Interpreting Deep Visual Representations via Network Dissection

15 November 2017

Antonio Torralba

Papers citing "Interpreting Deep Visual Representations via Network Dissection"

42 / 42 papers shown

Title
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 97 0 0 20 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 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
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 28 0 0 13 Jun 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 27 4 0 21 Apr 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 25 87 0 11 Jan 2024
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 30 1 0 26 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 50 2 0 24 Aug 2023
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz Aydin Alatan FedML 23 2 0 14 Jul 2023
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining Jinjin Gu Xianzheng Ma Xiangtao Kong Yu Qiao Chao Dong 26 12 0 24 May 2023
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification Zhenpeng Feng H. Ji M. Daković Xiyang Cui Mingzhe Zhu Ljubisa Stankovic 11 6 0 03 Feb 2023
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models Peter Hase Mohit Bansal Been Kim Asma Ghandeharioun MILM 29 167 0 10 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 43 17 0 30 Dec 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 14 4 0 17 Nov 2022
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation Peihao Chen Dongyu Ji Kun-Li Channing Lin Runhao Zeng Thomas H. Li Mingkui Tan Chuang Gan SSL 20 61 0 14 Oct 2022
Feature Embedding by Template Matching as a ResNet Block Ada Gorgun Y. Z. Gürbüz Aydin Alatan 13 1 0 03 Oct 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 55 5 0 15 Sep 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 27 1 0 05 Jul 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 11 37 0 04 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Li Judy Hoffman Duen Horng Chau 17 2 0 30 Mar 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 6 7 0 01 Mar 2022
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons Chandresh Pravin Ivan Martino Giuseppe Nicosia Varun Ojha AAML 22 2 0 31 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 24 9 0 06 Dec 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 18 56 0 07 Sep 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 16 3 0 23 Aug 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 10 3 0 26 Jun 2021
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis Xianjing Liu Bo-wen Li Esther E. Bron W. Niessen E. Wolvius Gennady Roshchupkin CVBM 24 9 0 25 Jun 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 17 26 0 11 May 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 43 650 0 20 Mar 2021
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 36 82 0 17 Mar 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen O. Seneviratne D. McGuinness 24 28 0 17 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 43 33 0 03 Mar 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 12 313 0 05 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 26 990 0 22 Dec 2019
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 11 29 0 10 Dec 2019
Visual Explanation for Deep Metric Learning Sijie Zhu Taojiannan Yang C. L. P. Chen FAtt 14 33 0 27 Sep 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 19 66 0 16 Jul 2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness Jiawang Bai Yiming Li Jiawei Li Yong Jiang Shutao Xia 21 14 0 14 Mar 2019
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 19 2 0 09 Nov 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 35 418 0 15 Feb 2018
Do semantic parts emerge in Convolutional Neural Networks? Abel Gonzalez-Garcia Davide Modolo V. Ferrari 150 113 0 13 Jul 2016