Joongheon Kim
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it
- Electrical and Electronic Engineering — 40 citations into it
- Computer Networks and Communications — 35 citations into it
Whom Joongheon Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Joongheon Kim overall
Papers from Joongheon Kim's perspective
Ordered by how strongly the researchers Joongheon 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Energy-efficient rate-adaptive GPS-based positioning for smartphones (2010) — 553 citations
- Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications (2020) — 185 citations