Kian Ming Adam Chai
Artificial Intelligence · 2007–2014
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 64 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Natural Language Processing — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Kian Ming Adam Chai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Edwin V. Bonilla
- Christopher K. I. Williams
- Jonathan Baxter
- R. Caruana
- Yee Whye Teh
- Thorsten Joachims
- Sebastian Thrun
- Andreas Maurer
- Vladimir Naumovich Vapni
- Masahiko Haruno
Who trusts Kian Ming Adam Chai overall
- Yu Zhang
- Mauricio A Álvarez
- Qiang Yang
- Yu Zhang
- Dit-Yan Yeung
- Haitao Liu
- Neil D. Lawrence
- Lorenzo Rosasco
- Michalis K. Titsias
- Yew-Soon Ong
Papers from Kian Ming Adam Chai's perspective
Ordered by how strongly the researchers Kian Ming Adam Chai 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Multitask Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Language modeling with sum-product networks (2014) — 83 citations
- Optimizing F-measure: A Tale of Two Approaches (2012) — 135 citations
- Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes (2009) — 37 citations
- Multi-task Gaussian Process Learning of Robot Inverse Dynamics (2008) — 126 citations
- Multi-task Gaussian Process Prediction (2007) — 1,357 citations