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1608.00507
Cited By
Top-down Neural Attention by Excitation Backprop
1 August 2016
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
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Papers citing
"Top-down Neural Attention by Excitation Backprop"
50 / 317 papers shown
Title
Continual learning under domain transfer with sparse synaptic bursting
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Robust Counterfactual Explanations on Graph Neural Networks
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28 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
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David Neumann
Wojciech Samek
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Sebastian Lapuschkin
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24 Jun 2021
Evaluation of Saliency-based Explainability Method
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CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
M. Jalwana
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20 Jun 2021
NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights
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Anna Hedström
Shinichi Nakajima
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Keep CALM and Improve Visual Feature Attribution
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The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
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Where and When: Space-Time Attention for Audio-Visual Explanations
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Detector-Free Weakly Supervised Grounding by Separation
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Sivan Doveh
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J. Shtok
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Rogerio Feris
Leonid Karlinsky
92
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GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
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Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
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Mengnan Du
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Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation
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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
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NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
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Esther Luna Colombini
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Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
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Lu Rao
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Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
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Xuanyu Wu
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Jiang Bian
Dejing Dou
AAML
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HAI
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19 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation
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Xinchen Liu
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108
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02 Mar 2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
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Joonatan Mänttäri
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Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
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Just Noticeable Difference for Deep Machine Vision
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Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring
S. Sattarzadeh
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Yeonjeong Jeong
Hyunwoo J. Kim
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51
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15 Feb 2021
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Hyungsik Jung
Youngrock Oh
FAtt
64
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Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Matthew Lyle Olson
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Weng-Keen Wong
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On the Control of Attentional Processes in Vision
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iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
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Quantitative Evaluations on Saliency Methods: An Experimental Study
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Wei Bai
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TransPose: Keypoint Localization via Transformer
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Zhibin Quan
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Transformer Interpretability Beyond Attention Visualization
Hila Chefer
Shir Gur
Lior Wolf
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Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN
N. Yudistira
M. Kavitha
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Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
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Thomas Lukasiewicz
196
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NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
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Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
Shir Gur
Ameen Ali
Lior Wolf
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68
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Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
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Wassim Swaileh
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Play Fair: Frame Attributions in Video Models
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Dima Damen
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55
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Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
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138
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Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
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Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
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One Explanation is Not Enough: Structured Attention Graphs for Image Classification
Vivswan Shitole
Li Fuxin
Minsuk Kahng
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Alan Fern
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Machine versus Human Attention in Deep Reinforcement Learning Tasks
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Ruohan Zhang
Bo Liu
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Attribution Preservation in Network Compression for Reliable Network Interpretation
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J. Yang
Sung Ju Hwang
Eunho Yang
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LID 2020: The Learning from Imperfect Data Challenge Results
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Shuai Zheng
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Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
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