Lars Kotthoff

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 95 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Lars Kotthoff trusts overall

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

  1. Frank Hutter
  2. Holger H. Hoos
  3. David Hilton Wolpert
  4. Leo Breiman
  5. Robert E. Schapire
  6. K. Smith‐Miles
  7. Kevin Leyton-Brown
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Lin Xu

Who trusts Lars Kotthoff overall

  1. Frank Hutter
  2. Holger H. Hoos
  3. Haifeng Jin
  4. Matthias Feurer
  5. Mustafa Misir
  6. Pascal Kerschke
  7. Katharina Eggensperger
  8. Lin Xu
  9. Marius Thomas Lindauer
  10. Davide Chicco

Papers from Lars Kotthoff's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers