1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning
Chuan Qin, Constantin Venhoff, Sonia Joseph +2
Contrastive Language-Image Pre-training (CLIP) has become a cornerstone in vision-language representation learning, powering diverse downstream tasks and serving as the default vis…
stat.ML2024★ 1 cited
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang, Vitaly Zankin, Maximilian Balandat +4
We leverage multilevel Monte Carlo (MLMC) to improve the performance of multi-step look-ahead Bayesian optimization (BO) methods that involve nested expectations and maximizations.…