P. Janson

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Meta & Continual Learning — 13 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom P. Janson trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Zhizhong Li
7. Yann LeCun
8. Vincenzo Lomonaco
9. Ilya Sutskever
10. Alexander Kolesnikov

Who trusts P. Janson overall

1. Liyuan Wang
2. Dipam Goswami
3. Xingxing Zhang
4. Albin Soutif-Cormerais

Papers from P. Janson's perspective

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

Their papers

• A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning (2022) — 65 citations