Yejin Kim
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it
- Computational Mathematics — 17 citations into it; #611 of 612 by trust here, #372 by citations
- Health Information Management — 13 citations into it
- Medical & Health AI — 9 citations into it
- Complementary and alternative medicine — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Signal Processing — 5 citations into it
Whom Yejin Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joyce Ho
- Cynthia Dwork
- Mohammed Saeed
- Joydeep Ghosh
- Mingyi Hong
- Jimeng Sun
- Shawn N. Murphy
- Zhouchen Lin
- Robert J. Carroll
- Lea Kissner
Who trusts Yejin Kim overall
- Jing Ma
- Rodolfo Stoffel Antunes
- Jie Xu
- Jian Lou
- Xiaoqian Jiang
- Jimeng Sun
- Cristiano André da Costa
- Peter Kairouz
Papers from Yejin Kim's perspective
Ordered by how strongly the researchers Yejin Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS