Wojciech Kryscinski

Natural Language Processing · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 347 researchers and is trusted by 109 researchers here, as inferred from the citation graph.

Subfields

Whom Wojciech Kryscinski trusts overall

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

  1. Chin-Yew Lin
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Diederik P. Kingma
  6. Richard Socher
  7. Alex Krizhevsky
  8. Oriol Vinyals
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Wojciech Kryscinski overall

  1. Thomas Scialom
  2. Tanya Goyal
  3. Alexander R. Fabbri
  4. Alex Wang
  5. Mingqi Gao
  6. Esin Durmus
  7. Vidhisha Balachandran
  8. Faisal Ladhak
  9. Feng Nan
  10. Yang Liu

Papers from Wojciech Kryscinski's perspective

Ordered by how strongly the researchers Wojciech Kryscinski 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers