Christoph Hochreiner

Optimization & Training · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Hochreiner trusts overall

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

  1. Yurii E. Nesterov
  2. L. Eon Bottou
  3. Robert Hecht-Nielsen
  4. Xavier Glorot
  5. Ilya Sutskever
  6. Yoshua Bengio

Papers from Christoph Hochreiner's perspective

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

  1. Understanding the difficulty of training deep feedforward neural networks
  2. On the importance of initialization and momentum in deep learning
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Large-Scale Machine Learning with Stochastic Gradient Descent
  9. Learning Multiple Layers of Features from Tiny Images
  10. A method for solving the convex programming problem with convergence rate O(1/k^2)

Their papers