Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

Papers citing "Network Dissection: Quantifying Interpretability of Deep Visual Representations"

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Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 88 42 0 27 Jan 2023
Explaining Deep Learning Hidden Neuron Activations using Concept Induction Abhilekha Dalal Md Kamruzzaman Sarker Adrita Barua Pascal Hitzler FAtt 24 2 0 23 Jan 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 95 9 0 20 Jan 2023
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Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 124 20 0 30 Dec 2022
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Doubly Right Object Recognition: A Why Prompt for Visual Rationales Chengzhi Mao Revant Teotia Amrutha Sundar Sachit Menon Junfeng Yang Xin Eric Wang Carl Vondrick 68 31 0 12 Dec 2022
AI Model Utilization Measurements For Finding Class Encoding Patterns P. Bajcsy Antonio Cardone Chenyi Ling Philippe Dessauw Michael Majurski Timothy Blattner D. Juba Walid Keyrouz 55 0 0 12 Dec 2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 87 87 0 09 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 76 42 0 07 Dec 2022
Teaching Matters: Investigating the Role of Supervision in Vision Transformers Matthew Walmer Saksham Suri Kamal Gupta Abhinav Shrivastava 77 33 0 07 Dec 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 117 0 0 28 Nov 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 104 0 0 25 Nov 2022
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Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 148 235 0 21 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 58 6 0 19 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 91 11 0 18 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 87 7 0 17 Nov 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models Xiaozhi Wang Kaiyue Wen Zhengyan Zhang Lei Hou Zhiyuan Liu Juanzi Li MILM MoE 88 52 0 14 Nov 2022
An Interpretable Neuron Embedding for Static Knowledge Distillation Wei Han Yang Wang Christian Böhm Junming Shao 29 0 0 14 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning Yebin Liu Chris Xing Tian Haoliang Li Shiqi Wang 99 1 0 13 Nov 2022
RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection Soumen Basu Mayank Gupta Pratyaksha Rana Pankaj Gupta Chetan Arora ViT MedIm 81 33 0 09 Nov 2022
Much Easier Said Than Done: Falsifying the Causal Relevance of Linear Decoding Methods L. Hayne Abhijit Suresh Hunar Jain Rahul Kumar R. M. Carter FAtt 55 1 0 08 Nov 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-Man Cheung 124 46 0 29 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 152 15 0 20 Oct 2022
Computational pathology in renal disease: a comprehensive perspective M. Cossio MedIm 35 1 0 18 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh Chawla 79 43 0 17 Oct 2022
Measures of Information Reflect Memorization Patterns Rachit Bansal Danish Pruthi Yonatan Belinkov 110 10 0 17 Oct 2022
Defects of Convolutional Decoder Networks in Frequency Representation Ling Tang Wen Shen Zhanpeng Zhou YueFeng Chen Quanshi Zhang 71 15 0 17 Oct 2022
Explaining Image Classification with Visual Debates Avinash Kori Ben Glocker Francesca Toni 65 1 0 17 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
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Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 92 52 0 30 Sep 2022
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DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 76 10 0 14 Sep 2022
Concept-Based Explanations for Tabular Data Varsha Pendyala Jihye Choi FaML XAI FAtt 74 3 0 13 Sep 2022
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization Shakeeb Murtaza Soufiane Belharbi M. Pedersoli Aydin Sarraf Eric Granger ViT WSOL 134 16 0 09 Sep 2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing Iro Laina Yuki M. Asano Andrea Vedaldi SSL 69 8 0 07 Sep 2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis Qian Chen Xingjian Dong Guowei Tu Dong Wang Baoxuan Zhao Zhike Peng AI4CE 41 76 0 05 Sep 2022
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Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lio MILM 78 42 0 22 Aug 2022