3 papers
cs.CV2026
The Surprising Effectiveness of Canonical Knowledge Distillation for Semantic Segmentation
Muhammad Ali, Kevin Alexander Laube, Madan Ravi Ganesh +3
Recent knowledge distillation (KD) methods for semantic segmentation introduce increasingly complex hand-crafted objectives, yet are typically evaluated under fixed iteration sched…
cs.LG2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
Divyansh Jhunjhunwala, Arian Raje, Madan Ravi Ganesh +6
LoRA has emerged as one of the most promising fine-tuning techniques, especially for federated learning (FL), since it significantly reduces communication and computation costs at…
cs.CV2024
HyperCLIP: Adapting Vision-Language models with Hypernetworks
Victor Akinwande, Mohammad Sadegh Norouzzadeh, Devin Willmott +3
Self-supervised vision-language models trained with contrastive objectives form the basis of current state-of-the-art methods in AI vision tasks. The success of these models is a d…