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. 1702.08608
  4. Cited By
Towards A Rigorous Science of Interpretable Machine Learning

Towards A Rigorous Science of Interpretable Machine Learning

28 February 2017
Finale Doshi-Velez
Been Kim
    XAI
    FaML
ArXivPDFHTML

Papers citing "Towards A Rigorous Science of Interpretable Machine Learning"

50 / 404 papers shown
Title
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
Thiago Freitas dos Santos
Nardine Osman
Marco Schorlemmer
21
0
0
01 Mar 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
Sicong Cao
Xiaobing Sun
Ratnadira Widyasari
David Lo
Xiaoxue Wu
...
Jiale Zhang
Bin Li
Wei Liu
Di Wu
Yixin Chen
28
6
0
26 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing
  Ratio Decomposition
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Sangyu Han
Yearim Kim
Nojun Kwak
AAML
21
1
0
25 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
25
17
0
24 Jan 2024
Pyreal: A Framework for Interpretable ML Explanations
Pyreal: A Framework for Interpretable ML Explanations
Alexandra Zytek
Wei-En Wang
Dongyu Liu
Laure Berti-Equille
K. Veeramachaneni
LRM
37
0
0
20 Dec 2023
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
46
7
0
20 Dec 2023
I-CEE: Tailoring Explanations of Image Classification Models to User
  Expertise
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
34
0
0
19 Dec 2023
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer
  Learning Method
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Wahidul Hasan Abir
Md Fahim Uddin
Faria Rahman Khanam
Mohammad Monirujjaman Khan
17
49
0
01 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
18
1
0
30 Nov 2023
On the Relationship Between Interpretability and Explainability in
  Machine Learning
On the Relationship Between Interpretability and Explainability in Machine Learning
Benjamin Leblanc
Pascal Germain
FaML
26
0
0
20 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control
Interpretable Reinforcement Learning for Robotics and Continuous Control
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
...
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
26
7
0
16 Nov 2023
Learning Interpretable Rules for Scalable Data Representation and
  Classification
Learning Interpretable Rules for Scalable Data Representation and Classification
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
28
6
0
22 Oct 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
24
5
0
20 Oct 2023
Conformal Contextual Robust Optimization
Conformal Contextual Robust Optimization
Yash P. Patel
Sahana Rayan
Ambuj Tewari
34
15
0
16 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey
Explaining Deep Face Algorithms through Visualization: A Survey
Thrupthi Ann
S. M. I. C. V. Balasubramanian
M. Jawahar
CVBM
32
1
0
26 Sep 2023
Interpretability is not Explainability: New Quantitative XAI Approach
  with a focus on Recommender Systems in Education
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education
Riccardo Porcedda
XAI
28
0
0
18 Sep 2023
Beyond XAI:Obstacles Towards Responsible AI
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
32
2
0
07 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems
RecRec: Algorithmic Recourse for Recommender Systems
Sahil Verma
Ashudeep Singh
Varich Boonsanong
John P. Dickerson
Chirag Shah
25
1
0
28 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
34
6
0
31 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial
  Intelligence (XAI)
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
24
12
0
26 Jul 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural
  Language Explanations
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen
Ruiqi Zhong
Narutatsu Ri
Chen Zhao
He He
Jacob Steinhardt
Zhou Yu
Kathleen McKeown
LRM
26
47
0
17 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive
  Systems
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems
Andreas Metzger
Jan Laufer
Felix Feit
Klaus Pohl
OffRL
OnRL
13
1
0
09 Jul 2023
Explainable Predictive Maintenance
Explainable Predictive Maintenance
Sepideh Pashami
Sławomir Nowaczyk
Yuantao Fan
Jakub Jakubowski
Nuno Paiva
...
Bruno Veloso
M. Sayed-Mouchaweh
L. Rajaoarisoa
Grzegorz J. Nalepa
João Gama
32
8
0
08 Jun 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
Q. V. Liao
Ziang Xiao
ALM
ELM
43
29
0
01 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
35
2
0
31 May 2023
Flexible and Inherently Comprehensible Knowledge Representation for
  Data-Efficient Learning and Trustworthy Human-Machine Teaming in
  Manufacturing Environments
Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments
Vedran Galetić
Alistair Nottle
27
1
0
19 May 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Julien Rouzot
Julien Ferry
Marie-José Huguet
FaML
19
8
0
11 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
18
56
0
10 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Emilio Ferrara
SILM
21
247
0
07 Apr 2023
Machine Learning with Requirements: a Manifesto
Machine Learning with Requirements: a Manifesto
Eleonora Giunchiglia
F. Imrie
M. Schaar
Thomas Lukasiewicz
AI4TS
OffRL
VLM
32
5
0
07 Apr 2023
Evaluating self-attention interpretability through human-grounded
  experimental protocol
Evaluating self-attention interpretability through human-grounded experimental protocol
Milan Bhan
Nina Achache
Victor Legrand
A. Blangero
N. Chesneau
21
9
0
27 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case,
  Algorithm and User Study for Group-Counterfactuals
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
26
13
0
16 Mar 2023
Models of symbol emergence in communication: a conceptual review and a
  guide for avoiding local minima
Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima
Julian Zubek
Tomasz Korbak
J. Rączaszek-Leonardi
28
2
0
08 Mar 2023
Learning Human-Compatible Representations for Case-Based Decision
  Support
Learning Human-Compatible Representations for Case-Based Decision Support
Han Liu
Yizhou Tian
Chacha Chen
Shi Feng
Yuxin Chen
Chenhao Tan
25
5
0
06 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
23
1
0
06 Mar 2023
MLTEing Models: Negotiating, Evaluating, and Documenting Model and
  System Qualities
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities
Katherine R. Maffey
Kyle Dotterrer
Jennifer Niemann
Iain J. Cruickshank
Grace A. Lewis
Christian Kastner
22
4
0
03 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation
  Choices, Insights, and Questions
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
Manish Nagireddy
Moninder Singh
Samuel C. Hoffman
Evaline Ju
K. Ramamurthy
Kush R. Varshney
22
1
0
17 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs
Less is More: The Influence of Pruning on the Explainability of CNNs
David Weber
F. Merkle
Pascal Schöttle
Stephan Schlögl
Martin Nocker
FAtt
29
1
0
17 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human
  Understanding with Luhmann's Functional Theory of Communication
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
11
7
0
07 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
40
3
0
07 Feb 2023
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens
Chen Chen
Bowen Zhang
Liangliang Cao
Jiguang Shen
Tom Gunter
Albin Madappally Jose
Alexander Toshev
Jonathon Shlens
Ruoming Pang
Yinfei Yang
VLM
3DV
25
13
0
30 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
36
103
0
18 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI
  Methodologies
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
Pradyumna Tambwekar
Matthew C. Gombolay
28
8
0
13 Jan 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
24
14
0
06 Jan 2023
On the Forces of Driver Distraction: Explainable Predictions for the
  Visual Demand of In-Vehicle Touchscreen Interactions
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions
Patrick Ebel
Christoph Lingenfelder
Andreas Vogelsang
FAtt
AAML
26
20
0
05 Jan 2023
DExT: Detector Explanation Toolkit
DExT: Detector Explanation Toolkit
Deepan Padmanabhan
Paul G. Plöger
Octavio Arriaga
Matias Valdenegro-Toro
28
2
0
21 Dec 2022
Interpretable ML for Imbalanced Data
Interpretable ML for Imbalanced Data
Damien Dablain
C. Bellinger
Bartosz Krawczyk
D. Aha
Nitesh V. Chawla
22
1
0
15 Dec 2022
Tensions Between the Proxies of Human Values in AI
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
28
2
0
14 Dec 2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online
  Customer Behavior: An Empirical Study
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
Saed Alizami
Kasun Bandara
A. Eshragh
Foaad Iravani
13
1
0
01 Dec 2022
Interpretability with full complexity by constraining feature
  information
Interpretability with full complexity by constraining feature information
Kieran A. Murphy
Danielle Bassett
FAtt
27
5
0
30 Nov 2022
Previous
123456789
Next