Pepa Atanasova

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pepa Atanasova trusts overall

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

  1. Sepp Hochreiter
  2. Geoffrey E. Hinton
  3. Ilya Loshchilov
  4. Yoshua Bengio
  5. Kunihiko Fukushima
  6. Karen Simonyan
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Jacob Devlin

Who trusts Pepa Atanasova overall

  1. Nils Rethmeier
  2. Neema Kotonya
  3. Xuhong Li
  4. Ana Marasovic
  5. Vageesh Kumar Saxena
  6. Isabelle Augenstein
  7. Ioannis Mollas

Papers from Pepa Atanasova's perspective

Ordered by how strongly the researchers Pepa Atanasova 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers