Josh Meyer

Natural Language Processing · 2019–2020

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

Subfields

Whom Josh Meyer trusts overall

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

  1. Rachael Tatman
  2. Alex Graves
  3. C. Cieri
  4. Jonathan G. Fiscus
  5. Vassil Panayotov
  6. Conner Kasten
  7. Santiago Fernández
  8. Guoguo Chen
  9. Dario Amodei
  10. J. Urgen Schmidhuber

Who trusts Josh Meyer overall

  1. Alec Radford

Papers from Josh Meyer's perspective

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

  1. Understanding the difficulty of training deep feedforward neural networks
  2. Long Short-Term Memory
  3. Librispeech: An ASR corpus based on public domain audio books
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. SWITCHBOARD: telephone speech corpus for research and development
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers