David Sattlegger

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 76 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom David Sattlegger trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Paul Bergmann
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Zhou Wang
  10. L. Eon Bottou

Who trusts David Sattlegger overall

  1. Kilian Batzner
  2. Paul Bergmann
  3. Hanqiu Deng
  4. Niv Cohen
  5. Yang Zou
  6. Jongheon Jeong
  7. Vitjan Zavrtanik
  8. Pankaj Kumar Mishra
  9. Sungwook Lee
  10. Karsten Roth

Papers from David Sattlegger's perspective

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

Their papers