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. 1703.01365
  4. Cited By
Axiomatic Attribution for Deep Networks
v1v2 (latest)

Axiomatic Attribution for Deep Networks

4 March 2017
Mukund Sundararajan
Ankur Taly
Qiqi Yan
    OODFAtt
ArXiv (abs)PDFHTML

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown
Title
An Open API Architecture to Discover the Trustworthy Explanation of
  Cloud AI Services
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services
Zerui Wang
Yan Liu
Jun Huang
90
2
0
05 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for
  Radar-based Human Activity Recognition
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition
Idris Zakariyya
Linda Tran
Kaushik Bhargav Sivangi
Paul Henderson
Fani Deligianni
67
0
0
04 Nov 2024
Shortcut Learning in In-Context Learning: A Survey
Shortcut Learning in In-Context Learning: A Survey
Rui Song
Yingji Li
Fausto Giunchiglia
Fausto Giunchiglia
Hao Xu
126
3
0
04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro
David Martens
158
0
0
04 Nov 2024
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive
  Ablation Study for Ensemble Classifiers
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
Gjergji Kasneci
Enkelejda Kasneci
LMTD
116
2
0
03 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci
Marco Gaido
Beatrice Savoldi
Matteo Negri
Mauro Cettolo
L. Bentivogli
274
3
0
03 Nov 2024
Learning local discrete features in explainable-by-design convolutional
  neural networks
Learning local discrete features in explainable-by-design convolutional neural networks
Pantelis I. Kaplanoglou
Konstantinos Diamantaras
FAtt
102
1
0
31 Oct 2024
Identifying Spatio-Temporal Drivers of Extreme Events
Identifying Spatio-Temporal Drivers of Extreme Events
Mohamad Hakam Shams Eddin
Juergen Gall
AI4TS
108
0
0
31 Oct 2024
Transformers to Predict the Applicability of Symbolic Integration
  Routines
Transformers to Predict the Applicability of Symbolic Integration Routines
Rashid Barket
Uzma Shafiq
Matthew England
Juergen Gerhard
46
0
0
31 Oct 2024
Guided Game Level Repair via Explainable AI
Guided Game Level Repair via Explainable AI
Mahsa Bazzaz
Seth Cooper
121
2
0
30 Oct 2024
DISCERN: Decoding Systematic Errors in Natural Language for Text
  Classifiers
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
Rakesh R Menon
Shashank Srivastava
46
2
0
29 Oct 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
Shaobo Wang
Hongxuan Tang
Mingyang Wang
Hao Zhang
Xuyang Liu
Weiya Li
Xuming Hu
Linfeng Zhang
53
1
0
29 Oct 2024
Efficient Training of Sparse Autoencoders for Large Language Models via
  Layer Groups
Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups
Davide Ghilardi
Federico Belotti
Marco Molinari
82
6
0
28 Oct 2024
On the Black-box Explainability of Object Detection Models for Safe and
  Trustworthy Industrial Applications
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
Alain Andres
Aitor Martinez-Seras
I. Laña
Javier Del Ser
AAML
68
2
0
28 Oct 2024
Interpretable Image Classification with Adaptive Prototype-based Vision
  Transformers
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
Chiyu Ma
J. Donnelly
Wenjun Liu
Soroush Vosoughi
Cynthia Rudin
Chaofan Chen
ViT
76
8
0
28 Oct 2024
Causal Abstraction in Model Interpretability: A Compact Survey
Causal Abstraction in Model Interpretability: A Compact Survey
Yihao Zhang
77
0
0
26 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance
Evaluating the Influences of Explanation Style on Human-AI Reliance
Emma Casolin
Flora D. Salim
Ben Newell
85
1
0
26 Oct 2024
Peter Parker or Spiderman? Disambiguating Multiple Class Labels
Peter Parker or Spiderman? Disambiguating Multiple Class Labels
Nuthan Mummani
Simran Ketha
Venkatakrishnan Ramaswamy
51
0
0
25 Oct 2024
Highly efficient non-rigid registration in k-space with application to
  cardiac Magnetic Resonance Imaging
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
Aya Ghoul
Kerstin Hammernik
Andreas Lingg
Patrick Krumm
Daniel Rueckert
S. Gatidis
Thomas Kustner
MedIm
38
0
0
24 Oct 2024
Explainable News Summarization -- Analysis and mitigation of
  Disagreement Problem
Explainable News Summarization -- Analysis and mitigation of Disagreement Problem
Seema Aswani
Sujala D. Shetty
60
0
0
24 Oct 2024
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks
Samuele Poppi
Zheng-Xin Yong
Yifei He
Bobbie Chern
Han Zhao
Aobo Yang
Jianfeng Chi
AAML
163
21
0
23 Oct 2024
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
Chen Qian
Dongrui Liu
Jie Zhang
Yong Liu
Jing Shao
86
1
0
22 Oct 2024
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images
Elham Bagheri
Yalda Mohsenzadeh
151
0
0
19 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image
  Consistency"
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"
Luan Fletcher
Robert van der Klis
Martin Sedláček
Stefan Vasilev
Christos Athanasiadis
82
1
0
17 Oct 2024
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Dibyanayan Bandyopadhyay
Mohammed Hasanuzzaman
Asif Ekbal
AAML
55
1
0
17 Oct 2024
PromptExp: Multi-granularity Prompt Explanation of Large Language Models
PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Ximing Dong
Shaowei Wang
Dayi Lin
Gopi Krishnan Rajbahadur
Boquan Zhou
Shichao Liu
Ahmed E. Hassan
AAMLLRM
84
1
0
16 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect
  Detection
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
Nazanin Fouladgar
Marjan Alirezaie
Kary Främling
AI4TSFAtt
41
0
0
16 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint
Rethinking Visual Counterfactual Explanations Through Region Constraint
Bartlomiej Sobieski
Jakub Grzywaczewski
Bartlomiej Sadlej
Matthew Tivnan
P. Biecek
CML
79
1
0
16 Oct 2024
Revealing the Barriers of Language Agents in Planning
Revealing the Barriers of Language Agents in Planning
Jian Xie
Kexun Zhang
Jiangjie Chen
Siyu Yuan
Kai Zhang
Yikai Zhang
Lei Li
Yanghua Xiao
LM&RoAIFinLRM
124
12
0
16 Oct 2024
SoK: Prompt Hacking of Large Language Models
SoK: Prompt Hacking of Large Language Models
Baha Rababah
Shang
Wu
Matthew Kwiatkowski
Carson Leung
Cuneyt Gurcan Akcora
AAML
60
3
0
16 Oct 2024
Explainable AI Methods for Multi-Omics Analysis: A Survey
Explainable AI Methods for Multi-Omics Analysis: A Survey
Ahmad Hussein
Mukesh Prasad
Ali Braytee
SyDa
30
1
0
15 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
135
5
0
15 Oct 2024
DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
Eduardo Hirata-Miyasaki
Soorya Pradeep
Ziwen Liu
Alishba Imran
Taylla Milena Theodoro
...
Michelle Grunberg
Hunter Woosley
Madhura Bhave
Carolina Arias
Shalin B. Mehta
97
0
0
15 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence
Study on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta
Elizaveta Kulicheva
Ronja Froelian
Christian Geißler
Xenia Melman
Julian von Klitzing
ELM
58
1
0
14 Oct 2024
Will LLMs Replace the Encoder-Only Models in Temporal Relation
  Classification?
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
Gabriel Roccabruna
Massimo Rizzoli
Giuseppe Riccardi
83
1
0
14 Oct 2024
XAI-based Feature Selection for Improved Network Intrusion Detection
  Systems
XAI-based Feature Selection for Improved Network Intrusion Detection Systems
Osvaldo Arreche
Tanish Guntur
Mustafa Abdallah
AAML
54
0
0
14 Oct 2024
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
Jacob Haimes
Cenny Wenner
Kunvar Thaman
Vassil Tashev
Clement Neo
Esben Kran
Jason Schreiber
66
6
0
11 Oct 2024
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop
  Chain-of-Thought
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
G. Kumari
Kirtan Jain
Asif Ekbal
110
4
0
11 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
72
2
0
10 Oct 2024
Rethinking the Principle of Gradient Smooth Methods in Model Explanation
Rethinking the Principle of Gradient Smooth Methods in Model Explanation
Linjiang Zhou
Chao Ma
Zepeng Wang
Xiaochuan Shi
FAtt
64
0
0
10 Oct 2024
Audio Explanation Synthesis with Generative Foundation Models
Audio Explanation Synthesis with Generative Foundation Models
Alican Akman
Qiyang Sun
Björn W. Schuller
75
1
0
10 Oct 2024
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Yurong Liu
R. Teal Witter
Flip Korn
Tarfah Alrashed
Dimitris Paparas
Christopher Musco
Juliana Freire
FAtt
130
0
0
10 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
268
0
0
10 Oct 2024
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders
Constantin Venhoff
Anisoara Calinescu
Philip Torr
Christian Schroeder de Witt
74
0
0
09 Oct 2024
Mitigating the Language Mismatch and Repetition Issues in LLM-based
  Machine Translation via Model Editing
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
Weichuan Wang
Zhaoyi Li
Defu Lian
Chen Ma
Linqi Song
Ying Wei
103
8
0
09 Oct 2024
Faithful Interpretation for Graph Neural Networks
Faithful Interpretation for Graph Neural Networks
Lijie Hu
Tianhao Huang
Lu Yu
Wanyu Lin
Tianhang Zheng
Di Wang
76
3
0
09 Oct 2024
Towards Interpreting Visual Information Processing in Vision-Language Models
Towards Interpreting Visual Information Processing in Vision-Language Models
Clement Neo
Luke Ong
Philip Torr
Mor Geva
David M. Krueger
Fazl Barez
137
15
0
09 Oct 2024
A mechanistically interpretable neural network for regulatory genomics
A mechanistically interpretable neural network for regulatory genomics
Alex Tseng
Gökçen Eraslan
Tommaso Biancalani
Gabriele Scalia
39
1
0
08 Oct 2024
Jet Expansions of Residual Computation
Jet Expansions of Residual Computation
Yihong Chen
Xiangxiang Xu
Yao Lu
Pontus Stenetorp
Luca Franceschi
98
3
0
08 Oct 2024
Explanation sensitivity to the randomness of large language models: the
  case of journalistic text classification
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification
Jérémie Bogaert
Marie-Catherine de Marneffe
Antonin Descampe
Louis Escouflaire
Cedrick Fairon
François-Xavier Standaert
100
1
0
07 Oct 2024
Previous
123...567...565758
Next