Christopher D. Krieger

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Christopher D. Krieger trusts overall

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

  1. Inderjit S. Dhillon
  2. Ulrike von Luxburg

Who trusts Christopher D. Krieger overall

  1. Xu Chen

Papers from Christopher D. Krieger's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A tutorial on spectral clustering
  8. MapReduce: simplified data processing on large clusters
  9. Deep learning with COTS HPC systems
  10. Compressing Neural Networks with the Hashing Trick

Their papers