Ekaterina Garmash

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Ekaterina Garmash trusts overall

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

  1. John C. Duchi
  2. Thang Luong
  3. Wang Ling
  4. Elad Hazan
  5. Hieu Pham
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Isabel Trancoso

Who trusts Ekaterina Garmash overall

  1. Yuta Nishimura
  2. Raj Dabre
  3. Toufique Ahmed
  4. Alexander LeClair
  5. Danielle Saunders
  6. Katsuhito Sudoh
  7. Marina Fomicheva
  8. Prem Devanbu
  9. Graham Neubig
  10. Siyuan Jiang

Papers from Ekaterina Garmash's perspective

Ordered by how strongly the researchers Ekaterina Garmash 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers