# PyKale

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pykale/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haiping Lu,Xianyuan Liu,Shuo Zhou,Robert D. Turner,Peizhen Bai,Raivo E. Koot,Mustafa Chasmai,Lawrence Schobs,Hao Xu |
| Citations | 5 |
| DOI | 10.1145/3511808.3557676 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4306317321 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Mustafa Chasmai](https://scholariq.org/researchers/mustafa-chasmai/)

## Paper journal

- [Proceedings of the 31st ACM International Conference on Information & Knowledge Management](https://scholariq.org/journals/proceedings-of-the-31st-acm-international-conference-on-information-and-amp/)

## Paper primary topic

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Paper topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.