Ming-Ting Sun
Artificial Intelligence · with Zhang · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it
- Computer Vision and Pattern Recognition — 59 citations into it
- Natural Language Processing — 50 citations into it
- Generative Models — 18 citations into it
- Safety, Robustness & Interpretability — 18 citations into it
Whom Ming-Ting Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Sepp Hochreiter
- Alex Graves
- Richard S. Sutton
Who trusts Ming-Ting Sun overall
Papers from Ming-Ting Sun's perspective
Ordered by how strongly the researchers Ming-Ting Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- 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
- Adversarial Ranking for Language Generation (2017) — 350 citations
- Contextualized Perturbation for Textual Adversarial Attack (2020) — 285 citations
- OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation (2021) — 41 citations