Tenghao Huang
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it
Whom Tenghao Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tenghao Huang's perspective
Ordered by how strongly the researchers Tenghao Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning (2022) — 1,382 citations