Anirban Laha

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 Anirban Laha trusts overall

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

  1. Chin-Yew Lin
  2. Franz Joseph Och

Papers from Anirban Laha's perspective

Ordered by how strongly the researchers Anirban Laha 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. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  6. ROUGE: A Package for Automatic Evaluation of Summaries
  7. Im2Text: Describing Images Using 1 Million Captioned Photographs
  8. Moses: Open Source Toolkit for Statistical Machine Translation
  9. Long Short-Term Memory
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers