Emanuel Zgraggen

Optimization & Training · 2016–2019

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 Emanuel Zgraggen trusts overall

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

  1. Frank Hutter
  2. Matthias Feurer
  3. Richard S. Sutton
  4. James Bergstra
  5. Matthias Schonlau
  6. Donald R. Jones
  7. Barret Zoph
  8. J. Shaffer
  9. Yoshua Bengio
  10. Yoav Benjamini

Who trusts Emanuel Zgraggen overall

  1. Radwa El Shawi

Papers from Emanuel Zgraggen's perspective

Ordered by how strongly the researchers Emanuel Zgraggen 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Reinforcement Learning: An Introduction
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers