Yi-An Ma

Artificial Intelligence · with Yang · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 110 citations into it
• Computer Vision and Pattern Recognition — 90 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Yi-An Ma trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Ross B. Girshick
6. Yann LeCun
7. Karen Simonyan
8. Diederik P. Kingma
9. Ilya Sutskever
10. Michael I. Jordan

Papers from Yi-An Ma's perspective

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

Their papers

• Software-hardware co-design for fast and scalable training of deep learning recommendation models (2021) — 209 citations
• High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models (2021) — 49 citations
• Deep Mixture of Experts via Shallow Embedding (2018) — 154 citations