu
  6. Cong Han
  7. Minki Kang
  8. Jaesung Tae
  9. Zehua Chen
  10. Zhe Ye

Papers from Ivan Vovk's perspective

Ordered by how strongly the researchers Ivan Vovk 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. GENERATIVE ADVERSARIAL NETS
  8. ImageNet: A large-scale hierarchical image database
  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