Josef Urban

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 7 papers; trusts 28 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Josef Urban trusts overall

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

  1. Xavier Leroy
  2. Levente Kocsis
  3. Norman D. Megill
  4. Pablo A. Parrilo
  5. Peter Dybjer
  6. Daniel Whalen
  7. David Silver
  8. Frank Hutter
  9. Gerwin Klein
  10. Niklas Eén

Who trusts Josef Urban overall

  1. Kaiyu Yang
  2. Mingzhe Wang
  3. Jia Deng
  4. Kshitij Bansal
  5. Yuhuai Wu
  6. Stanislas Polu
  7. Geoffrey Irving
  8. Sarah M. Loos
  9. Christian Szegedy
  10. Cezary Kaliszyk

Papers from Josef Urban's perspective

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

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

Their papers