Lynn H. Kaack

Electrical and Electronic Engineering · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lynn H. Kaack trusts overall

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

  1. Armand Joulin
  2. Tom Schaul
  3. Geoffrey E. Hinton
  4. J. Marion
  5. Jiaxuan You
  6. Yoshua Bengio
  7. Shanjun Li
  8. Irina Harris
  9. Rommert Dekker
  10. Kaiming He

Who trusts Lynn H. Kaack overall

  1. Ignacio de Blas
  2. Margarita Mediavilla
  3. Íñigo Capellán-Pérez
  4. C. Duce

Papers from Lynn H. Kaack's perspective

Ordered by how strongly the researchers Lynn H. Kaack trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  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