Qin Cao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Optimization & Training — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Qin Cao trusts

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

1. Xavier Gastaldi (in Computer Vision and Pattern Recognition)
2. W. E (in Artificial Intelligence)
3. Maizar Raissi (in Artificial Intelligence)

Papers from Qin Cao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Dropout: a simple way to prevent neural networks from overfitting
3. Towards Deep Learning Models Resistant to Adversarial Attacks
4. ImageNet classification with deep convolutional neural networks
5. Deep Networks with Stochastic Depth
6. Gradient-based learning applied to document recognition
7. Towards Evaluating the Robustness of Neural Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Their papers

• Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise (2019) — 171 citations