Jie Ma

Artificial Intelligence · with Achille · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it
• Natural Language Processing — 36 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Model Architectures — 9 citations into it

Whom Jie Ma trusts overall

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

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

Papers from Jie Ma's perspective

Ordered by how strongly the researchers Jie Ma 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Structured Prediction as Translation between Augmented Natural Languages (2021) — 364 citations
• Federated Learning from Pre-Trained Models: A Contrastive Learning Approach (2022) — 296 citations