Damian Campo

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Damian Campo trusts overall

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

1. Diederik P. Kingma
2. Max Welling
3. Eric A. Wan
4. Arnaud Doucet
5. Fredrik K. Gustafsson
6. D. Simon
7. Geoffrey E. Hinton
8. Mohamad Baydoun
9. Rudolph van der Merwe
10. Yoshua Bengio

Papers from Damian Campo's perspective

Ordered by how strongly the researchers Damian Campo 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders (2020) — 5 citations
• Learning Switching Models for Abnormality Detection for Autonomous Driving (2018) — 43 citations