Nick Glorioso

Information Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Glorioso trusts

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

  1. Premkumar T. Devanbu (in Information Systems)
  2. Yoshua Bengio (in Artificial Intelligence)

Papers from Nick Glorioso's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. TensorFlow: A system for large-scale machine learning
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers