Rylan Schaeffer

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rylan Schaeffer trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Brenden M. Lake
  4. Ruslan Salakhutdinov
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Corinna Cortes
  8. Chin-Yew Lin
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Rylan Schaeffer overall

  1. Leonard Bereska
  2. Efstratios Gavves

Papers from Rylan Schaeffer's perspective

Ordered by how strongly the researchers Rylan Schaeffer 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers