Top-down Neural Attention by Excitation Backprop

1 August 2016

Papers citing "Top-down Neural Attention by Excitation Backprop"

50 / 317 papers shown

Title
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 111 20 0 06 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 56 8 0 05 Nov 2022
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models Atsushi Kikuchi Kotaro Uchida Masaki Waga Kohei Suenaga FAtt 69 1 0 31 Oct 2022
Neural Networks are Decision Trees Çağlar Aytekin FAtt 98 25 0 11 Oct 2022
Ablation Path Saliency Justus Sagemüller Olivier Verdier FAtt AAML 48 0 0 26 Sep 2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning Jinlong Li Zequn Jie Xu Wang Yu Zhou Xiaolin K. Wei Lin Ma VLM 126 20 0 16 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang Hang Shen 84 45 0 15 Sep 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 60 6 0 07 Sep 2022
Generating detailed saliency maps using model-agnostic methods Maciej Sakowicz FAtt 45 0 0 04 Sep 2022
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 106 14 0 30 Aug 2022
The Weighting Game: Evaluating Quality of Explainability Methods Lassi Raatikainen Esa Rahtu FAtt XAI 36 5 0 12 Aug 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 63 2 0 26 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 103 0 0 04 Jul 2022
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations Ziyan Yang Kushal Kafle Franck Dernoncourt Vicente Ordónez Román VLM 90 25 0 30 Jun 2022
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs Tal Shaharabany Yoad Tewel Lior Wolf ObjD 91 16 0 19 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 38 9 0 17 Jun 2022
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features V. V. Ramaswamy Sunnie S. Y. Kim Nicole Meister Ruth C. Fong Olga Russakovsky FAtt 70 14 0 15 Jun 2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations Teodor Chiaburu F. Biessmann Frank Haußer 55 2 0 15 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 74 47 0 08 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 75 6 0 06 Jun 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 79 8 0 25 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 100 2 0 22 May 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 89 33 0 20 May 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl Georg Krispel Horst Possegger P. Roth Horst Bischof 3DPC 60 19 0 13 Apr 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 59 19 0 27 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang Maurice Pagnucco Yang Song 63 31 0 17 Mar 2022
Do Explanations Explain? Model Knows Best Ashkan Khakzar Pedram J. Khorsandi Rozhin Nobahari Nassir Navab XAI AAML FAtt 38 24 0 04 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks Mohammad Mahdi Dehshibi Mona Ashtari-Majlan Gereziher W. Adhane David Masip AAML FAtt 45 3 0 02 Mar 2022
On Guiding Visual Attention with Language Specification Suzanne Petryk Lisa Dunlap Keyan Nasseri Joseph E. Gonzalez Trevor Darrell Anna Rohrbach VLM 249 32 1 17 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 87 179 0 14 Feb 2022
Multi-Modal Knowledge Graph Construction and Application: A Survey Xiangru Zhu Zhixu Li Xiaodan Wang Xueyao Jiang Penglei Sun Xuwu Wang Yanghua Xiao N. Yuan 73 167 0 11 Feb 2022
Keyword localisation in untranscribed speech using visually grounded speech models Kayode Olaleye Dan Oneaţă Herman Kamper 60 7 0 02 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 91 15 0 23 Jan 2022
Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger 107 12 0 07 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 109 142 0 03 Jan 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 88 66 0 21 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 43 14 0 19 Dec 2021
Neural Attention Models in Deep Learning: Survey and Taxonomy Alana de Santana Correia Esther Colombini MLAU 48 19 0 11 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 158 119 0 06 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 73 10 0 06 Dec 2021
Reinforcement Explanation Learning Siddhant Agarwal Owais Iqbal Sree Aditya Buridi Madda Manjusha Abir Das FAtt 23 0 0 26 Nov 2021
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution Yuanfei Huang Jie Li Yanting Hu Xinbo Gao Huan Huang SupR 71 0 0 16 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 72 23 0 09 Nov 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 163 64 0 07 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 69 2 0 01 Nov 2021
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 78 15 0 16 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency Lin Cheng Pengfei Fang Yanjie Liang Liao Zhang Chunhua Shen Hanzi Wang FAtt 128 12 0 11 Oct 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang Ashkan Khakzar Yawei Li Azade Farshad Seong Tae Kim Nassir Navab FAtt XAI 102 29 0 04 Oct 2021
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 70 21 0 01 Oct 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 49 5 0 13 Sep 2021