Elena Buchatskaya

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 11 papers; trusts 78 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Elena Buchatskaya trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Karen Simonyan

Who trusts Elena Buchatskaya overall

  1. Kaiming He
  2. Luc Van Gool
  3. Trevor Darrell
  4. Dacheng Tao
  5. Andrew Zisserman
  6. Xinlei Chen
  7. Xiaogang Wang
  8. Alan L. Yuille
  9. Ming-Hsuan Yang
  10. Yann LeCun

Papers from Elena Buchatskaya's perspective

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

Their papers