Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

50 / 192 papers shown

Title
Task Reconstruction and Extrapolation for $π_0$ using Text Latent Quanyi Li 30 0 0 06 May 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 21 0 0 06 May 2025
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 112 0 0 30 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 40 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 123 0 0 24 Apr 2025
Decoding Vision Transformers: the Diffusion Steering Lens Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 30 0 0 18 Apr 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
Model Lakes Koyena Pal David Bau Renée J. Miller 63 0 0 24 Feb 2025
LaVCa: LLM-assisted Visual Cortex Captioning Takuya Matsuyama Shinji Nishimoto Yu Takagi 48 0 0 20 Feb 2025
TinyEmo: Scaling down Emotional Reasoning via Metric Projection Cristian Gutierrez LRM 62 0 0 17 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 100 7 0 06 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 43 4 0 28 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 36 0 0 12 Jan 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 69 0 0 23 Nov 2024
Measuring Sound Symbolism in Audio-visual Models Wei-Cheng Tseng Yi-Jen Shih David Harwath Raymond Mooney 32 0 0 18 Sep 2024
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 33 6 0 13 Sep 2024
Smooth InfoMax -- Towards easier Post-Hoc interpretability Fabian Denoodt Bart de Boer José Oramas 21 2 0 23 Aug 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 41 0 0 30 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 44 3 0 08 Jul 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models Tung-Yu Wu Yu-Xiang Lin Tsui-Wei Weng 50 1 0 24 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 36 2 0 11 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift Peng Zhao Runchu Dong Guiqin Wang Cong Zhao 31 1 0 05 Jun 2024
Linear Explanations for Individual Neurons Tuomas P. Oikarinen Tsui-Wei Weng FAtt MILM 29 5 0 10 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 52 5 0 02 May 2024
A Multimodal Automated Interpretability Agent Tamar Rott Shaham Sarah Schwettmann Franklin Wang Achyuta Rajaram Evan Hernandez Jacob Andreas Antonio Torralba 29 17 0 22 Apr 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 26 26 0 08 Feb 2024
Defining and Extracting generalizable interaction primitives from DNNs Lu Chen Siyu Lou Benhao Huang Quanshi Zhang 26 9 0 29 Jan 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 28 1 0 25 Jan 2024
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron Captioning Alfirsa Damasyifa Fauzulhaq Wahyu Parwitayasa Joseph A. Sugihdharma M. F. Ridhani N. Yudistira 20 0 0 05 Jan 2024
Conceptualizing the Relationship between AI Explanations and User Agency Iyadunni Adenuga Jonathan Dodge 19 1 0 05 Dec 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 19 15 0 22 Nov 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 Oct 2023
The Importance of Prompt Tuning for Automated Neuron Explanations Justin Lee Tuomas P. Oikarinen Arjun Chatha Keng-Chi Chang Yilan Chen Tsui-Wei Weng LRM 17 5 0 09 Oct 2023
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
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 32 7 0 04 Sep 2023
Identifying Interpretable Subspaces in Image Representations N. Kalibhat S. Bhardwaj Bayan Bruss Hamed Firooz Maziar Sanjabi S. Feizi FAtt 30 26 0 20 Jul 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 36 4 0 13 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 22 0 0 07 Jul 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 32 106 0 29 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 51 1 0 26 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 16 46 0 17 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 45 64 0 10 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 15 1 0 09 May 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations M. Wong M. Ramanujam Guha Balakrishnan Ravi Netravali 22 4 0 04 Apr 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 19 0 0 27 Mar 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 27 7 0 23 Mar 2023
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Z. Kong Kwan-Liu Ma AAML FAtt 14 2 0 01 Mar 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 31 9 0 20 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs Yinghao Xu Yujun Shen Jiapeng Zhu Ceyuan Yang Bolei Zhou 23 2 0 12 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