Nils Daniel Forkert

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nils Daniel Forkert trusts overall

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

  1. Max Kuhn
  2. X. Chen
  3. Chen Sun
  4. James Y. Zou
  5. Hemant Ishwaran
  6. Kjell Johnson

Papers from Nils Daniel Forkert's perspective

Ordered by how strongly the researchers Nils Daniel Forkert 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers