Larry Chan

2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Larry Chan trusts overall

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

  1. Ned Block

Who trusts Larry Chan overall

  1. Upol Ehsan
  2. Sarah Wiegreffe

Papers from Larry Chan's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Effective Approaches to Attention-based Neural Machine Translation
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. The mythos of model interpretability
  10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers