Paul Trichelair

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 105 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Trichelair trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Philip S. Thomas
  7. Andrew Barto
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Quoc V. Le

Who trusts Paul Trichelair overall

  1. Aviral Kumar
  2. Thiago D. Simão
  3. Scott Fujimoto
  4. Keisuke Sakaguchi
  5. Justin Fu
  6. Viktor Schlegel
  7. Sergey Levine
  8. Ruosong Wang
  9. Ronan Le Bras
  10. Tassilo Johannes Klein

Papers from Paul Trichelair's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers