Qingyun Dai

Generative Models · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Qingyun Dai trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton

Papers from Qingyun Dai's perspective

Ordered by how strongly the researchers Qingyun Dai 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. Going deeper with convolutions
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Improved Techniques for Training GANs
8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Improved Training of Spectral Normalization Generative Adversarial Networks (2020) — 14 citations