Jakob N. Nissen

Molecular Biology · 2021–2025

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob N. Nissen trusts overall

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

  1. Heng Li
  2. Sergey Ioffe
  3. Shengjia Zhao
  4. Diederik P. Kingma
  5. Christian Szegedy
  6. Geoffrey E. Hinton

Papers from Jakob N. Nissen's perspective

Ordered by how strongly the researchers Jakob N. Nissen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers