Joseph Dureau

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Dureau trusts

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

  1. Daniel Povey (in Artificial Intelligence)
  2. Sanjeev Khudanpur (in Artificial Intelligence)
  3. Guoguo Chen (in Artificial Intelligence)
  4. Vijayaditya Peddinti (in Artificial Intelligence)
  5. Xavier Glorot (in Optimization & Training)

Papers from Joseph Dureau's perspective

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

  1. Speech recognition with deep recurrent neural networks
  2. Understanding the difficulty of training deep feedforward neural networks
  3. The Kaldi Speech Recognition Toolkit
  4. Librispeech: An ASR corpus based on public domain audio books
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. Acoustic Modeling Using Deep Belief Networks
  7. End-to-end attention-based large vocabulary speech recognition
  8. Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging
  9. Weighted finite-state transducers in speech recognition
  10. Top Downloads in IEEE Xplore [Reader's Choice]

Their papers