Jun Song

Artificial Intelligence · with Wu · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Natural Language Processing — 8 citations into it
• Information Retrieval & Search — 7 citations into it

Whom Jun Song trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Antoine Bordes
4. Ni Lao
5. Alex Krizhevsky
6. George A. Miller
7. Xavier Glorot
8. Jason Aaron Edward Weston
9. Ilya Sutskever
10. Karen Simonyan

Papers from Jun Song's perspective

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

Their papers

• Learning of Multimodal Representations With Random Walks on the Click Graph (2016) — 47 citations
• Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base (2015) — 14 citations