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. 2103.10689
  4. Cited By
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

19 March 2021
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
    AAML
    FaML
    XAI
    HAI
ArXivPDFHTML

Papers citing "Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond"

28 / 28 papers shown
Title
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
Irina Ruzavina
Lisa Sophie Theis
Jesse Lemeer
Rutger de Groen
Leo Ebeling
Andrej Hulak
Jouaria Ali
Guangzhi Tang
Rico Mockel
29
0
0
29 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework
Rethinking industrial artificial intelligence: a unified foundation framework
Jay Lee
Hanqi Su
AI4CE
41
1
0
02 Apr 2025
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals
Chuheng Wu
S. F. Atashzar
Mohammad Mahdi Ghassemi
Tuka Alhanai
39
0
0
03 Jan 2025
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for
  Detecting Muscles Disorder
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder
Sina Saadati
Mohammadreza Razzazi
21
0
0
30 Aug 2024
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Mengnan Du
Shuaiqiang Wang
Dawei Yin
Sumi Helal
53
28
0
28 Jun 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the
  Current Paradigm of Using XAI in Healthcare
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
Elisa Rubegni
Omran Ayoub
Stefania Maria Rita Rizzo
Marco Barbero
G. Bernegger
Francesca Faraci
Francesca Mangili
Emiliano Soldini
P. Trimboli
Alessandro Facchini
29
1
0
06 Apr 2024
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
23
0
0
26 Dec 2023
On Mask-based Image Set Desensitization with Recognition Support
On Mask-based Image Set Desensitization with Recognition Support
Qilong Li
Ji Liu
Yifan Sun
Chongsheng Zhang
Dejing Dou
CVBM
28
3
0
14 Dec 2023
Efficient Representation of the Activation Space in Deep Neural Networks
Efficient Representation of the Activation Space in Deep Neural Networks
Tanya Akumu
C. Cintas
G. Tadesse
Adebayo Oshingbesan
Skyler Speakman
E. McFowland
AAML
26
0
0
13 Dec 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Luca Arrotta
Gabriele Civitarese
Claudio Bettini
16
0
0
08 Jun 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel
  Estimation in 5G Networks
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak
Marc Brittain
Murat Kuzlu
Christine Serres
UQCV
15
1
0
04 May 2023
Distributed and Deep Vertical Federated Learning with Big Data
Distributed and Deep Vertical Federated Learning with Big Data
Ji Liu
Xuehai Zhou
L. Mo
Shilei Ji
Yuan Liao
Z. Li
Qinhua Gu
Dejing Dou
FedML
24
16
0
08 Mar 2023
Opti-CAM: Optimizing saliency maps for interpretability
Opti-CAM: Optimizing saliency maps for interpretability
Hanwei Zhang
Felipe Torres
R. Sicre
Yannis Avrithis
Stéphane Ayache
28
22
0
17 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with
  Object-Level Abstraction and Differentiable Expression Search
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search
Wenqing Zheng
S. Sharan
Zhiwen Fan
Kevin Wang
Yihan Xi
Zhangyang Wang
58
9
0
30 Dec 2022
An Interpretable Hybrid Predictive Model of COVID-19 Cases using
  Autoregressive Model and LSTM
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM
Yangyi Zhang
Sui Tang
Guo-Ding Yu
14
11
0
14 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of
  Explanations
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
29
18
0
10 Nov 2022
Higher-order mutual information reveals synergistic sub-networks for
  multi-neuron importance
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
Kenzo Clauw
S. Stramaglia
Daniele Marinazzo
SSL
FAtt
30
6
0
01 Nov 2022
I-SPLIT: Deep Network Interpretability for Split Computing
I-SPLIT: Deep Network Interpretability for Split Computing
Federico Cunico
Luigi Capogrosso
Francesco Setti
D. Carra
Franco Fummi
Marco Cristani
27
14
0
23 Sep 2022
Learnable Visual Words for Interpretable Image Recognition
Learnable Visual Words for Interpretable Image Recognition
Wenxi Xiao
Zhengming Ding
Hongfu Liu
VLM
12
2
0
22 May 2022
A Fast Attention Network for Joint Intent Detection and Slot Filling on
  Edge Devices
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
Liang Huang
Senjie Liang
Feiyang Ye
Nan Gao
50
4
0
16 May 2022
Automation Slicing and Testing for in-App Deep Learning Models
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu
Yuhang Gong
Xiaopeng Ke
Hanzhong Liang
Minghao Li
Fengyuan Xu
Yunxin Liu
Sheng Zhong
41
1
0
15 May 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Wenqing Zheng
Tianlong Chen
Ting-Kuei Hu
Zhangyang Wang
39
18
0
13 Mar 2022
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
222
676
0
19 Oct 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
232
740
0
28 Mar 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 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
283
10,613
0
19 Feb 2017
1