Vincent Gripon

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 277 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #17,702 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 37 citations into it; #28,836 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 17 citations into it
• Model Architectures — 7 citations into it
• Efficiency & Compression — 6 citations into it
• Media Technology — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Vincent Gripon trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Oriol Vinyals
9. Karen Simonyan
10. Andrew Zisserman

Who trusts Vincent Gripon overall

1. Bharat Bhusan Sau

Papers from Vincent Gripon's perspective

Ordered by how strongly the researchers Vincent Gripon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Toward an uncertainty principle for weighted graphs (2015) — 30 citations
• Leveraging the Feature Distribution in Transfer-based Few-Shot Learning (2020) — 189 citations
• Compression of Deep Neural Networks on the Fly (2015) — 26 citations