Yue Yang

Artificial Intelligence · with Callison-Burch · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 59 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Yue Yang trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Oriol Vinyals
6. Kaiming He
7. Jimmy Ba
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Yue Yang overall

1. Sarah Pratt
2. Rosanne Liu

Papers from Yue Yang's perspective

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

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

Their papers

• Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models (2024) — 410 citations
• Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification (2022) — 386 citations