# Self-challenging Improves Cross-Domain Generalization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/self-challenging-improves-cross-domain-generalization/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zeyi Huang,Haohan Wang,Eric P. Xing,Dong Huang |
| Citations | 501 |
| DOI | 10.1007/978-3-030-58536-5_8 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3038585207 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Dong Huang](https://scholariq.org/researchers/dong-huang/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Paper topics

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.