Papers by Waleed Mustafa
Continual Neural Topic Model (2026.eacl-long)
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| Challenge: | Continual Neural Topic Models (CoNTMs) learn topic models at subsequent time steps without forgetting what was previously learned. |
| Approach: | They propose a Continual Neural Topic Model which continuously learns topic models at subsequent time steps without forgetting what was previously learned. |
| Outcome: | The proposed model outperforms the dynamic topic model in topic quality and predictive perplexity while being able to capture topic changes online. |