Maximilian Schiffer

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Maximilian Schiffer trusts overall

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

  1. Jerome H. Friedman
  2. Jonathan Frankle
  3. Geoffrey E. Hinton
  4. Kristin P. Bennett
  5. Lior Rokach
  6. R. Caruana
  7. Leo Breiman
  8. Trevor J. Hastie
  9. Michael Schneider
  10. Michael Carbin

Who trusts Maximilian Schiffer overall

  1. Emilio Carrizosa
  2. Dolores Romero Morales
  3. Cristina Molero-Río

Papers from Maximilian Schiffer's perspective

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

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  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. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers