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Binhang Qi

2 accepted papers

2025

CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging

ICML 2025poster

Model merging based on task vectors, i.e., the parameter differences between fine-tuned models and a shared base model, provides an efficient way to integrate multiple task-specific models into a multitask model without retraining. Recent works have endeavored to address the conflicts between task v…

Cited by 0SourcePDFScholar
2025

Clustering Properties of Self-Supervised Learning

ICML 2025poster

Self-supervised learning (SSL) methods via joint embedding architectures have proven remarkably effective at capturing semantically rich representations with strong clustering properties, magically in the absence of label supervision. Despite this, few of them have explored leveraging these untapped…

Cited by 0SourcePDFScholar