Johann Petrak

Artificial Intelligence · 2001–2019

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

Subfields

Whom Johann Petrak trusts overall

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

  1. William W. Cohen
  2. Sergey Ioffe
  3. Felix Alexander Gers
  4. Christian Szegedy
  5. J. Urgen Schmidhuber

Who trusts Johann Petrak overall

  1. K. Smith‐Miles
  2. Gang Luo
  3. Pavel Brazdil
  4. Radwa El Shawi
  5. Jan N. van Rijn
  6. Ricardo Vilalta
  7. Matthias Reif
  8. Carlos Soares
  9. Iván Olier
  10. Christophe G. Giraud-Carrier

Papers from Johann Petrak's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. GloVe: Global Vectors for Word Representation
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers