Joschka Boedecker

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 8 papers; trusts 567 researchers and is trusted by 606 researchers here, as inferred from the citation graph.

Subfields

Whom Joschka Boedecker trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Richard S. Sutton
  4. Yoshua Bengio
  5. Sergey Levine
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Alex Graves
  9. E. Todorov
  10. J. Urgen Schmidhuber

Who trusts Joschka Boedecker overall

  1. Sergey Levine
  2. Chelsea Finn
  3. Pieter Abbeel
  4. Lei Tai
  5. Danijar Hafner
  6. Marc Peter Deisenroth
  7. Brandon Amos
  8. Michael Janner
  9. Anusha Nagabandi
  10. Yoshua Bengio

Papers from Joschka Boedecker's perspective

Ordered by how strongly the researchers Joschka Boedecker 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers