Kristofer Schlachter

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kristofer Schlachter trusts overall

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

  1. Kaiming He
  2. Simon S. Haykin
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Nicolai Bissantz
  6. Aleka McAdams
  7. Emily L. Denton
  8. X. Zhang

Who trusts Kristofer Schlachter overall

  1. L. Zampieri
  2. Lukas Prantl
  3. Nils Thürey
  4. Ameya Dilip Jagtap
  5. Justin A. Sirignano
  6. Zhongqing Han
  7. Emmanuel de Bézenac
  8. Yaohua Zang
  9. Alasdair Tran
  10. Luke Metz

Papers from Kristofer Schlachter's perspective

Ordered by how strongly the researchers Kristofer Schlachter 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. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers