Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

50 / 787 papers shown

Title
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation Wenhan Chang Tianqing Zhu Ping Xiong Yufeng Wu Faqian Guan Wanlei Zhou MU 80 0 0 31 Oct 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong Yixiong Zou Yuhua Li Ruixuan Li 96 6 0 29 Oct 2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts Laines Schmalwasser J. Gawlikowski Joachim Denzler Julia Niebling 57 2 0 23 Oct 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang Jie Song Mengqi Xue Han Zhang Bingde Hu Huiqiong Wang Hao Jiang Xingen Wang Xiuming Zhang VLM 75 3 0 14 Oct 2024
Why pre-training is beneficial for downstream classification tasks? Xin Jiang Xu Cheng Zechao Li 70 0 0 11 Oct 2024
Audio Explanation Synthesis with Generative Foundation Models Alican Akman Qiyang Sun Björn W. Schuller 75 1 0 10 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 268 0 0 10 Oct 2024
MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models Kaichen Huang Jiahao Huo Yibo Yan Kun Wang Yutao Yue Xuming Hu 80 2 0 07 Oct 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 67 2 0 27 Sep 2024
Unveiling Ontological Commitment in Multi-Modal Foundation Models Mert Keser Gesina Schwalbe Niki Amini-Naieni Matthias Rottmann Alois Knoll 53 1 0 25 Sep 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 109 2 0 20 Sep 2024
Measuring Sound Symbolism in Audio-visual Models Wei-Cheng Tseng Yi-Jen Shih David Harwath Raymond Mooney 92 0 0 18 Sep 2024
Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making Som Sagar Aditya Taparia Harsh Mankodiya Pranav M Bidare Yifan Zhou Ransalu Senanayake FAtt 72 0 0 16 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 118 3 0 16 Sep 2024
Layerwise Change of Knowledge in Neural Networks Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 74 5 0 13 Sep 2024
Quantifying Emergence in Neural Networks: Insights from Pruning and Training Dynamics Faisal AlShinaifi Zeyad Almoaigel Johnny Jingze Li Abdulla Kuleib Gabriel A. Silva 44 0 0 03 Sep 2024
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems Sujay Koujalgi Andrew Anderson Iyadunni Adenuga Shikha Soneji Rupika Dikkala ... Leo Soccio Sourav Panda Rupak Kumar Das Margaret Burnett Jonathan Dodge 73 2 0 23 Aug 2024
Smooth InfoMax -- Towards Easier Post-Hoc Interpretability Fabian Denoodt Bart de Boer José Oramas 178 2 0 23 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery Weiji Kong Xun Gong Juan Wang 33 1 0 19 Aug 2024
Improving Network Interpretability via Explanation Consistency Evaluation Hefeng Wu Hao Jiang Keze Wang Ziyi Tang Xianghuan He Liang Lin FAtt AAML 95 0 0 08 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 58 1 0 02 Aug 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 88 1 0 30 Jul 2024
Towards the Dynamics of a DNN Learning Symbolic Interactions Qihan Ren Yang Xu Junpeng Zhang Yue Xin Dongrui Liu Quanshi Zhang 87 9 0 27 Jul 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective Meng Wang Yunzhi Yao Ziwen Xu Shuofei Qiao Shumin Deng ... Yong Jiang Pengjun Xie Fei Huang Huajun Chen Ningyu Zhang 143 39 0 22 Jul 2024
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain Hyeon Bae Kim Yong Hyun Ahn Seong Tae Kim 84 1 0 16 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 92 9 0 08 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 78 3 0 08 Jul 2024
Concept Bottleneck Models Without Predefined Concepts Simon Schrodi Julian Schur Max Argus Thomas Brox 84 12 0 04 Jul 2024
Towards Compositionality in Concept Learning Adam Stein Aaditya Naik Yinjun Wu Mayur Naik Eric Wong CoGe 125 3 0 26 Jun 2024
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space Huzheng Yang James Gee Jianbo Shi VOS 68 2 0 26 Jun 2024
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation Jinbin Huang Wenbin He Liang Gou Liu Ren Chris Bryan 115 0 0 25 Jun 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models Tung-Yu Wu Yu-Xiang Lin Tsui-Wei Weng 108 2 0 24 Jun 2024
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model Jiahao Huo Yibo Yan Boren Hu Yutao Yue Xuming Hu LRM MLLM 104 8 0 17 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level Heng Xu Tianqing Zhu Wanlei Zhou Wei Zhao MU 80 5 0 16 Jun 2024
LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions N. Hoang-Xuan Minh Nhat Vu My T. Thai 72 4 0 12 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 91 2 0 11 Jun 2024
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan Rushikesh Zawar Prakanshul Saxena Yingshan Chang Andrew F. Luo Yonatan Bisk DiffM 117 4 0 07 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift Peng Zhao Runchu Dong Guiqin Wang Cong Zhao 105 2 0 05 Jun 2024
Searching for internal symbols underlying deep learning J. H. Lee Sujith Vijayan AI4CE 94 0 0 31 May 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 58 7 0 30 May 2024
CoSy: Evaluating Textual Explanations of Neurons Laura Kopf P. Bommer Anna Hedström Sebastian Lapuschkin Marina M.-C. Höhne Kirill Bykov 70 13 0 30 May 2024
I Bet You Did Not Mean That: Testing Semantic Importance via Betting Jacopo Teneggi Jeremias Sulam FAtt 141 2 0 29 May 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 98 2 0 27 May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions Vinamra Benara Chandan Singh John X. Morris Richard Antonello Ion Stoica Alexander G. Huth Jianfeng Gao 69 6 0 26 May 2024
Linear Explanations for Individual Neurons Tuomas P. Oikarinen Tsui-Wei Weng FAtt MILM 110 10 0 10 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models Nithish Muthuchamy Selvaraj Xiaobao Guo Bingquan Shen A. Kong Alex C. Kot VLM 116 0 0 03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 109 1 0 02 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 95 10 0 02 May 2024
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability Meng Li Haoran Jin Ruixuan Huang Zhihao Xu Defu Lian Zijia Lin Di Zhang Xiting Wang LRM 33 4 0 29 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition Felipe Torres Hanwei Zhang R. Sicre Stéphane Ayache Yannis Avrithis 84 1 0 23 Apr 2024