Yun Sing Koh
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 84 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #28,703 of 35,345 by trust here, #33,294 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Information Systems — 19 citations into it
- Computational Theory and Mathematics — 14 citations into it
- Meta & Continual Learning — 14 citations into it
- Signal Processing — 12 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Yun Sing Koh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Mark B. Ring
- Geoffrey E. Hinton
- Yuhai Wu
- Geli Fei
- Vladimir Naumovich Vapnik
- Alex Krizhevsky
- Bernhard Schölkopf
- Diederik P. Kingma
- Yann LeCun
Who trusts Yun Sing Koh overall
Papers from Yun Sing Koh's perspective
Ordered by how strongly the researchers Yun Sing Koh 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Towards Knowledgeable Supervised Lifelong Learning Systems (2020) — 11 citations
- A Survey of Sequential Pattern Mining (2017) — 559 citations