Ryan Marten

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 155 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 196 citations into it
• Artificial Intelligence — 180 citations into it
• Multimodal Learning — 65 citations into it

Whom Ryan Marten trusts overall

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

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

Papers from Ryan Marten's perspective

Ordered by how strongly the researchers Ryan Marten 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DataComp: In search of the next generation of multimodal datasets (2023) — 734 citations
• Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action (2023) — 353 citations