Min Yang

Artificial Intelligence · with Ji · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #30,919 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Large Language Models — 10 citations into it; #660 of 799 by trust here, #707 by citations
• Privacy & Security — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Model Architectures — 6 citations into it

Whom Min Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Yoshua Bengio
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. Quoc V. Le
7. Vladimir Naumovich Vapni
8. Sergey Ioffe
9. Alex Krizhevsky
10. Alec Radford

Who trusts Min Yang overall

1. Sebastian Garcia
2. Maria Rigaki

Papers from Min Yang's perspective

Ordered by how strongly the researchers Min Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Privacy Risks of General-Purpose Language Models (2020) — 302 citations