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Nikolaos Freris

2 accepted papers

2024

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance

ICLR 2024poster

The Vision Transformer (ViT) has emerged as a powerful architecture for various computer vision tasks. Nonetheless, this comes with substantially heavier computational costs than Convolutional Neural Networks (CNNs). The attention mechanism in ViTs, which integrates information from different image…

Cited by 5SourcePDFScholar
2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms

ICML 2021spotlight

A wide range of optimization problems arising in machine learning can be solved by gradient descent algorithms, and a central question in this area is how to efficiently compress a large-scale dataset so as to reduce the computational complexity. Coreset is a popular data compression technique that…

Cited by 24SourcePDFScholar