Beunguk Ahn
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 Beunguk Ahn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Beunguk Ahn's perspective
Ordered by how strongly the researchers Beunguk Ahn trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Probabilistic Matrix Factorization
- Gradient-based learning applied to document recognition
- DeepWalk: online learning of social representations
- Learning Multiple Layers of Features from Tiny Images
- Factorization meets the neighborhood: a multifaceted collaborative filtering model
Their papers
- UniWalk: Explainable and Accurate Recommendation for Rating and Network Data (2017) — 37 citations