Ian Beaver

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ian Beaver trusts

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

  1. K. Müller (in Artificial Intelligence)
  2. Grgoire Montavon (in Artificial Intelligence)
  3. Wojciech Samek (in Artificial Intelligence)

Papers from Ian Beaver's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. GloVe: Global Vectors for Word Representation
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers