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Extending Logic Explained Networks to Text Classification

Extending Logic Explained Networks to Text Classification

4 November 2022
Rishabh Jain
Gabriele Ciravegna
Pietro Barbiero
Francesco Giannini
Davide Buffelli
Pietro Lio
    FAtt
    XAI
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Papers citing "Extending Logic Explained Networks to Text Classification"

13 / 13 papers shown
Title
Discovering Latent Concepts Learned in BERT
Discovering Latent Concepts Learned in BERT
Fahim Dalvi
A. Khan
Firoj Alam
Nadir Durrani
Jia Xu
Hassan Sajjad
SSL
41
60
0
15 May 2022
Logic Explained Networks
Logic Explained Networks
Gabriele Ciravegna
Pietro Barbiero
Francesco Giannini
Marco Gori
Pietro Lio
Marco Maggini
S. Melacci
70
69
0
11 Aug 2021
Entropy-based Logic Explanations of Neural Networks
Entropy-based Logic Explanations of Neural Networks
Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
Pietro Lio
Marco Gori
S. Melacci
FAtt
XAI
64
79
0
12 Jun 2021
Evaluating explainable artificial intelligence methods for multi-label
  deep learning classification tasks in remote sensing
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou
Konstantinos Karantzalos
XAI
38
118
0
03 Apr 2021
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani
Enrico Bagli
F. Chesani
FAtt
46
60
0
10 Jun 2020
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee
Nal Kalchbrenner
Min Zhang
Narjes Nikzad
M. Asgari-Chenaghlu
Jianfeng Gao
AILaw
VLM
AI4TS
97
1,101
0
06 Apr 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
116
6,254
0
22 Oct 2019
On the (In)fidelity and Sensitivity for Explanations
On the (In)fidelity and Sensitivity for Explanations
Chih-Kuan Yeh
Cheng-Yu Hsieh
A. Suggala
David I. Inouye
Pradeep Ravikumar
FAtt
58
453
0
27 Jan 2019
Local Rule-Based Explanations of Black Box Decision Systems
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
125
437
0
28 May 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,864
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
FAtt
FaML
1.2K
16,954
0
16 Feb 2016
Evaluating the visualization of what a Deep Neural Network has learned
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
XAI
134
1,192
0
21 Sep 2015
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