Ryan Berger

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan Berger trusts overall

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

  1. Yoon Kim

Papers from Ryan Berger's perspective

Ordered by how strongly the researchers Ryan Berger 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. Long Short-Term Memory
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. GloVe: Global Vectors for Word Representation
  10. ImageNet: A large-scale hierarchical image database

Their papers