Michael Granitzer

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michael Granitzer trusts overall

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

  1. Marcos Zampieri
  2. Sepp Hochreiter
  3. Paul J. Werbos
  4. Diederik P. Kingma
  5. Jeffrey L. Elman
  6. Thomas G. Dietterich
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Kaiming He
  10. Michael Wiegand

Who trusts Michael Granitzer overall

  1. A. Ozbayoglu

Papers from Michael Granitzer's perspective

Ordered by how strongly the researchers Michael Granitzer 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers