Di Wu

Artificial Intelligence · with Chen · 2021

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

Subfields

Whom Di Wu trusts overall

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

  1. Alex Graves

Papers from Di Wu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. The Kaldi Speech Recognition Toolkit
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Librispeech: An ASR corpus based on public domain audio books
  10. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Their papers