Long Tran-Thanh

Artificial Intelligence · with Bouzerdoum · 2022

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Long Tran-Thanh trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Umberto Michieli
4. Alex Krizhevsky

Papers from Long Tran-Thanh's perspective

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

Their papers

• Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation (2022) — 83 citations