Dylan Baker

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dylan Baker trusts overall

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

  1. Steven Bird
  2. Zeerak Talat
  3. Vinodkumar Prabhakaran
  4. David Bamman
  5. Burt L. Monroe
  6. Ben Hutchinson
  7. Keita Kurita
  8. Victor Sanh
  9. Chandler May

Who trusts Dylan Baker overall

  1. Tanmay Garg

Papers from Dylan Baker's perspective

Ordered by how strongly the researchers Dylan Baker 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers