Hugo Schindler

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Schindler trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Eden Belouadah
  5. Yoshua Bengio
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Fei Zhu
  9. Ross B. Girshick
  10. X. Zhang

Who trusts Hugo Schindler overall

  1. Da-Wei Zhou

Papers from Hugo Schindler's perspective

Ordered by how strongly the researchers Hugo Schindler 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers