Grégoire Petit

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Meta & Continual Learning — 27 citations into it

Whom Grégoire Petit trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Eden Belouadah
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Fei Zhu
9. Ross B. Girshick
10. X. Zhang

Who trusts Grégoire Petit overall

1. Da-Wei Zhou
2. Liyuan Wang
3. Dipam Goswami
4. Simone Magistri
5. Qiwen Wang
6. Grzegorz Rype's'c
7. Albin Soutif-Cormerais
8. Xingxing Zhang

Papers from Grégoire Petit's perspective

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

Their papers

• FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning (2022) — 201 citations