Eiji Aramaki

Conference on Empirical Methods in Natural Language Processing · 2006–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Eiji Aramaki trusts overall

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

  1. Stephen E. Robertson
  2. Wendy W. Chapman
  3. Karen Spärck Jones
  4. Corinna Cortes
  5. Leo Breiman

Who trusts Eiji Aramaki overall

  1. Korde
  2. Alexandra Olteanu
  3. Zexian Zeng
  4. Sarah Vieweg
  5. Glen A. Coppersmith
  6. Sardar Vallabhbhai
  7. Carlos Castillo
  8. Andrew J. Reagan
  9. Yuan Luo
  10. Yu Deng

Papers from Eiji Aramaki's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. ImageNet classification with deep convolutional neural networks
  5. Understanding the difficulty of training deep feedforward neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers