Carol Tenny

2006

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Carol Tenny trusts overall

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

  1. Christopher Potts
  2. Noam Chomsky
  3. Christine Gunlogson
  4. Hans Kamp

Who trusts Carol Tenny overall

  1. De Grammatica van Standaarden
  2. Lisa Bylinina
  3. Yuan Luo
  4. Tamina Stephenson
  5. Taisuke Nishigauchi
  6. Lila San Roque
  7. Ozlem Uzuner

Papers from Carol Tenny's perspective

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

  1. The logic of conventional implicatures
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers