Bogdan Mazoure

Computer Vision and Pattern Recognition · 2018–2020

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

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 42 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Bogdan Mazoure trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yann LeCun
5. Marc'Aurelio Ranzato
6. Diederik P. Kingma
7. L. Eon Bottou
8. Alex Graves
9. Kaiming He
10. Ian J. Goodfellow

Papers from Bogdan Mazoure's perspective

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

Their papers

• Online Adaptative Curriculum Learning for GANs (2018) — 43 citations
• A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix (2020) — 120 citations