Max Wu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Max Wu trusts overall

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

  1. Christian Szegedy

Papers from Max Wu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Rethinking the Inception Architecture for Computer Vision
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Efficient Estimation of Word Representations in Vector Space
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers