# LSEBMCL: A Latent Space Energy-Based Model for Continual Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lsebmcl-a-latent-space-energy-based-model-for-continual-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaodi Li,Dingcheng Li,Rujun Gao,Mahmoud Zamani,Latifur Khan |
| Citations | 2 |
| DOI | 10.1109/icaiic64266.2025.10920838 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4408610086 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Dingcheng Li](https://scholariq.org/researchers/dingcheng-li/)

## 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/)
- [Speech Recognition and Synthesis](https://scholariq.org/topics/speech-recognition-and-synthesis/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-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.