Yan Wang

Artificial Intelligence · with Huang · 2023

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

Subfields

Whom Yan Wang trusts

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

  1. Josh Tenenbaum (in Artificial Intelligence)

Papers from Yan Wang's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. VQA: Visual Question Answering
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Human-level concept learning through probabilistic program induction
  10. Training language models to follow instructions with human feedback (Neural Information Processing Systems)

Their papers