Sten Hanke

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sten Hanke trusts

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

  1. Stephen S. Intille (in Computer Vision and Pattern Recognition)

Papers from Sten Hanke's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  4. Learning to Forget: Continual Prediction with LSTM
  5. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  6. Unsupervised feature learning for audio classification using convolutional deep belief networks
  7. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
  8. Learning Precise Timing with LSTM Recurrent Networks
  9. LSTM Neural Networks for Language Modeling
  10. Activity Recognition from User-Annotated Acceleration Data

Their papers