Kellen Sunderland

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kellen Sunderland trusts overall

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

  1. Rico Sennrich
  2. Artem Sokolov
  3. Julia Kreutzer
  4. Chris Dyer

Papers from Kellen Sunderland's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  7. Reinforcement Learning: An Introduction
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation of Rare Words with Subword Units

Their papers