Stephen Marcus McAleer

Artificial Intelligence · with Azerbayev · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Marcus McAleer trusts

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

  1. Stanislas Polu (in Artificial Intelligence)
  2. Ilya Sutskever (in Artificial Intelligence)
  3. The mathlib Community (in Artificial Intelligence)
  4. W. G. Bickley (in Program Analysis & Verification)
  5. Tri Dao (in Computer Vision and Pattern Recognition)

Papers from Stephen Marcus McAleer's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  9. Scaling Laws for Neural Language Models (arXiv.org)
  10. Finetuned Language Models Are Zero-Shot Learners

Their papers