Anna M. Dinkla

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anna M. Dinkla trusts overall

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

  1. Diederik P. Kingma
  2. Jun-Yan Zhu
  3. Phillip Isola
  4. Justin Johnson
  5. Jimmy Ba
  6. Harsh Rai

Who trusts Anna M. Dinkla overall

  1. Sergey I. Nikolenko
  2. Arvid Lundervold
  3. Onat Dalmaz
  4. Faisal Mahmood
  5. Joseph Paul Cohen

Papers from Anna M. Dinkla's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers