Hichem Sahbi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 272 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #25,416 of 35,345 by trust here, #34,943 by citations
• Computer Vision and Pattern Recognition — 31 citations into it
• Meta & Continual Learning — 18 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Reinforcement Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Hichem Sahbi trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Sergey Ioffe
7. Sebastian Thrun
8. Yann LeCun
9. Christian Szegedy
10. Marc'Aurelio Ranzato

Who trusts Hichem Sahbi overall

1. Mustafa Burak Gurbuz
2. C. Dovrolis

Papers from Hichem Sahbi's perspective

Ordered by how strongly the researchers Hichem Sahbi 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning (2021) — 7 citations