Alexander Miserlis Hoyle

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alexander Miserlis Hoyle trusts overall

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

  1. Paul Baker
  2. Jacob Eisenstein
  3. Diederik P. Kingma
  4. David M. Blei
  5. Michael I. Jordan
  6. David Bamman
  7. Geoffrey E. Hinton
  8. Andrew Y. Ng
  9. Kuzman Ganchev
  10. Yoshua Bengio

Who trusts Alexander Miserlis Hoyle overall

  1. Adithya Renduchintala
  2. Karolina Stańczak
  3. Adina Williams
  4. Emily Dinan
  5. Isabelle Augenstein
  6. Angela Fan

Papers from Alexander Miserlis Hoyle's perspective

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

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

Their papers