Computing Approximate Graph Edit Distance via Optimal Transport
Given a graph pair (G1, G2), graph edit distance (GED) is defined as the minimum number of
edit operations converting G1 to G2. GED is a fundamental operation widely used in many …
edit operations converting G1 to G2. GED is a fundamental operation widely used in many …
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
We propose to understand Contrastive Language-Image Pretraining model (CLIP) from the
Optimal Transport (OT) perspective. Specifically, we show that training of CLIP is an …
Optimal Transport (OT) perspective. Specifically, we show that training of CLIP is an …
[PDF][PDF] Integrating Machine Learning Techniques for Enhanced Text Classification
M Tan, L Hernandez, M Santos, JD Cruz, P Garcia… - researchgate.net
Text classification is a crucial task in natural language processing that leverages machine
learning techniques to automatically categorize text into predefined labels. With the rise of …
learning techniques to automatically categorize text into predefined labels. With the rise of …