Picture for Daniel Ting

Daniel Ting

Few-Shot Domain Adaptation with Polymorphic Transformers

Jul 10, 2021
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Ting, Rick Siow Mong Goh

Figure 1 for Few-Shot Domain Adaptation with Polymorphic Transformers

Figure 2 for Few-Shot Domain Adaptation with Polymorphic Transformers

Figure 3 for Few-Shot Domain Adaptation with Polymorphic Transformers

Figure 4 for Few-Shot Domain Adaptation with Polymorphic Transformers

* MICCAI'2021 camera ready

Access Paper or Ask Questions

Manifold Learning via Manifold Deflation

Jul 07, 2020
Daniel Ting, Michael I. Jordan

Figure 1 for Manifold Learning via Manifold Deflation

Figure 2 for Manifold Learning via Manifold Deflation

Figure 3 for Manifold Learning via Manifold Deflation

Figure 4 for Manifold Learning via Manifold Deflation

Access Paper or Ask Questions

On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Mar 06, 2018
Daniel Ting, Michael I. Jordan

Figure 1 for On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Figure 2 for On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Figure 3 for On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Figure 4 for On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding

Access Paper or Ask Questions

Optimal Sub-sampling with Influence Functions

Sep 06, 2017
Daniel Ting, Eric Brochu

Figure 1 for Optimal Sub-sampling with Influence Functions

Figure 2 for Optimal Sub-sampling with Influence Functions

Access Paper or Ask Questions

Adaptive Threshold Sampling and Estimation

Aug 16, 2017
Daniel Ting

Figure 1 for Adaptive Threshold Sampling and Estimation

Access Paper or Ask Questions

Online Semi-Supervised Learning on Quantized Graphs

Mar 15, 2012
Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting

Figure 1 for Online Semi-Supervised Learning on Quantized Graphs

Figure 2 for Online Semi-Supervised Learning on Quantized Graphs

Figure 3 for Online Semi-Supervised Learning on Quantized Graphs

Figure 4 for Online Semi-Supervised Learning on Quantized Graphs

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Access Paper or Ask Questions

An Analysis of the Convergence of Graph Laplacians

Jan 28, 2011
Daniel Ting, Ling Huang, Michael Jordan

Figure 1 for An Analysis of the Convergence of Graph Laplacians

Figure 2 for An Analysis of the Convergence of Graph Laplacians

Access Paper or Ask Questions