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Home/Authors/Hesam Asadollahzadeh

Hesam Asadollahzadeh

1 indexed paper

Recent (6 mo)
1
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Publications per year

1
26

Top categories

ML×1AI×1Vision×1

Frequent co-authors

Feng Liu1×
Christopher Leckie1×
Sarah M. Erfani1×

Research Timeline

2026
TRACER: Persistent Regularization for Robust Multimodal Finetuning

The paper introduces TRACER, a novel regularization framework that uses Weighted Moving Average (WMA) distillation to robustly finetune multimodal models, mitigating catastrophic forgetting and improving out-of-distribution performance.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.CVRecentMay 28, 2026

TRACER: Persistent Regularization for Robust Multimodal Finetuning

Hesam Asadollahzadeh, Feng Liu, Christopher Leckie, Sarah M. Erfani

The paper introduces TRACER, a novel regularization framework that uses Weighted Moving Average (WMA) distillation to robustly finetune multimodal models, mitigating catastrophic forgetting and improv…

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