Jiacheng Sun

Artificial Intelligence · with He · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Computer Vision and Pattern Recognition — 52 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Jiacheng Sun trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Christian Szegedy
6. Yoshua Bengio
7. Jia Deng
8. Ilya Sutskever
9. Quoc V. Le
10. Barret Zoph

Papers from Jiacheng Sun's perspective

Ordered by how strongly the researchers Jiacheng Sun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DARTS+: Improved Differentiable Architecture Search with Early Stopping (2019) — 317 citations
• Improved OOD Generalization via Adversarial Training and Pre-training (2021) — 101 citations