5 citations · 21 across the 22 of their papers we have counts for
4 papers · 1 filter
Enhancing Visual Feature Attribution via Weighted Integrated Gradients
Kien Tran Duc Tuan, Tam Nguyen Trong, Son Nguyen Hoang +2
Integrated Gradients (IG) is a widely used attribution method in explainable AI, particularly in computer vision applications where reliable feature attribution is essential. A key…
Inference in topic models: sparsity and trade-off
Khoat Than, Tu Bao Ho
Topic models are popular for modeling discrete data (e.g., texts, images, videos, links), and provide an efficient way to discover hidden structures/semantics in massive data. One…
Guaranteed inference in topic models
Khoat Than, Tung Doan
One of the core problems in statistical models is the estimation of a posterior distribution. For topic models, the problem of posterior inference for individual texts is particula…
Managing sparsity, time, and quality of inference in topic models
Khoat Than, Tu Bao Ho
Inference is an integral part of probabilistic topic models, but is often non-trivial to derive an efficient algorithm for a specific model. It is even much more challenging when w…