Clayton J. Hutto

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 95 researchers here, as inferred from the citation graph.

Subfields

Whom Clayton J. Hutto trusts overall

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

  1. Dekang Lin
  2. Adam D. I. Kramer
  3. Peter D. Turney
  4. Minqing Hu
  5. Bo Pang
  6. Tom De Smedt
  7. Andrea Esuli
  8. Bing Liu
  9. Marta Recasens
  10. Maria Lungu

Who trusts Clayton J. Hutto overall

  1. Emily Sheng
  2. Emily Dinan
  3. Kai-Wei Chang
  4. Gudbjartur Ingi Sigurbergsson
  5. Julian Risch
  6. Alexandra Schofield
  7. Asaf Beasley
  8. Srijan Kumar
  9. Olivier Kraaijeveld
  10. Sharon Levy

Papers from Clayton J. Hutto's perspective

Ordered by how strongly the researchers Clayton J. Hutto 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. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers