Chongkai Gao

Artificial Intelligence · 2023

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 — 47 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Chongkai Gao trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Li Deng
6. Yann LeCun
7. Jimmy Ba
8. Kaiming He
9. Ilya Sutskever
10. Jia Deng

Papers from Chongkai Gao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning (2023) — 1,206 citations