Maximilian Eibl

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Maximilian Eibl trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Sergey Ioffe
  4. Justin Salamon
  5. Christian Szegedy
  6. Dan Stowell

Who trusts Maximilian Eibl overall

  1. Dan Stowell

Papers from Maximilian Eibl's perspective

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

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

Their papers