Transformer Interpretability Beyond Attention Visualization

17 December 2020

Papers citing "Transformer Interpretability Beyond Attention Visualization"

50 / 98 papers shown

Title
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 Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 30 0 0 18 Apr 2025
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models Hengyu Lin AI4CE 26 0 0 04 Apr 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models Sudong Wang Y. Zhang Yao Zhu Jianing Li Zizhe Wang Y. Liu Xiangyang Ji 99 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 57 0 0 12 Mar 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi C. 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 Melkamu Mersha Mesay Gemeda Yigezu Hassan Shakil Ali Al shami SangHyun Byun Jugal Kalita 54 0 0 06 Mar 2025
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 33 0 0 03 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 62 0 0 27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 44 0 0 24 Feb 2025
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments Luca Barsellotti Roberto Bigazzi Marcella Cornia Lorenzo Baraldi Rita Cucchiara 87 1 0 20 Feb 2025
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 Erik Cambria LM&MA AILaw 93 153 0 28 Jan 2025
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
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 41 0 0 13 Jan 2025
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 34 2 0 03 Jan 2025
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 89 0 0 29 Nov 2024
Explanation Bottleneck Models Shinýa Yamaguchi Kosuke Nishida LRM BDL 49 1 0 26 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 51 0 0 16 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 64 28 0 30 Aug 2024
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 32 2 0 27 Aug 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 32 0 0 21 Aug 2024
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 29 1 0 04 Aug 2024
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 40 7 0 31 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 33 1 0 23 Jul 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 40 0 0 19 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 29 3 0 16 Jul 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 40 0 0 17 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 54 9 0 11 Jun 2024
Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsman Alexei A. Efros Jacob Steinhardt MILM 48 16 0 06 Jun 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 36 2 0 17 May 2024
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 Zhiyue Zhang Yao Zhao Yan Xu 19 0 0 04 Apr 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 31 1 0 15 Mar 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 20 0 0 14 Feb 2024
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 13 2 0 16 Jan 2024
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 Till Beemelmanns Wassim Zahr Lutz Eckstein 22 0 0 22 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 43 1 0 12 Dec 2023
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 27 4 0 11 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 21 5 0 29 Nov 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 24 4 0 25 Nov 2023
Inspecting Explainability of Transformer Models with Additional Statistical Information Hoang C. Nguyen Haeil Lee Junmo Kim ViT 13 3 0 19 Nov 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 80 7 0 14 Sep 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 17 11 0 06 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 32 32 0 11 Aug 2023
Is attention all you need in medical image analysis? A review G. Papanastasiou Nikolaos Dikaios Jiahao Huang Chengjia Wang Guang Yang ViT MedIm 16 22 0 24 Jul 2023
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning Ouyang Yang Yuchen Wu He Wang Chenyang Zhang Furui Cheng Chang Jiang Lixia Jin Yuanwu Cao Qu Li 14 6 0 23 Jul 2023
MSW-Transformer: Multi-Scale Shifted Windows Transformer Networks for 12-Lead ECG Classification Ren-Wei Cheng Zhemin Zhuang Shuxin Zhuang Linfu Xie Jingfeng Guo MedIm 15 6 0 21 Jun 2023
Turning large language models into cognitive models Marcel Binz Eric Schulz 28 52 0 06 Jun 2023