Allen Schmaltz

Natural Language Processing · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Allen Schmaltz trusts overall

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

  1. Daniel Dahlmeier
  2. Jeffrey L. Elman
  3. Andreas Stolcke
  4. Hwee Tou Ng
  5. Reinhard Kneser
  6. Hany Hassan
  7. Thang Luong
  8. Yoon Kim
  9. Hermann Ney
  10. Philipp Koehn

Who trusts Allen Schmaltz overall

  1. Tao Ge
  2. Xuwang Yin
  3. Shamil Chollampatt
  4. Furu Wei
  5. Sean Welleck
  6. Yossi Adi
  7. Eva Hasler
  8. Abhijeet Awasthi
  9. Wei Wang
  10. Thibaud Lutellier

Papers from Allen Schmaltz's perspective

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

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

Their papers