Tatjana Chavdarova

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Tatjana Chavdarova trusts overall

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

  1. Alex Krizhevsky
  2. L. Eon Bottou
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Christian Szegedy
  7. Kaiming He
  8. Gauthier Gidel
  9. Sergey Ioffe
  10. Yann LeCun

Who trusts Tatjana Chavdarova overall

  1. Ahmed Khaled
  2. Konstantin Mishchenko
  3. Yu-Guan Hsieh
  4. Aryan Mokhtari
  5. Luo Luo
  6. Peter Richtárik
  7. Nicolas Loizou
  8. Franck Iutzeler
  9. Sharan Vaswani
  10. Sarath Pattathil

Papers from Tatjana Chavdarova's perspective

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

Their papers