Changsung Moon

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #28,658 of 35,345 by trust here, #33,294 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Changsung Moon trusts overall

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

1. Maximilian Nickel
2. L. V. D. van der Maaten
3. Geoffrey E. Hinton
4. Antoine Bordes
5. John C. Duchi
6. Ruobing Xie
7. Yoshua Bengio
8. Jason Aaron Edward Weston
9. Elad Hazan
10. Alex Krizhevsky

Who trusts Changsung Moon overall

1. Avishek Joey Bose
2. William L. Hamilton
3. Sang-Min Park

Papers from Changsung Moon's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Learning Entity Type Embeddings for Knowledge Graph Completion (2017) — 112 citations