Jinkyoo Park
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #25,887 of 35,345 by trust here, #34,213 by citations
- Reinforcement Learning — 12 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Jinkyoo Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jinkyoo Park overall
Papers from Jinkyoo Park's perspective
Ordered by how strongly the researchers Jinkyoo Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Mastering the game of Go with deep neural networks and tree search
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
Their papers
- Multi-Agent Actor-Critic with Hierarchical Graph Attention Network (2019) — 149 citations