Michaeel Kazi

Natural Language Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michaeel Kazi trusts overall

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

  1. Michel Galley
  2. Philipp Koehn

Papers from Michaeel Kazi's perspective

Ordered by how strongly the researchers Michaeel Kazi 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers