Tomasz Jurczyk

Natural Language Processing · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tomasz Jurczyk trusts overall

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

  1. Mengqiu Wang
  2. Wen-tau Yih
  3. Noah A. Smith
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Ming Tan
  7. Kyunghyun Cho
  8. Nal Kalchbrenner
  9. Bing Xiang
  10. Ilya Sutskever

Who trusts Tomasz Jurczyk overall

  1. Dinghan Shen
  2. Shervin Minaee
  3. Eunsol Choi
  4. Martin Renqiang Min
  5. Yitong Li
  6. Erik Cambria
  7. Lawrence Carin
  8. Daniel Hewlett

Papers from Tomasz Jurczyk's perspective

Ordered by how strongly the researchers Tomasz Jurczyk 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (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