Aaron Angert

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron Angert trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Ilya Sutskever
  5. Yann LeCun
  6. Alex Krizhevsky

Papers from Aaron Angert's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers