Aharon Satt

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Aharon Satt trusts overall

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

  1. Paul P. G. Boersma
  2. Li Deng
  3. Björn Schuller
  4. Zhengwei Huang
  5. Dong Yu
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Anton Batliner
  9. Ming Dong
  10. Pascal Vincent

Who trusts Aharon Satt overall

  1. Seunghyun Yoon
  2. Leonardo Pepino
  3. Seokhyun Byun
  4. Pablo Ernesto Riera

Papers from Aharon Satt's perspective

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

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

Their papers