Jaehong Kim
Artificial Intelligence · with Kim · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 395 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #1,555 of 35,345 by trust here, #1,590 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #2,095 of 21,575 by trust here, #1,195 by citations
- Model Architectures — 11 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Meta & Continual Learning — 8 citations into it
- Generative Models — 5 citations into it
Whom Jaehong Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Quoc V. Le
- Ilya Sutskever
- Kaiming He
Who trusts Jaehong Kim overall
- Zixuan Ke
- Fei Ye
- Mohammad Rostami
- Timothée Lesort
- Gido M. van de Ven
- Bing Liu
- Gyuhak Kim
- Jiangpeng He
- Arthur Douillard
- Umberto Michieli
Papers from Jaehong Kim's perspective
Ordered by how strongly the researchers Jaehong 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Continual Learning with Deep Generative Replay (2017) — 2,523 citations
- Auto-Meta: Automated Gradient Based Meta Learner Search (2018) — 44 citations