Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

50 / 294 papers shown

Title
Task Reconstruction and Extrapolation for $π_0$ using Text Latent Quanyi Li 45 0 0 06 May 2025
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 31 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 234 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 51 0 0 25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 251 0 0 24 Apr 2025
Decoding Vision Transformers: the Diffusion Steering Lens Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 37 0 0 18 Apr 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi Chong Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 71 0 0 12 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
LaVCa: LLM-assisted Visual Cortex Captioning Takuya Matsuyama Shinji Nishimoto Yu Takagi 65 1 0 20 Feb 2025
TinyEmo: Scaling down Emotional Reasoning via Metric Projection Cristian Gutierrez LRM 69 0 0 17 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 111 7 0 06 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 50 5 0 28 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 44 0 0 12 Jan 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios Marko Tuononen Dani Korpi Ville Hautamäki FAtt 41 2 0 10 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 89 0 0 23 Nov 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 54 0 0 10 Oct 2024
Measuring Sound Symbolism in Audio-visual Models Wei-Cheng Tseng Yi-Jen Shih David Harwath Raymond Mooney 42 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 37 5 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 54 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 52 3 0 08 Jul 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models Tung-Yu Wu Yu-Xiang Lin Tsui-Wei Weng 54 1 0 24 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 49 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 55 1 0 05 Jun 2024
Linear Explanations for Individual Neurons Tuomas P. Oikarinen Tsui-Wei Weng FAtt MILM 31 6 0 10 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 68 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 39 18 0 22 Apr 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla Alexander X. Oesterling Suraj Srinivas Flavio du Pin Calmon Himabindu Lakkaraju 49 36 0 16 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 33 27 0 08 Feb 2024
Defining and Extracting generalizable interaction primitives from DNNs Lu Chen Siyu Lou Benhao Huang Quanshi Zhang 39 9 0 29 Jan 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 46 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 34 0 0 05 Jan 2024
Conceptualizing the Relationship between AI Explanations and User Agency Iyadunni Adenuga Jonathan Dodge 29 2 0 05 Dec 2023
Labeling Neural Representations with Inverse Recognition Kirill Bykov Laura Kopf Shinichi Nakajima Marius Kloft Marina M.-C. Höhne BDL 39 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 27 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 30 5 0 09 Oct 2023
Coarse-to-Fine Concept Bottleneck Models Konstantinos P. Panousis Dino Ienco Diego Marcos 35 5 0 03 Oct 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation Yanjie Ze Yuyao Liu Ruizhe Shi Jiaxin Qin Zhecheng Yuan Jiashun Wang Huazhe Xu 41 1 0 02 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 36 1 0 26 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 42 7 0 04 Sep 2023
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 39 0 0 19 Aug 2023
Identifying Interpretable Subspaces in Image Representations Neha Kalibhat S. Bhardwaj Bayan Bruss Hamed Firooz Maziar Sanjabi S. Feizi FAtt 47 26 0 20 Jul 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 43 4 0 13 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 35 0 0 07 Jul 2023
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling Till Speicher Vedant Nanda Mariya Toneva Krishna P. Gummadi 30 1 0 30 May 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 50 109 0 29 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 64 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 36 47 0 17 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 63 66 0 10 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 27 1 0 09 May 2023