Yuanyuan Ding

Artificial Intelligence · with Chen · 2021

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 Yuanyuan Ding trusts overall

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

  1. Paul Bergmann
  2. Niv Cohen
  3. Zhaowei Cai
  4. Adamu Ali-Gombe
  5. Thomas Schlegl
  6. Samet Akcay

Papers from Yuanyuan Ding's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
  7. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection (Computer Vision and Pattern Recognition)
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Cascade R-CNN: Delving Into High Quality Object Detection

Their papers