Pai-Shun Ting

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Pai-Shun Ting trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Yann LeCun
4. Nicholas Carlini
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Pai-Shun Ting overall

1. Zhichao Huang

Papers from Pai-Shun Ting's perspective

Ordered by how strongly the researchers Pai-Shun Ting trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives (2018) — 687 citations
• AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks (2018) — 452 citations