Kai-Min Yang

Computer Vision and Pattern Recognition · 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 Kai-Min Yang trusts

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

  1. Raghuraman Krishnamoorthi (in Computer Vision and Pattern Recognition)

Papers from Kai-Min Yang's perspective

Ordered by how strongly the researchers Kai-Min Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  3. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  5. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
  6. BinaryConnect: Training Deep Neural Networks with binary weights during propagations
  7. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
  8. Trained Ternary Quantization
  9. Binarized Neural Networks
  10. Quantizing deep convolutional networks for efficient inference: A whitepaper

Their papers