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Transformer Interpretability Beyond Attention Visualization

Transformer Interpretability Beyond Attention Visualization

17 December 2020
Hila Chefer
Shir Gur
Lior Wolf
ArXivPDFHTML

Papers citing "Transformer Interpretability Beyond Attention Visualization"

50 / 134 papers shown
Title
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
Seongun Kim
Sol A Kim
Geonhyeong Kim
Enver Menadjiev
Chanwoo Lee
Seongwook Chung
Nari Kim
Jaesik Choi
28
0
0
15 May 2025
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui
Changkyu Choi
Andrey Barsky
Kangsoo Jung
Ernest Valveny
Dimosthenis Karatzas
28
0
0
12 May 2025
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
Sehyeong Jo
Gangjae Jang
Haesol Park
32
0
0
28 Apr 2025
Decoding Vision Transformers: the Diffusion Steering Lens
Decoding Vision Transformers: the Diffusion Steering Lens
Ryota Takatsuki
Sonia Joseph
Ippei Fujisawa
Ryota Kanai
DiffM
30
0
0
18 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Eric Granger
41
0
0
16 Apr 2025
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Hengyu Lin
AI4CE
28
0
0
04 Apr 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Sudong Wang
Yuyao Zhang
Yao Zhu
Jianing Li
Zizhe Wang
Yi Liu
Xiangyang Ji
146
0
0
31 Mar 2025
Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
Minjae Chung
Jong Bum Won
Ganghyun Kim
Yujin Kim
Utku Ozbulak
MedIm
62
0
0
12 Mar 2025
Discovering Influential Neuron Path in Vision Transformers
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang
Yifei Liu
Yingdong Shi
Chong Li
Anqi Pang
Sibei Yang
Jingyi Yu
Kan Ren
ViT
69
0
0
12 Mar 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Mersha
Mesay Gemeda Yigezu
Hassan Shakil
Ali Al shami
SangHyun Byun
Jugal Kalita
62
0
0
06 Mar 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Anh Tong
Thanh Nguyen-Tang
Dongeun Lee
Duc Nguyen
Toan M. Tran
David Hall
Cheongwoong Kang
Jaesik Choi
35
0
0
03 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Itay Benou
Tammy Riklin-Raviv
67
0
0
27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
49
0
0
24 Feb 2025
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
Luca Barsellotti
Roberto Bigazzi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
98
1
0
20 Feb 2025
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Flavio Giorgi
Cesare Campagnano
Fabrizio Silvestri
Gabriele Tolomei
LRM
41
1
0
28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MA
AILaw
93
154
0
28 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Jialin Wu
Kaikai Pan
Yanjiao Chen
Jiangyi Deng
Shengyuan Pang
Wenyuan Xu
ViT
AAML
43
0
0
13 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAI
ELM
42
2
0
03 Jan 2025
Explaining the Impact of Training on Vision Models via Activation Clustering
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
91
0
0
29 Nov 2024
Explanation Bottleneck Models
Explanation Bottleneck Models
Shinýa Yamaguchi
Kosuke Nishida
LRM
BDL
51
1
0
26 Sep 2024
Genetic Information Analysis of Age-Related Macular Degeneration Fellow
  Eye Using Multi-Modal Selective ViT
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
Yoichi Furukawa
Satoshi Kamiya
Yoichi Sakurada
Kenji Kashiwagi
Kazuhiro Hotta
29
0
0
17 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement
InfoDisent: Explainability of Image Classification Models by Information Disentanglement
Łukasz Struski
Dawid Rymarczyk
Jacek Tabor
59
1
0
16 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
69
28
0
30 Aug 2024
Can Transformers Do Enumerative Geometry?
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
44
2
0
27 Aug 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Sepehr Kamahi
Yadollah Yaghoobzadeh
53
0
0
21 Aug 2024
Human-inspired Explanations for Vision Transformers and Convolutional
  Neural Networks
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks
Mahadev Prasad Panda
Matteo Tiezzi
Martina Vilas
Gemma Roig
Bjoern M. Eskofier
Dario Zanca
ViT
AAML
39
1
0
04 Aug 2024
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large
  Language Models
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
Ming-Kuan Wu
Xinyue Cai
Jiayi Ji
Jiale Li
Oucheng Huang
Gen Luo
Hao Fei
Xiaoshuai Sun
Rongrong Ji
MLLM
51
7
0
31 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations
On the Evaluation Consistency of Attribution-based Explanations
Jiarui Duan
Haoling Li
Haofei Zhang
Hao Jiang
Mengqi Xue
Li Sun
Mingli Song
Mingli Song
XAI
46
0
0
28 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
40
10
0
27 Jul 2024
Explanation Regularisation through the Lens of Attributions
Explanation Regularisation through the Lens of Attributions
Pedro Ferreira
Wilker Aziz
Ivan Titov
46
1
0
23 Jul 2024
Evaluating the Reliability of Self-Explanations in Large Language Models
Evaluating the Reliability of Self-Explanations in Large Language Models
Korbinian Randl
John Pavlopoulos
Aron Henriksson
Tony Lindgren
LRM
44
0
0
19 Jul 2024
Benchmarking the Attribution Quality of Vision Models
Benchmarking the Attribution Quality of Vision Models
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
FAtt
34
3
0
16 Jul 2024
SRViT: Vision Transformers for Estimating Radar Reflectivity from
  Satellite Observations at Scale
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale
Jason Stock
Kyle Hilburn
Imme Ebert-Uphoff
Charles Anderson
40
1
0
20 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation
  Methods in Vision Transformers
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers
Lokesh Badisa
Sumohana S. Channappayya
45
0
0
17 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
62
9
0
11 Jun 2024
Interpreting the Second-Order Effects of Neurons in CLIP
Interpreting the Second-Order Effects of Neurons in CLIP
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
MILM
62
16
0
06 Jun 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
38
2
0
17 May 2024
Explaining Text Similarity in Transformer Models
Explaining Text Similarity in Transformer Models
Alexandros Vasileiou
Oliver Eberle
43
7
0
10 May 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival,
  and Recurrent Events with Concurrent Latent Structure
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
Zhiyue Zhang
Yao Zhao
Yan Xu
19
0
0
04 Apr 2024
Exploring the Trade-off Between Model Performance and Explanation
  Plausibility of Text Classifiers Using Human Rationales
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck
Marcos M. Raimundo
Jorge Poco
50
1
0
03 Apr 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
39
1
0
15 Mar 2024
The Garden of Forking Paths: Observing Dynamic Parameters Distribution
  in Large Language Models
The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models
Carlo Nicolini
Jacopo Staiano
Bruno Lepri
Raffaele Marino
MoE
34
1
0
13 Mar 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
25
0
0
14 Feb 2024
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Gianluigi Lopardo
F. Precioso
Damien Garreau
16
4
0
05 Feb 2024
B-Cos Aligned Transformers Learn Human-Interpretable Features
B-Cos Aligned Transformers Learn Human-Interpretable Features
Manuel Tran
Amal Lahiani
Yashin Dicente Cid
Melanie Boxberg
Peter Lienemann
C. Matek
S. J. Wagner
Fabian J. Theis
Eldad Klaiman
Tingying Peng
MedIm
ViT
21
2
0
16 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
3VL: Using Trees to Improve Vision-Language Models' Interpretability
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGe
VLM
49
4
0
28 Dec 2023
Explainable Multi-Camera 3D Object Detection with Transformer-Based
  Saliency Maps
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps
Till Beemelmanns
Wassim Zahr
Lutz Eckstein
32
0
0
22 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
56
1
0
12 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
29
4
0
11 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers
Improving Interpretation Faithfulness for Vision Transformers
Lijie Hu
Yixin Liu
Ninghao Liu
Mengdi Huai
Lichao Sun
Di Wang
41
5
0
29 Nov 2023
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