Choon Hui Teo
Artificial Intelligence · 2007–2011
A researcher in the Science corpus: 7 papers; trusts 67 researchers and is trusted by 81 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #13,174 of 35,345 by trust here, #13,962 by citations
- Optimization & Training — 23 citations into it; #488 of 2,601 by trust here, #649 by citations
- Statistical Learning Theory — 21 citations into it; #452 of 1,038 by trust here, #365 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Statistics and Probability — 14 citations into it; #871 of 12,932 by trust here, #498 by citations
- Natural Language Processing — 12 citations into it
- Signal Processing — 12 citations into it
- Information Systems — 11 citations into it
Whom Choon Hui Teo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Alex Smola
- S. Sathiya Keerthi
- Christopher K. I. Williams
- Ioannis Tsochantaridis
- Vladimir Naumovich Vapnik
- Chih-Jen Lin
- Shai Shalev-Shwartz
- Olivier Chapelle
- Thomas Hofmann
Who trusts Choon Hui Teo overall
- Battista Biggio
- Michael Brückner
- Arthur Gretton
- Kenji Fukumizu
- Quoc V. Le
- Bernhard Schölkopf
- Vojtech Franc
- Fabio Roli
- Giorgio Fumera
- Bharath K. Sriperumbudur
Papers from Choon Hui Teo's perspective
Ordered by how strongly the researchers Choon Hui Teo 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)
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Bundle Methods for Regularized Risk Minimization (2010) — 280 citations
- A Kernel Statistical Test of Independence (2007) — 1,066 citations
- A scalable modular convex solver for regularized risk minimization (2007) — 199 citations
- Tighter Bounds for Structured Estimation (2008) — 73 citations
- Scalable clustering of news search results (2011) — 28 citations
- Feature Weighting for Improved Classifier Robustness (2009) — 141 citations
- Convex Learning with Invariances (2007) — 114 citations