Suranga Nanayakkara

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Suranga Nanayakkara trusts

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

  1. Jason Aaron Edward Weston (in Artificial Intelligence)
  2. Kenton C. T. Lee (in Artificial Intelligence)
  3. Ming-Wei Chang (in Artificial Intelligence)
  4. Luke S. Zettlemoyer (in Artificial Intelligence)
  5. Jacob Devlin (in Artificial Intelligence)
  6. Diederik P. Kingma (in Artificial Intelligence)
  7. Yoshua Bengio (in Artificial Intelligence)
  8. Richard Socher (in Artificial Intelligence)
  9. Kristina Toutanova (in Artificial Intelligence)
  10. Percy Liang (in Artificial Intelligence)

Papers from Suranga Nanayakkara's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  10. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Their papers