Giwoong Lee
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- Meta & Continual Learning — 19 citations into it
- Optimization & Training — 18 citations into it; #1,646 of 2,601 by trust here, #2,081 by citations
- Reinforcement Learning — 10 citations into it
Whom Giwoong Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jia Deng
- R. Caruana
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Kaiming He
- Abhishek Kumar
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Giwoong Lee overall
Papers from Giwoong Lee's perspective
Ordered by how strongly the researchers Giwoong Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Federated Continual Learning with Weighted Inter-client Transfer (2020) — 322 citations
- Federated Continual Learning with Adaptive Parameter Communication (2020) — 17 citations
- Asymmetric multi-task learning based on task relatedness and loss (2016) — 109 citations