Janine Thoma

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Janine Thoma trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Sergey Ioffe
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. Yann LeCun
  9. Jimmy Ba
  10. Martín Arjovsky

Papers from Janine Thoma's perspective

Ordered by how strongly the researchers Janine Thoma 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers