Gu Jin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Gu Jin trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Alex M. Andrew
4. Sepp Hochreiter
5. Christian Szegedy
6. Geoffrey E. Hinton
7. Sergey Zagoruyko
8. Yoshua Bengio
9. J. Urgen Schmidhuber
10. David E. Goldberg

Who trusts Gu Jin overall

1. Jie Ren

Papers from Gu Jin's perspective

Ordered by how strongly the researchers Gu Jin 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• SwapAdvisor: Pushing Deep Learning Beyond the GPU Memory Limit via Smart Swapping (2020) — 233 citations