Deliang Wang

Artificial Intelligence · with Guo · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deliang Wang trusts overall

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

  1. Alec Radford
  2. J. Bitchener
  3. Miao Yang
  4. Jacob Devlin
  5. Jeff Wu
  6. Long Ouyang
  7. Nisan Stiennon

Papers from Deliang Wang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Language Models are Unsupervised Multitask Learners
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers