William Wong

Natural Language Processing · with Bisk · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom William Wong trusts overall

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

  1. Yann LeCun

Who trusts William Wong overall

  1. Yonatan Bisk

Papers from William Wong's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Semantic Parsing on Freebase from Question-Answer Pairs
  10. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions

Their papers