Bernd Bischl

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 19 papers; trusts 139 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Bernd Bischl trusts overall

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

  1. Frank Hutter
  2. Jerome H. Friedman
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Donald R. Jones
  7. Alex Krizhevsky
  8. Joaquin Vanschoren
  9. Jasper Snoek
  10. James Bergstra

Who trusts Bernd Bischl overall

  1. Philipp Probst
  2. Marc-André Zöller
  3. Giuseppe Casalicchio
  4. Anne-Laure Boulesteix
  5. Marco F. Huber
  6. Przemyslaw Biecek
  7. Christoph Molnar
  8. Matthias Feurer
  9. Frank Hutter
  10. Jan N. van Rijn

Papers from Bernd Bischl's perspective

Ordered by how strongly the researchers Bernd Bischl 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. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers