Julian Georg Zilly

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Georg Zilly trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Yann LeCun
  8. Tomas Mikolov
  9. Alex Krizhevsky
  10. Diederik P. Kingma

Who trusts Julian Georg Zilly overall

  1. Stephen Merity
  2. Jiuxiang Gu
  3. Grzegorz Chrupała
  4. Sho Takase
  5. Tao Lei
  6. Artem Sevastopolsky
  7. Percy Liang
  8. Richard Socher
  9. Ofir Press
  10. Quanming Yao

Papers from Julian Georg Zilly's perspective

Ordered by how strongly the researchers Julian Georg Zilly 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers