Rahul Bhagat

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Bhagat trusts overall

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

  1. Dekang Lin
  2. Regina Barzilay
  3. William B. Dolan
  4. Marti A. Hearst
  5. Moses Charikar
  6. Thorsten Brants
  7. Chris Callison-Burch
  8. Patrick Pantel
  9. Colin Bannard
  10. Deepak Ravichandran

Who trusts Rahul Bhagat overall

  1. Ion Androutsopoulos
  2. Zhengbao Jiang
  3. Yanai Elazar
  4. Prodromos Malakasiotis
  5. Yangfeng Ji
  6. Abhilasha Ravichander
  7. Frank F. Xu
  8. Brian Thompson
  9. Nitin Madnani
  10. Nora Kassner

Papers from Rahul Bhagat's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet classification with deep convolutional neural networks
  9. Bleu: a Method for Automatic Evaluation of Machine Translation
  10. Gradient-based learning applied to document recognition

Their papers