Markus Nußbaum-Thom

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Nußbaum-Thom trusts

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

  1. James Martens (in Optimization & Training)
  2. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  3. R. Caruana (in Artificial Intelligence)

Papers from Markus Nußbaum-Thom's perspective

Ordered by how strongly the researchers Markus Nußbaum-Thom trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Greedy Layer-Wise Training of Deep Networks
  5. Speech recognition with deep recurrent neural networks
  6. Large Scale Distributed Deep Networks
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Neural Networks for Acoustic Modeling in Speech Recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers