Thomas Hain

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 12 papers; trusts 87 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Hain trusts overall

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

  1. Philip C. Woodland
  2. Daniel Povey
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Aäron van den Oord
  7. Mark John Francis Gales
  8. Alex Graves
  9. Richard S. Sutton
  10. Alex Krizhevsky

Who trusts Thomas Hain overall

  1. Ronan Collobert
  2. Pawel Swietojanski
  3. Li Deng
  4. Daniel Povey
  5. Karel Veselý
  6. Yu Zhang
  7. Gabriel Synnaeve
  8. Awni Y. Hannun
  9. Mirco Ravanelli
  10. S. Renals

Papers from Thomas Hain's perspective

Ordered by how strongly the researchers Thomas Hain 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers