Ting Wang
Artificial Intelligence · with Lund · 2023
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
Whom Ting Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ting Wang's perspective
Ordered by how strongly the researchers Ting Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Improving Language Understanding by Generative Pre-Training
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition