Tran Ngoc Minh

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Safety, Robustness & Interpretability — 38 citations into it

Whom Tran Ngoc Minh trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Nicolas Papernot
4. Geoffrey E. Hinton
5. Nicholas Carlini
6. Alex Krizhevsky
7. Alexey Kurakin
8. Yoshua Bengio

Papers from Tran Ngoc Minh's perspective

Ordered by how strongly the researchers Tran Ngoc Minh 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. Gradient-based learning applied to document recognition
4. Intriguing properties of neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Explaining and Harnessing Adversarial Examples
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• IBM Federated Learning: an Enterprise Framework White Paper V0.1 (2020) — 198 citations
• Adversarial Robustness Toolbox v0.2.2 (2018) — 59 citations