Xinping Yi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 102 citations into it
• Safety, Robustness & Interpretability — 84 citations into it
• Software — 12 citations into it
• Program Analysis & Verification — 8 citations into it

Whom Xinping Yi trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton

Papers from Xinping Yi's perspective

Ordered by how strongly the researchers Xinping Yi 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. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Explaining and Harnessing Adversarial Examples
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability (2018) — 607 citations