Ryan Sepassi

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Sepassi trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma

Who trusts Ryan Sepassi overall

  1. Yi Tay
  2. Yu-An Chung
  3. Noam Shazeer

Papers from Ryan Sepassi's perspective

Ordered by how strongly the researchers Ryan Sepassi 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers