Tran Dinh Tien

Artificial Intelligence · 2023

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

Subfields

• Artificial Intelligence — 25 citations into it

Whom Tran Dinh Tien trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Paul Bergmann
4. Vitjan Zavrtanik
5. Alex Krizhevsky
6. Sergey Zagoruyko
7. Jimmy Ba
8. Kaiming He
9. Yoshua Bengio
10. Hanqiu Deng

Papers from Tran Dinh Tien's perspective

Ordered by how strongly the researchers Tran Dinh Tien trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Revisiting Reverse Distillation for Anomaly Detection (2023) — 298 citations