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
Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy Sara Mann Barnaby Crook Lena Kästner Astrid Schomacker Timo Speith 48 2 0 26 Jul 2023
Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image type Romy Müller Marcel Duerschmidt Julian Ullrich Carsten Knoll Sascha Weber Steffen Seitz HAI 85 7 0 25 Jul 2023
Identifying Interpretable Subspaces in Image Representations Neha Kalibhat S. Bhardwaj Bayan Bruss Hamed Firooz Maziar Sanjabi Soheil Feizi FAtt 106 28 0 20 Jul 2023
The semantic landscape paradigm for neural networks Shreyas Gokhale 94 2 0 18 Jul 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 94 5 0 13 Jul 2023
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models Roland S. Zimmermann Thomas Klein Wieland Brendel 99 17 0 11 Jul 2023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey Pranav Singh Chib Pravendra Singh 83 126 0 10 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 65 0 0 07 Jul 2023
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao Keshigeyan Chandrasegaran Abdollahzadeh Milad Chao Du Tianyu Pang Ruoteng Li Henghui Ding Ngai-Man Cheung 82 0 0 04 Jul 2023
Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher 80 31 0 15 Jun 2023
On the Joint Interaction of Models, Data, and Features Yiding Jiang Christina Baek J. Zico Kolter FedML 59 4 0 07 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 127 31 0 07 Jun 2023
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research Timo Freiesleben Gunnar Konig 61 20 0 07 Jun 2023
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility Kacper Sokol Julia E. Vogt 75 10 0 04 Jun 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 147 120 0 29 May 2023
On the special role of class-selective neurons in early training Omkar Ranadive Nikhil Thakurdesai Ari S. Morcos Matthew L. Leavitt Stéphane Deny 74 2 0 27 May 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 109 1 0 26 May 2023
On the Impact of Knowledge Distillation for Model Interpretability Hyeongrok Han Siwon Kim Hyun-Soo Choi Sungroh Yoon 64 5 0 25 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 Yu Jianfeng Gao MILM 82 58 0 17 May 2023
Towards Visual Saliency Explanations of Face Verification Yuhang Lu Zewei Xu Touradj Ebrahimi FAtt XAI CVBM 68 11 0 15 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 183 75 0 10 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 64 1 0 09 May 2023
DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches Yuwen Heng S. Dasmahapatra Hansung Kim 116 1 0 06 May 2023
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models Qihan Ren Maximilian Brunner Wen Shen S. Mintchev 91 12 0 03 May 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 285 218 0 02 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 162 63 0 01 May 2023
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade 60 2 0 30 Apr 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 83 9 0 28 Apr 2023
Concept-Monitor: Understanding DNN training through individual neurons Mohammad Ali Khan Tuomas P. Oikarinen Tsui-Wei Weng 103 2 0 26 Apr 2023
Learning Bottleneck Concepts in Image Classification Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara SSL 108 46 0 20 Apr 2023
Disentangling Neuron Representations with Concept Vectors Laura O'Mahony Vincent Andrearczyk Henning Muller Mara Graziani MILM 102 14 0 19 Apr 2023
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation Yunqing Zhao Chao Du Milad Abdollahzadeh Tianyu Pang Min Lin Shuicheng Yan Ngai-Man Cheung 103 21 0 15 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 54 4 0 13 Apr 2023
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification Mohammad Reza Taesiri Giang Nguyen Sarra Habchi Cor-Paul Bezemer Anh Totti Nguyen VLM 87 22 0 11 Apr 2023
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition M. Stettler Alexander Lappe N. Taubert M. Giese 3DH 52 0 0 05 Apr 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations M. Wong M. Ramanujam Guha Balakrishnan Ravi Netravali 103 5 0 04 Apr 2023
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers Naveed Akhtar M. Jalwana FAtt AAML 70 7 0 31 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 72 0 0 29 Mar 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 63 0 0 27 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 83 2 0 26 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 175 35 0 24 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 94 45 0 23 Mar 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 86 7 0 23 Mar 2023
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations Alexandros Doumanoglou S. Asteriadis D. Zarpalas SSL FAtt 41 4 0 19 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Zhijie Wang Yuheng Huang Basel Alomair Lei Ma Tianyi Zhang HAI 107 7 0 02 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 67 3 0 01 Mar 2023
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 98 31 0 25 Feb 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools Stephen Casper Yuxiao Li Jiawei Li Tong Bu Ke Zhang K. Hariharan Dylan Hadfield-Menell AAML 124 15 0 08 Feb 2023
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis Roxana Daneshjou Mert Yuksekgonul Zhuo Cai R. Novoa J. Zou 99 50 0 01 Feb 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics Naveed Akhtar XAI VLM 72 7 0 31 Jan 2023