Junghwan Kim

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Information Systems — 15 citations into it
• Recommender Systems — 5 citations into it

Whom Junghwan Kim trusts overall

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

1. Hao Ma
2. Yehuda Koren
3. Ruslan Salakhutdinov
4. Ning Qian

Papers from Junghwan Kim's perspective

Ordered by how strongly the researchers Junghwan Kim 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• UniWalk: Explainable and Accurate Recommendation for Rating and Network Data (2017) — 37 citations