Peter Bell

Artificial Intelligence · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Bell trusts overall

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

  1. Geoffrey E. Hinton
  2. Daniel Povey
  3. Dong Yu
  4. Hynek Hermansky
  5. R. Caruana
  6. George E. Dahl
  7. Mauro Cettolo
  8. Hervé Bourlard
  9. Frank Torsten Bernd Seide
  10. Tara N. Sainath

Who trusts Peter Bell overall

  1. Yu Zhang
  2. Pawel Swietojanski
  3. S. Renals
  4. Dong Wang
  5. Arsha Nagrani
  6. Qiang Yang
  7. Leonardo Badino
  8. Thomas Fang Zheng
  9. Joon Son Chung
  10. Andrew Zisserman

Papers from Peter Bell's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers