Yael Brumer

2016

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

Whom Yael Brumer trusts overall

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

  1. Yehuda Koren
  2. Tomas Mikolov

Papers from Yael Brumer's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. A Neural Probabilistic Language Model
  3. Matrix Factorization Techniques for Recommender Systems
  4. ITEM2VEC: Neural item embedding for collaborative filtering
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers