Yutao Sun
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Optimization & Training — 6 citations into it
Whom Yutao Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jimmy Ba
- Yoshua Bengio
- Sepp Hochreiter
- Ilya Sutskever
- Kaiming He
- Ashish Vaswani
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Yutao Sun overall
- Songlin Yang
- Cheng-Ping Hsieh
- Amirkeivan Mohtashami
- Shaohan Huang
- Bailin Wang
- Li Dong
- Simeng Sun
- Jiayu Ding
- Yue Liu
- Shuming Ma
Papers from Yutao Sun's perspective
Ordered by how strongly the researchers Yutao Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers (2023) — 401 citations
- A Length-Extrapolatable Transformer (2022) — 176 citations
- Retentive Network: A Successor to Transformer for Large Language Models (2023) — 719 citations