Marius Hobbhahn

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marius Hobbhahn trusts overall

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

  1. Geoffrey E. Hinton

Papers from Marius Hobbhahn's perspective

Ordered by how strongly the researchers Marius Hobbhahn 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. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Improving neural networks by preventing co-adaptation of feature detectors
  9. ImageNet: A large-scale hierarchical image database
  10. Recurrent neural network based language model

Their papers