Alexander Panchenko

Artificial Intelligence · with Biemann · 2016–2022

A researcher in the Science corpus: 6 papers; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Panchenko trusts overall

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

  1. George A. Miller
  2. Tomas Mikolov
  3. Chris Biemann
  4. Marco Baroni
  5. Iryna Gurevych
  6. Magnus Sahlgren
  7. Hinrich Schütze
  8. Roberto Navigli
  9. Mikhail Korobov
  10. Dekang Lin

Who trusts Alexander Panchenko overall

  1. Piotr Bojanowski
  2. Mohammad Taher Pilehvar
  3. José Camacho-Collados

Papers from Alexander Panchenko's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers