Gabor Fichtinger

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabor Fichtinger trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Paul J. Werbos

Papers from Gabor Fichtinger's perspective

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

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

Their papers