Duncan Dubugras Alcoba Ruiz

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 300 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 27 citations into it
• Artificial Intelligence — 16 citations into it; #22,834 of 35,345 by trust here, #34,213 by citations
• Optimization & Training — 10 citations into it
• Multimodal Learning — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Duncan Dubugras Alcoba Ruiz trusts overall

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

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

Who trusts Duncan Dubugras Alcoba Ruiz overall

1. Marc-André Zöller
2. Marco F. Huber

Papers from Duncan Dubugras Alcoba Ruiz's perspective

Ordered by how strongly the researchers Duncan Dubugras Alcoba Ruiz 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient Neural Architecture for Text-to-Image Synthesis (2020) — 25 citations
• Bandit-Based Automated Machine Learning (2018) — 11 citations