Rakesh Chada

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Rakesh Chada trusts overall

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

  1. Leslie N. Smith
  2. Altaf Rahman
  3. Jacob Devlin
  4. Hector J. Levesque
  5. Bryan McCann
  6. Rowan Zellers
  7. Pranav Rajpurkar
  8. Rachel Rudinger
  9. Sameer Pradhan
  10. Kenton C. T. Lee

Who trusts Rakesh Chada overall

  1. Su Lin Blodgett
  2. Kellie Webster
  3. Yuval Varkel
  4. Marta Ruiz Costa-jussà
  5. Solon Barocas
  6. Amir Globerson
  7. Hal Daumé Iii
  8. Christian Hardmeier
  9. Hanna M. Wallach
  10. Will Radford

Papers from Rakesh Chada's perspective

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

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

Their papers