Mohak Sukhwani

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohak Sukhwani trusts overall

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

  1. Chin-Yew Lin
  2. Franz Joseph Och
  3. Kenneth Heafield

Papers from Mohak Sukhwani's perspective

Ordered by how strongly the researchers Mohak Sukhwani 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers