Mingkai Deng
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it
- Natural Language Processing — 88 citations into it
- Evaluation & Benchmarks — 33 citations into it
Whom Mingkai Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Alex Krizhevsky
- Richard Socher
- Kaiming He
- Jimmy Ba
- Jacob Devlin
Who trusts Mingkai Deng overall
- Sebastian Gehrmann
- Yuheng Zha
- Melanie Sclar
- Ming Zhong
- Or Honovich
- Yuxin Wen
- Yixin Liu
- Elizabeth Clark
- Yichi Yang
Papers from Mingkai Deng's perspective
Ordered by how strongly the researchers Mingkai Deng 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning (2022) — 520 citations
- Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation (2021) — 83 citations