Wenny Rahayu

Artificial Intelligence · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Privacy & Security — 35 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Sociology and Political Science — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Wenny Rahayu trusts overall

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

1. Cynthia Dwork
2. Radford M. Neal
3. Geoffrey E. Hinton
4. Ian J. Goodfellow
5. Alex Krizhevsky
6. H. Brendan McMahan
7. Ilya Mironov
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Papers from Wenny Rahayu's perspective

Ordered by how strongly the researchers Wenny Rahayu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Intriguing properties of neural networks
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• When Machine Learning Meets Privacy (2020) — 350 citations