Jen-Tse Huang

Artificial Intelligence · 2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jen-Tse Huang trusts overall

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

  1. Matt Post
  2. Maja Popovic
  3. Paul Christiano
  4. Naman Goyal
  5. Salim Roukos

Papers from Jen-Tse Huang's perspective

Ordered by how strongly the researchers Jen-Tse Huang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Bleu: a Method for Automatic Evaluation of Machine Translation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers