Ming-Ho Yee

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Ho Yee trusts overall

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

  1. Jeremy G. Siek
  2. Sam Tobin-Hochstadt
  3. Arjun Guha
  4. Kevin Jesse
  5. Ronald Garcia
  6. Zeina Migeed
  7. Panagiotis Vekris
  8. Milod Kazerounian
  9. Vincent J. Hellendoorn
  10. Rabee Sohail Malik

Who trusts Ming-Ho Yee overall

  1. Raymond Li

Papers from Ming-Ho Yee's perspective

Ordered by how strongly the researchers Ming-Ho Yee trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers