F. Ji

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 25 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 — 27 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Meta & Continual Learning — 8 citations into it

Whom F. Ji trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Ferenc Huszár
5. Sergey Zagoruyko
6. Yoshua Bengio

Papers from F. Ji's perspective

Ordered by how strongly the researchers F. Ji 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. Gradient-based learning applied to document recognition
4. Distilling the Knowledge in a Neural Network (arXiv.org)
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. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Continual Contrastive Learning for Cross-Dataset Scene Classification (2022) — 8 citations