Aaron Mueller

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Aaron Mueller trusts overall

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

  1. Yoav Goldberg
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Tal Linzen
  5. Noam Chomsky
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Tomas Mikolov

Who trusts Aaron Mueller overall

  1. Tal Linzen

Papers from Aaron Mueller's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers