Xin Jin

Artificial Intelligence · with Song · 2022

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 Xin Jin trusts

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

  1. Zhi-Hua Zhou (in Artificial Intelligence)

Papers from Xin Jin's perspective

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

  1. The Caltech-UCSD Birds-200-2011 Dataset
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Pruning Filters for Efficient ConvNets
  5. Learning Multiple Layers of Features from Tiny Images
  6. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
  7. Gradient-based learning applied to document recognition
  8. One-Pass Learning with Incremental and Decremental Features
  9. Learning With Feature Evolvable Streams
  10. When Machine Unlearning Jeopardizes Privacy

Their papers