Matthew Gibson

Artificial Intelligence · with Hain · 2006–2010

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Gibson trusts overall

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

  1. Philip C. Woodland
  2. Daniel Povey
  3. Erik McDermott
  4. Chris Leggetter
  5. Laurence S. Gillick
  6. Timothy J. Hazen
  7. Stephen J. Cox
  8. Paula M. Popovich
  9. Jonathan Le Roux
  10. Atsushi Nakamura

Who trusts Matthew Gibson overall

  1. Ronan Collobert
  2. Li Deng
  3. Daniel Povey
  4. Karel Veselý
  5. Gabriel Synnaeve
  6. Awni Y. Hannun
  7. Xiaohui Zhang
  8. Eugen Beck
  9. Yu Zhang
  10. Vimal Manohar

Papers from Matthew Gibson's perspective

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

  1. Large scale discriminative training of hidden Markov models for speech recognition (Computer Speech and Language)
  2. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Minimum Phone Error and I-smoothing for improved discriminative training
  5. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
  6. Long Short-Term Memory
  7. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers