Hye-young Kim
with Kim · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Hye-young Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hye-young Kim overall
Papers from Hye-young Kim's perspective
Ordered by how strongly the researchers Hye-young Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Reinforcement Learning with Double Q-Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The internet of things: a survey (Information Systems Frontiers)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- IoT-Based Smart Rehabilitation System (IEEE Transactions on Industrial Informatics)
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
Their papers
- A load balancing scheme based on deep-learning in IoT (2016) — 52 citations