Umashanthi Pavalanathan

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Umashanthi Pavalanathan trusts overall

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

  1. Jacob Eisenstein
  2. Donald B. Rubin
  3. C. Frangakis
  4. Virgile Landeiro Dos Reis
  5. Paul R. Rosenbaum
  6. Justin Cheng
  7. Dirk Hovy
  8. Bo Han
  9. Zhiyuan Cheng
  10. Lev Muchnik

Who trusts Umashanthi Pavalanathan overall

  1. Alexandra Olteanu
  2. H. Roberts
  3. Carlos Castillo
  4. Mark Dredze
  5. Jonathan P. Sadler
  6. Fernando Diaz
  7. Anjalie Field
  8. Lee Chapman
  9. Su Lin Blodgett
  10. Emre Kıcıman

Papers from Umashanthi Pavalanathan's perspective

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

Their papers