Search Results for author: Xi Yu

Found 5 papers, 4 papers with code

Adversarial Reweighting for Partial Domain Adaptation

1 code implementation NeurIPS 2021 Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu

To tackle the challenge of negative domain transfer, we propose a novel Adversarial Reweighting (AR) approach that adversarially learns the weights of source domain data to align the source and target domain distributions, and the transferable deep recognition network is learned on the reweighted source domain data.

Partial Domain Adaptation

Gated Information Bottleneck for Generalization in Sequential Environments

1 code implementation12 Oct 2021 Francesco Alesiani, Shujian Yu, Xi Yu

By learning minimum sufficient representations from training data, the information bottleneck (IB) approach has demonstrated its effectiveness to improve generalization in different AI applications.

Adversarial Robustness OOD Detection +1

Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional

1 code implementation31 Jan 2021 Xi Yu, Shujian Yu, Jose C. Principe

We introduce the matrix-based Renyi's $\alpha$-order entropy functional to parameterize Tishby et al. information bottleneck (IB) principle with a neural network.

Variational Inference

Measuring Dependence with Matrix-based Entropy Functional

1 code implementation25 Jan 2021 Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose C. Principe

Measuring the dependence of data plays a central role in statistics and machine learning.

Outlier Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.