Baigui Sun

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it
• Representation & Self-Supervised Learning — 31 citations into it
• Computational Mechanics — 7 citations into it
• Model Architectures — 6 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Baigui Sun trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Christian Szegedy
5. Yoshua Bengio
6. Ilya Sutskever
7. Sergey Ioffe
8. Yann LeCun
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Who trusts Baigui Sun overall

1. Arthur Douillard

Papers from Baigui Sun's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• SoftTriple Loss: Deep Metric Learning Without Triplet Sampling (2019) — 432 citations
• Dash: Semi-Supervised Learning with Dynamic Thresholding (2021) — 300 citations