Sang-Woon Kim

Hum. centric Comput. Inf. Sci. · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sang-Woon Kim trusts overall

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

1. David M. Blei
2. Andrew Y. Ng
3. Michael I. Jordan

Papers from Sang-Woon Kim's perspective

Ordered by how strongly the researchers Sang-Woon 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. Latent Dirichlet Allocation
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Research paper classification systems based on TF-IDF and LDA schemes (2019) — 335 citations