Gabriel Skantze

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 7 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Gabriel Skantze trusts overall

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

  1. Sepp Hochreiter
  2. Raveesh Meena
  3. J. Urgen Schmidhuber
  4. Agustin Gravano
  5. Alec Radford
  6. Florian Eyben
  7. Alex Graves
  8. Geoffrey E. Hinton
  9. Mattias Heldner
  10. J. Schmidhuber

Who trusts Gabriel Skantze overall

  1. Erik Ekstedt
  2. Tu Nguyen
  3. Ryo Masumura

Papers from Gabriel Skantze's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers