Qi Song

Artificial Intelligence · with Deng · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Qi Song trusts overall

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

1. James Martens
2. Boris Polyak
3. Diederik P. Kingma
4. Roberto Battiti
5. Ilya Sutskever
6. John C. Duchi
7. Geoffrey E. Hinton
8. Kaare Brandt Petersen
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Qi Song overall

1. Youngjae Min

Papers from Qi Song's perspective

Ordered by how strongly the researchers Qi Song 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. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. Learning Multiple Layers of Features from Tiny Images
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

• Revisiting Recursive Least Squares for Training Deep Neural Networks (2021) — 7 citations