Igor Jauk

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Igor Jauk trusts overall

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

  1. Patrick Kenny
  2. Diederik P. Kingma
  3. Robert M. Gray
  4. Marc Schröder
  5. Mark A. Musen
  6. Tomas Mikolov
  7. Geoffrey E. Hinton
  8. Bo Pang
  9. Zhizheng Wu
  10. Ying Zhao

Who trusts Igor Jauk overall

  1. Daisy Stanton
  2. Da-Rong Liu
  3. Yuxuan Wang
  4. Chi-Yu Yang
  5. R. Skerry-Ryan
  6. Gustav Eje Henter
  7. Szu-Lin Wu
  8. Hung-yi Lee

Papers from Igor Jauk's perspective

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

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

Their papers