Matthew Pauly

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Pauly trusts overall

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

  1. Yonatan Belinkov
  2. Yoshua Bengio
  3. Philipp Koehn
  4. Alec Radford
  5. Geoffrey E. Hinton
  6. Barbara Olshausen
  7. Diederik P. Kingma
  8. H. Barlow
  9. Brian C. Ross
  10. Ilya Sutskever

Papers from Matthew Pauly's perspective

Ordered by how strongly the researchers Matthew Pauly 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Layer Normalization
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers