ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.14271
  4. Cited By
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance
  Propagation

Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation

22 April 2024
Paulo Yanez Sarmiento
Simon Witzke
Nadja Klein
Bernhard Y. Renard
    FAtt
    AAML
ArXivPDFHTML

Papers citing "Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation"

13 / 13 papers shown
Title
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural
  Network Explanations and Beyond
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström
Leander Weber
Dilyara Bareeva
Daniel G. Krakowczyk
Franz Motzkus
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
XAI
ELM
40
175
0
14 Feb 2022
Evaluating and Aggregating Feature-based Model Explanations
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt
Adrian Weller
J. M. F. Moura
XAI
77
223
0
01 May 2020
When Explanations Lie: Why Many Modified BP Attributions Fail
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt
Maximilian Granz
Tim Landgraf
BDL
FAtt
XAI
37
132
0
20 Dec 2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom
P. Seegerer
Sebastian Lapuschkin
Alexander Binder
Simon Wiedemann
K. Müller
Wojciech Samek
CVBM
50
206
0
18 Dec 2019
On the Robustness of Interpretability Methods
On the Robustness of Interpretability Methods
David Alvarez-Melis
Tommi Jaakkola
66
526
0
21 Jun 2018
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
163
1,273
0
05 Oct 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
276
2,257
0
24 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
L. Arras
G. Montavon
K. Müller
Wojciech Samek
FAtt
50
354
0
22 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
807
21,760
0
22 May 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
591
10,741
0
19 Feb 2017
Layer-wise Relevance Propagation for Neural Networks with Local
  Renormalization Layers
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
Wojciech Samek
FAtt
66
460
0
04 Apr 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.3K
39,472
0
01 Sep 2014
1