Joo Hwee Lim
Artificial Intelligence · with Feng · 2019
A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Meta & Continual Learning — 16 citations into it; #923 of 1,041 by trust here, #827 by citations
- Optimization & Training — 9 citations into it
- Reinforcement Learning — 6 citations into it
- Signal Processing — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Joo Hwee Lim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- L. Eon Bottou
- Jimmy Ba
- Yoshua Bengio
- L. V. D. van der Maaten
- Li Deng
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
Who trusts Joo Hwee Lim overall
Papers from Joo Hwee Lim's perspective
Ordered by how strongly the researchers Joo Hwee Lim 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Variational Prototype Replays for Continual Learning (2019) — 16 citations
- Prototype Reminding for Continual Learning (2019) — 13 citations