Minh-Ngoc Tran

Safety, Robustness & Interpretability · with Baracaldo · 2018

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

• Safety, Robustness & Interpretability — 43 citations into it

Whom Minh-Ngoc Tran trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Nicholas Carlini

Papers from Minh-Ngoc Tran's perspective

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

Their papers

• Adversarial Robustness Toolbox v1.0.0 (2018) — 573 citations