Liubov Kovriguina

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liubov Kovriguina trusts overall

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

  1. Dan Hendrycks
  2. Satanjeev Banerjee
  3. Tomas Mikolov
  4. Yoshua Bengio
  5. Piotr Bojanowski
  6. Geoffrey E. Hinton
  7. Marco Tulio Ribeiro
  8. Matt J. Kusner
  9. Ryan J. Lowe
  10. Mihail Eric

Papers from Liubov Kovriguina's perspective

Ordered by how strongly the researchers Liubov Kovriguina 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Bleu: a Method for Automatic Evaluation of Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers