Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

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

50 / 207 papers shown

Title
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
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 24 1 0 18 Dec 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 12 0 0 25 Nov 2022
Interpreting Neural Networks through the Polytope Lens Sid Black Lee D. Sharkey Léo Grinsztajn Eric Winsor Daniel A. Braun ... Kip Parker Carlos Ramón Guevara Beren Millidge Gabriel Alfour Connor Leahy FAtt MILM 21 22 0 22 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 35 211 0 21 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 24 6 0 19 Nov 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models Xiaozhi Wang Kaiyue Wen Zhengyan Zhang Lei Hou Zhiyuan Liu Juanzi Li MILM MoE 19 50 0 14 Nov 2022
Computational pathology in renal disease: a comprehensive perspective M. Cossio MedIm 17 1 0 18 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts Zhihao Wang Chuang Zhu 22 1 0 07 Oct 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 21 91 0 14 Sep 2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 34 10 0 14 Sep 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lió MILM 29 41 0 22 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 26 12 0 19 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Yusuf Brima M. Atemkeng FAtt MedIm 21 0 0 01 Aug 2022
Activation Template Matching Loss for Explainable Face Recognition Huawei Lin Haozhe Liu Qiufu Li Linlin Shen CVBM 27 1 0 05 Jul 2022
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention Gary Leung Jun Gao Xiaohui Zeng Sanja Fidler 13 3 0 05 Jul 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations Avinash Kori Ben Glocker Francesca Toni 19 6 0 05 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 16 89 0 29 Jun 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 21 32 0 27 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 25 131 0 07 Jun 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 138 185 0 31 May 2022
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps Donald Bertucci M. Hamid Yashwanthi Anand Anita Ruangrotsakun Delyar Tabatabai Melissa Perez Minsuk Kahng 38 29 0 14 May 2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction Tiancheng Lin Hongteng Xu Canqian Yang Yi Xu 16 24 0 20 Apr 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 16 81 0 15 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 17 0 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 19 2 0 30 Mar 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 17 140 0 27 Mar 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 19 28 0 25 Mar 2022
Self-supervised Semantic Segmentation Grounded in Visual Concepts Wenbin He William C. Surmeier A. Shekar Liangke Gou Liu Ren SSL 21 7 0 25 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD) Johanna Vielhaben Stefan Blücher Nils Strodthoff 23 6 0 11 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features N. Kalibhat Kanika Narang Hamed Firooz Maziar Sanjabi S. Feizi SSL 31 7 0 03 Mar 2022
A study on the distribution of social biases in self-supervised learning visual models Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 22 18 0 03 Mar 2022
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification Jun Chen Weng-Keen Wong B. Hamdaoui Abdurrahman Elmaghbub K. Sivanesan R. Dorrance Lily L. Yang 10 10 0 20 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 21 37 0 06 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 17 1 0 30 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip H. S. Torr FAtt 48 15 0 23 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 11 1 0 31 Dec 2021
Neural-Symbolic Integration for Interactive Learning and Conceptual Grounding Benedikt Wagner Artur Garcez NAI 8 5 0 22 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training Chen Wei Haoqi Fan Saining Xie Chaoxia Wu Alan Yuille Christoph Feichtenhofer ViT 56 655 0 16 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 29 9 0 06 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 175 89 0 02 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 Dec 2021
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation Rui Wang Jian Chen Gang Yu Li Sun Changqian Yu Changxin Gao Nong Sang 25 17 0 25 Nov 2021
Efficient Decompositional Rule Extraction for Deep Neural Networks Mateo Espinosa Zarlenga Z. Shams M. Jamnik 14 16 0 24 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 13 301 0 01 Nov 2021