Magnus Jahre

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Magnus Jahre trusts overall

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

  1. Alex Krizhevsky

Who trusts Magnus Jahre overall

  1. Sparsh Mittal

Papers from Magnus Jahre's perspective

Ordered by how strongly the researchers Magnus Jahre 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. Learning Multiple Layers of Features from Tiny Images
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Reading Digits in Natural Images with Unsupervised Feature Learning
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers