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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Title
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 65 1 0 20 Aug 2022
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The SVD of Convolutional Weights: A CNN Interpretability Framework Brenda Praggastis Davis Brown Carlos Ortiz Marrero Emilie Purvine Madelyn Shapiro Bei Wang FAtt 73 10 0 14 Aug 2022
E Pluribus Unum Interpretable Convolutional Neural Networks George Dimas Eirini Cholopoulou D. Iakovidis 76 3 0 10 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Yusuf Brima M. Atemkeng FAtt MedIm 76 1 0 01 Aug 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning Lizhao Liu Shan Huang Zhuangwei Zhuang Ran Yang Mingkui Tan Yaowei Wang 96 7 0 30 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 128 134 0 27 Jul 2022
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration Ming-Yu Liu Yuxiang Wei Xiaohe Wu Wangmeng Zuo Lei Zhang 96 1 0 21 Jul 2022
Explaining Deepfake Detection by Analysing Image Matching S. Dong Jin Wang Jiajun Liang Haoqiang Fan Renhe Ji 72 52 0 20 Jul 2022
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky FAtt 70 29 0 20 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 99 0 0 14 Jul 2022
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture H. Niknazar S. Mednick 51 5 0 11 Jul 2022
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Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 79 2 0 05 Jul 2022
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention Gary Leung Jun Gao Fangyin Wei Sanja Fidler 82 3 0 05 Jul 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations Avinash Kori Ben Glocker Francesca Toni 63 6 0 05 Jul 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 108 3 0 04 Jul 2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li Haoyi Xiong Yi Liu Dingfu Zhou Zeyu Chen Yaqing Wang Dejing Dou 55 8 0 04 Jul 2022
Interpretable by Design: Learning Predictors by Composing Interpretable Queries Aditya Chattopadhyay Stewart Slocum B. Haeffele René Vidal D. Geman 113 24 0 03 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 97 90 0 29 Jun 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 75 6 0 28 Jun 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 122 12 0 28 Jun 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 88 33 0 27 Jun 2022
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations Lin Zhao Haixing Dai Zihao Wu Zhe Xiao Lu Zhang ... Xintao Hu Xi Jiang Sheng Li Dajiang Zhu Tianming Liu 80 8 0 22 Jun 2022
A Dynamic Data Driven Approach for Explainable Scene Understanding Z. Daniels Dimitris N. Metaxas FAtt 51 3 0 18 Jun 2022
What do navigation agents learn about their environment? Kshitij Dwivedi Gemma Roig Aniruddha Kembhavi Roozbeh Mottaghi 77 12 0 17 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 92 42 0 16 Jun 2022
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features V. V. Ramaswamy Sunnie S. Y. Kim Nicole Meister Ruth C. Fong Olga Russakovsky FAtt 84 14 0 15 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 68 10 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 123 13 0 09 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 87 150 0 07 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Zou 245 198 0 31 May 2022
On the Symmetries of Deep Learning Models and their Internal Representations Charles Godfrey Davis Brown Tegan H. Emerson Henry Kvinge 104 45 0 27 May 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 81 8 0 25 May 2022
Functional Network: A Novel Framework for Interpretability of Deep Neural Networks Ben Zhang Zhetong Dong Junsong Zhang Hongwei Lin 76 9 0 24 May 2022
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps Donald Bertucci M. Hamid Yashwanthi Anand Anita Ruangrotsakun Delyar Tabatabai Melissa Perez Minsuk Kahng 82 30 0 14 May 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering Lukas Schulth Christian Berghoff Matthias Neu AAML 63 5 0 27 Apr 2022
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks Tuomas P. Oikarinen Tsui-Wei Weng VLM 63 90 1 23 Apr 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin Hongteng Xu Canqian Yang Yi Xu 74 25 0 20 Apr 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala Aleksander Madry 95 37 0 19 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 58 3 0 17 Apr 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 63 3 0 16 Apr 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 79 89 0 15 Apr 2022
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention Yu Yang Seung Wook Kim Jungseock Joo FAtt 61 17 0 10 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 64 46 0 06 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 59 0 0 04 Apr 2022