Weiwei Yang

Artificial Intelligence · with Dey · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 52 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 114 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Representation & Self-Supervised Learning — 51 citations into it
• Natural Language Processing — 26 citations into it
• Statistics and Probability — 19 citations into it; #11,611 of 12,932 by trust here, #7,508 by citations
• Statistical Learning Theory — 16 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Model Architectures — 11 citations into it

Whom Weiwei Yang trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yann LeCun
6. Jonathan Baxter
7. Ilya Sutskever
8. Karen Simonyan
9. Kaiming He
10. Alec Radford

Who trusts Weiwei Yang overall

1. Hayden S. Helm

Papers from Weiwei Yang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A partition-based similarity for classification distributions (2020) — 6 citations
• A Statistical Turing Test for Generative Models (2023)
• Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis (2023)
• Discovering a change point in a time series of organoid networks via the iso-mirror (2023)
• Mental State Classification Using Multi-Graph Features (2022)
• Inducing a hierarchy for multi-class classification problems (2021)
• Omnidirectional Transfer for Quasilinear Lifelong Learning (2021)
• A general approach to progressive learning (2020) — 10 citations