John Dines

Artificial Intelligence · 2005–2012

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Dines trusts overall

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

  1. Lawrence R. Rabiner
  2. Daniel Povey
  3. Erik McDermott
  4. Cyril Allauzen
  5. Philip C. Woodland
  6. Keiichi Tokuda
  7. Timothy J. Hazen
  8. Michael D. Riley
  9. Frederick Jelinek
  10. Heiga Zen

Who trusts John Dines overall

  1. Vijayaditya Peddinti
  2. Adam Santoro
  3. Guoguo Chen
  4. Pawel Swietojanski
  5. Yuanpeng Li
  6. Seunghyun Yoon
  7. Vimal Manohar
  8. Sergey Bartunov
  9. Hussein Hazimeh
  10. Junbo Zhang

Papers from John Dines's perspective

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

  1. Connectionist Speech Recognition: A Hybrid Approach
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Tandem connectionist feature extraction for conventional HMM systems
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Lightly supervised and unsupervised acoustic model training
  7. Minimum Phone Error and I-smoothing for improved discriminative training
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
  10. Long short-term memory recurrent neural network architectures for large scale acoustic modeling

Their papers