Hinda Haned

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Signal Processing — 5 citations into it

Whom Hinda Haned trusts overall

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

1. Jerome H. Friedman
2. Gabriele Tolomei
3. Chris Russell
4. Diederik P. Kingma
5. Trevor J. Hastie
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Ian J. Goodfellow
9. Marco Tulio Ribeiro
10. Amir-Hossein Karimi

Papers from Hinda Haned's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Intriguing properties of neural networks
5. Gradient-based learning applied to document recognition
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Attention is All you Need (Neural Information Processing Systems)
8. Explaining and Harnessing Adversarial Examples
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles (2019) — 95 citations
• Explaining Predictions from Tree-based Boosting Ensembles (2019) — 6 citations