Jun Ma

Artificial Intelligence · with Ren · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #32,782 of 35,345 by trust here, #14,438 by citations
• Information Systems — 39 citations into it; #7,856 of 8,771 by trust here, #2,667 by citations
• Computer Vision and Pattern Recognition — 36 citations into it
• Natural Language Processing — 23 citations into it
• Recommender Systems — 23 citations into it
• Model Architectures — 13 citations into it
• Management Science and Operations Research — 7 citations into it; #10,966 of 11,946 by trust here, #3,047 by citations
• Optimization & Training — 7 citations into it

Whom Jun Ma trusts overall

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

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

Who trusts Jun Ma overall

1. Xiangnan He

Papers from Jun Ma's perspective

Ordered by how strongly the researchers Jun 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Neural Attentive Session-based Recommendation (2017) — 1,622 citations
• Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation (2018) — 118 citations