Wenxiang Deng

Computer Vision and Pattern Recognition · with Wu · 2020

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

Subfields

Whom Wenxiang Deng trusts overall

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

  1. Christoph Baur
  2. Paul Bergmann
  3. Diederik P. Kingma

Papers from Wenxiang Deng's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers