Chris Cremer

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Cremer trusts overall

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

  1. Diederik P. Kingma
  2. Radford M. Neal
  3. Danilo Jimenez Rezende
  4. Tim Salimans
  5. Max Welling
  6. Ruslan Salakhutdinov
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Yoshua Bengio
  10. Roger Baker Grosse

Who trusts Chris Cremer overall

  1. Pierre-Alexandre Mattei
  2. Fei Ye
  3. Jes Frellsen
  4. Yoon Kim
  5. Rui Shu
  6. Gustav Eje Henter
  7. Georgi Dikov
  8. C. A. Naesseth
  9. Danilo Jimenez Rezende
  10. Justin Domke

Papers from Chris Cremer's perspective

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

Their papers