Victoria Krakovna

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 7 papers; trusts 60 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Krakovna trusts overall

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

  1. Pieter Abbeel
  2. Jessica Taylor
  3. Andrew Y. Ng
  4. Dylan Hadfield-Menell
  5. Teodor Mihai Moldovan
  6. Richard S. Sutton
  7. Laurent Orseau
  8. Stuart Armstrong
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Victoria Krakovna overall

  1. Tom Everitt
  2. Simon Zhuang
  3. Zachary Kenton
  4. Jan Leike
  5. Laurent Orseau
  6. Shane Legg
  7. Miljan Martic
  8. David Krueger
  9. Dylan Hadfield-Menell
  10. Marcus Hutter

Papers from Victoria Krakovna's perspective

Ordered by how strongly the researchers Victoria Krakovna 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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