Johan Bjorck

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 264 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Johan Bjorck trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Xavier Glorot
  9. Ross B. Girshick
  10. David E. Rumelhart

Who trusts Johan Bjorck overall

  1. Boyi Li
  2. Soham De
  3. Stanislaw Jastrzebski
  4. Jonathan Frankle
  5. Samuel L. Smith
  6. Lei Huang
  7. Felix Wu
  8. Andrew Brock
  9. Zhiyuan Li
  10. David J. Schwab

Papers from Johan Bjorck's perspective

Ordered by how strongly the researchers Johan Bjorck 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers