Anna Potapenko

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 7 papers; trusts 109 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Potapenko trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Yoshua Bengio
  5. Kaiming He
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. J. Urgen Schmidhuber

Who trusts Anna Potapenko overall

  1. Tri Dao
  2. Jesse Mu
  3. Ofir Press
  4. Richard He Bai
  5. Kalpesh Krishna
  6. Yi Tay
  7. Shunyu Yao
  8. Emilio Parisotto
  9. Yu-Siang Huang
  10. Stella Biderman

Papers from Anna Potapenko's perspective

Ordered by how strongly the researchers Anna Potapenko 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers