Daniel Weimer

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Weimer trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. David H. Hubel
  4. Yann LeCun
  5. Nirbhar Neogi
  6. Andrew Barto
  7. Yoav Freund
  8. Miroslav Kubat
  9. S. Kotsiantis
  10. Alex Krizhevsky

Who trusts Daniel Weimer overall

  1. Liquan Zhao
  2. Jun Zhu
  3. Tian Wang
  4. Shuaiyang Li
  5. Nan Chen
  6. Yang Chen

Papers from Daniel Weimer's perspective

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

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

Their papers