Ke Wu

Artificial Intelligence · with Allauzen · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Wu trusts overall

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

  1. Michael Collins
  2. Andrew McCallum
  3. Reinhard Kneser
  4. Hermann Ney
  5. M. Bisani
  6. Thomas Lavergne
  7. Brian Roark
  8. Fernando C Pereira
  9. Dayne Freitag
  10. Olivier Capp'e

Who trusts Ke Wu overall

  1. Kaisheng Yao
  2. Xu Tan
  3. Kyle Gorman
  4. Keith B. Hall
  5. Geoffry Zweig

Papers from Ke Wu's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Improved backing-off for M-gram language modeling
  8. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Gradient-based learning applied to document recognition

Their papers