Interpretability-Aware Vision Transformer

14 September 2023

Papers citing "Interpretability-Aware Vision Transformer"

50 / 67 papers shown

Title
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 120 17 0 03 Dec 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques Arne Grobrugge Nidhi Mishra Johannes Jakubik G. Satzger 125 1 0 28 Oct 2024
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models Gabriela Ben-Melech Stan Estelle Aflalo R. Y. Rohekar Anahita Bhiwandiwalla Shao-Yen Tseng Matthew Lyle Olson Yaniv Gurwicz Chenfei Wu Nan Duan Vasudev Lal 100 7 0 03 Apr 2024
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention Saebom Leem Hyunseok Seo ViT 43 14 0 07 Feb 2024
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation Chengyin Li Prashant Khanduri Yao Qiang Rafi Ibn Sultan I. Chetty D. Zhu MedIm 97 13 0 28 Aug 2023
Fairness-aware Vision Transformer via Debiased Self-Attention Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 81 9 0 31 Jan 2023
Negative Flux Aggregation to Estimate Feature Attributions X. Li Deng Pan Chengyin Li Yao Qiang D. Zhu FAtt 30 6 0 17 Jan 2023
Learning Compact Features via In-Training Representation Alignment X. Li Xiangrui Li Deng Pan Yao Qiang D. Zhu OOD 40 3 0 23 Nov 2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention Fenglin Liu Xian Wu Shen Ge Xuancheng Ren Wei Fan Xu Sun Yuexian Zou VLM 95 12 0 28 Oct 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 55 145 0 22 Jun 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 87 86 0 20 May 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 53 38 0 23 Apr 2022
ViTOL: Vision Transformer for Weakly Supervised Object Localization Saurav Gupta Sourav Lakhotia Abhay Rawat Rahul Tallamraju WSOL 61 21 0 14 Apr 2022
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization Zhiwei Chen Changan Wang Yabiao Wang Guannan Jiang Yunhang Shen Ying Tai Chengjie Wang Wei Zhang Liujuan Cao WSOL ViT 62 46 0 10 Dec 2021
BEVT: BERT Pretraining of Video Transformers Rui Wang Dongdong Chen Zuxuan Wu Yinpeng Chen Xiyang Dai Mengchen Liu Yu-Gang Jiang Luowei Zhou Lu Yuan ViT 79 207 0 02 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 71 83 0 29 Nov 2021
Learning Interpretation with Explainable Knowledge Distillation Raed Alharbi Minh Nhat Vu My T. Thai 39 15 0 12 Nov 2021
Video Swin Transformer Ze Liu Jia Ning Yue Cao Yixuan Wei Zheng Zhang Stephen Lin Han Hu ViT 94 1,481 0 24 Jun 2021
IA-RED $^2$ : Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan Yikang Shen Yi Ding Zhangyang Wang Rogerio Feris A. Oliva VLM ViT 82 160 0 23 Jun 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 105 89 0 31 May 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers Xiangxiang Chu Zhi Tian Yuqing Wang Bo Zhang Haibing Ren Xiaolin K. Wei Huaxia Xia Chunhua Shen ViT 79 1,017 0 28 Apr 2021
VidTr: Video Transformer Without Convolutions Yanyi Zhang Xinyu Li Chunhui Liu Bing Shuai Yi Zhu Biagio Brattoli Hao Chen I. Marsic Joseph Tighe ViT 176 196 0 23 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 133 1,006 0 31 Mar 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization Wei Gao Fang Wan Xingjia Pan Zhiliang Peng Qi Tian Zhenjun Han Bolei Zhou QiXiang Ye ViT WSOL 59 202 0 27 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 421 21,347 0 25 Mar 2021
DeepViT: Towards Deeper Vision Transformer Daquan Zhou Bingyi Kang Xiaojie Jin Linjie Yang Xiaochen Lian Zihang Jiang Qibin Hou Jiashi Feng ViT 81 518 0 22 Mar 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 59 59 0 25 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 503 3,709 0 24 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 119 1,935 0 28 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 361 6,757 0 23 Dec 2020
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 126 664 0 17 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 555 40,739 0 22 Oct 2020
A Framework to Learn with Interpretation Jayneel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc AI4CE FAtt 46 30 0 19 Oct 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 363 13,002 0 26 May 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 134 794 0 02 May 2020
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Y. Hao Li Dong Furu Wei Ke Xu ViT 58 223 0 23 Apr 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 60 383 0 20 Feb 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 60 131 0 10 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 63 320 0 05 Feb 2020
Towards Explainable Deep Neural Networks (xDNN) Plamen Angelov Eduardo Soares AAML 61 261 0 05 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 64 415 0 18 Oct 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 101 683 0 09 Jun 2019
Saliency Learning: Teaching the Model Where to Pay Attention Reza Ghaeini Xiaoli Z. Fern Hamed Shahbazi Prasad Tadepalli FAtt XAI 56 30 0 22 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,729 0 11 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,963 0 08 Oct 2018
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 98 681 0 28 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 223 1,182 0 27 Jun 2018
On the Robustness of Interpretability Methods David Alvarez-Melis Tommi Jaakkola 76 526 0 21 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 175 1,169 0 19 Jun 2018