Exploring the Lottery Ticket Hypothesis with Explainability Methods:
Insights into Sparse Network Performance

Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance

7 July 2023

Kayhan Batmanghelich

Papers citing "Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance"

6 / 6 papers shown

Title
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 51 46 0 22 Sep 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 79 52 0 19 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 98 64 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 133 185 0 31 May 2022
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 159 64 0 05 May 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017