Mariya Toneva

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mariya Toneva trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yoav Goldberg
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Kaiming He
  9. Ruslan Salakhutdinov
  10. Jacob Devlin

Who trusts Mariya Toneva overall

  1. Bo Zhao
  2. Charlotte Caucheteux
  3. Roy Schwartz
  4. Hakan Bilen
  5. Swabha Swayamdipta
  6. Jean-Remi King
  7. Xisen Jin
  8. Noveen Sachdeva
  9. M. Paul
  10. Nithin Holla

Papers from Mariya Toneva's perspective

Ordered by how strongly the researchers Mariya Toneva 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers