Natalia Gimelshein

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 6 papers; trusts 98 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia Gimelshein trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Kaiming He
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Alex Graves
  9. Christian Szegedy
  10. Andrew Zisserman

Who trusts Natalia Gimelshein overall

  1. Tri Dao
  2. Hao Liu
  3. Ali Ayub
  4. Fanjie Kong
  5. Da-Wei Zhou
  6. Minjie Wang
  7. Chien-chin Huang

Papers from Natalia Gimelshein's perspective

Ordered by how strongly the researchers Natalia Gimelshein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers