Michael Greenberg

Artificial Intelligence · with Nguyen · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Greenberg trusts overall

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

  1. Claudiu Saftoiu
  2. Jong-hoon An

Papers from Michael Greenberg's perspective

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

  1. Gradual Typing for Functional Languages
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep learning type inference
  4. Dynamic inference of static types for ruby
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. CodeBERT: A Pre-Trained Model for Programming and Natural Languages
  7. NL2Type: Inferring JavaScript Function Types from Natural Language Information
  8. The Curious Case of Neural Text Degeneration
  9. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  10. The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Their papers