Tomas Brychcin

Natural Language Processing · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Tomas Brychcin trusts overall

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

  1. Tomas Mikolov
  2. Christopher D. Manning
  3. Richard Socher
  4. Eneko Agirre
  5. Jeffrey Pennington
  6. Yoshua Bengio
  7. Quoc V. Le
  8. Geoffrey E. Hinton
  9. Ilya Sutskever
  10. Carl E. Rasmussen

Who trusts Tomas Brychcin overall

  1. Wenlin Zhuang
  2. Sarah Kohail
  3. Daniel Matthew Cer
  4. Jérémy Ferrero
  5. Pedro Fialho
  6. Hao Wu
  7. Ernie Chang
  8. Amr Rekaby Salama
  9. Eneko Agirre
  10. Mona T. Diab

Papers from Tomas Brychcin's perspective

Ordered by how strongly the researchers Tomas Brychcin 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  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