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Huynh Dang Nguyen

1 accepted papers

2026

CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization

ICLR 2026poster

Mixture-of-Experts (MoE) architectures have emerged as a promising approach for scaling deep learning models while maintaining computational efficiency. However, existing MoE adaptations for Contrastive Language-Image Pre-training (CLIP) models suffer from significant computational overhead during s…

Cited by 0SourceScholar