Jiashuo Liu | DeepAI

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∙ 07/11/2023

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets

Different distribution shifts require different algorithmic and operatio...

0 Jiashuo Liu, et al. ∙

∙ 05/25/2023

Meta Adaptive Task Sampling for Few-Domain Generalization

To ensure the out-of-distribution (OOD) generalization performance, trad...

0 Zheyan Shen, et al. ∙

∙ 05/24/2023

Rethinking the Evaluation Protocol of Domain Generalization

Domain generalization aims to solve the challenge of Out-of-Distribution...

0 Han Yu, et al. ∙

∙ 05/21/2023

Exploring and Exploiting Data Heterogeneity in Recommendation

Massive amounts of data are the foundation of data-driven recommendation...

0 Zimu Wang, et al. ∙

∙ 04/01/2023

Predictive Heterogeneity: Measures and Applications

As an intrinsic and fundamental property of big data, data heterogeneity...

0 Jiashuo Liu, et al. ∙

∙ 06/07/2022

Distributionally Invariant Learning: Rationalization and Practical Algorithms

The invariance property across environments is at the heart of invariant...

0 Jiashuo Liu, et al. ∙

∙ 03/27/2022

Towards Domain Generalization in Object Detection

Despite the striking performance achieved by modern detectors when train...

18 Xingxuan Zhang, et al. ∙

∙ 10/24/2021

Kernelized Heterogeneous Risk Minimization

The ability to generalize under distributional shifts is essential to re...

0 Jiashuo Liu, et al. ∙

∙ 08/31/2021

Towards Out-Of-Distribution Generalization: A Survey

Classic machine learning methods are built on the i.i.d. assumption that...

7 Zheyan Shen, et al. ∙

∙ 06/30/2021

Distributionally Robust Learning with Stable Adversarial Training

Machine learning algorithms with empirical risk minimization are vulnera...

0 Jiashuo Liu, et al. ∙

∙ 05/09/2021

Heterogeneous Risk Minimization

Machine learning algorithms with empirical risk minimization usually suf...

0 Jiashuo Liu, et al. ∙

∙ 06/08/2020

Invariant Adversarial Learning for Distributional Robustness

Machine learning algorithms with empirical risk minimization are vulnera...

0 Jiashuo Liu, et al. ∙

∙ 12/20/2019

Triple Generative Adversarial Networks

Generative adversarial networks (GANs) have shown promise in image gener...

28 Chongxuan Li, et al. ∙

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