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ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArX

5 March 2025
Ungsik Kim
ArXiv (abs)PDFHTML

Papers citing "ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArX"

12 / 12 papers shown
Title
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical
  Report]
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]
Hamed Ayoobi
Nico Potyka
Francesca Toni
42
19
0
23 Jan 2023
Argumentative XAI: A Survey
Argumentative XAI: A Survey
Kristijonas vCyras
Antonio Rago
Emanuele Albini
P. Baroni
Francesca Toni
66
144
0
24 May 2021
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal
Levi Melnick
Nicholas Frosst
Xuezhou Zhang
Ben Lengerich
R. Caruana
Geoffrey E. Hinton
99
420
0
29 Apr 2020
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik
Tomas Pfister
LMTD
206
1,365
0
20 Aug 2019
Towards Robust Interpretability with Self-Explaining Neural Networks
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILMXAI
130
948
0
20 Jun 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
150
3,989
0
06 Feb 2018
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
210
2,531
0
19 Jul 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
355
18,661
0
06 Feb 2015
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