Andi Wang

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andi Wang trusts

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

  1. Jimmy Ba (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Alec Radford (in Large Language Models)

Papers from Andi Wang's perspective

Ordered by how strongly the researchers Andi Wang 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. Layer Normalization
  4. Language Models are Unsupervised Multitask Learners
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Improving Language Understanding by Generative Pre-Training
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Long Short-Term Memory

Their papers