Mira Lilleholt Vik

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mira Lilleholt Vik trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Vinod Nair
  6. Felix Weninger
  7. David E. Rumelhart
  8. Xavier Glorot
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Mira Lilleholt Vik overall

  1. Szu-Wei Fu
  2. Chien-Feng Liao
  3. Loïc Simon
  4. Yu Tsao
  5. Chris Donahue
  6. Kaizhi Qian
  7. Shou-De Lin

Papers from Mira Lilleholt Vik's perspective

Ordered by how strongly the researchers Mira Lilleholt Vik 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. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers