Travis R. Goodwin

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Travis R. Goodwin trusts overall

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

  1. Emine Yilmaz
  2. Ellen M. Voorhees
  3. Dekang Lin
  4. Judea Pearl
  5. Alan R. Aronson
  6. Olivier Bodenreider
  7. Chengxiang Zhai
  8. Paul R. Kingsbury
  9. Xuchen Yao
  10. J. Aslam

Who trusts Travis R. Goodwin overall

  1. Yuan Ling
  2. Chao Yu

Papers from Travis R. Goodwin's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers