Natasha Seelam

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Natasha Seelam trusts

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

  1. Christopher D. Manning (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Quoc V. Le (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Kenton C. T. Lee (in Artificial Intelligence)
  6. Samuel R. Bowman (in Artificial Intelligence)
  7. Ilya Sutskever (in Artificial Intelligence)
  8. Luke S. Zettlemoyer (in Artificial Intelligence)
  9. Jimmy Ba (in Artificial Intelligence)
  10. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Natasha Seelam's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Language Models are Unsupervised Multitask Learners
  9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  10. Gradient-based learning applied to document recognition

Their papers