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2004.03383
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Attribution in Scale and Space
Computer Vision and Pattern Recognition (CVPR), 2020
3 April 2020
Shawn Xu
Subhashini Venugopalan
Mukund Sundararajan
FAtt
BDL
Re-assign community
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Papers citing
"Attribution in Scale and Space"
50 / 52 papers shown
Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better
Ruojing Li
Wei An
Xinyi Ying
Yingqian Wang
Yimian Dai
Longguang Wang
Miao Li
Yike Guo
Tianpeng Liu
230
5
0
30 Mar 2026
Enhancing Visual Feature Attribution via Weighted Integrated Gradients
Kien Tran Duc Tuan
Tam Nguyen Trong
Son Nguyen Hoang
Khoat Than
Anh Nguyen Duc
FAtt
296
0
0
06 May 2025
Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective
Guanhua Zheng
Jitao Sang
Changsheng Xu
AAML
FAtt
341
0
0
14 Mar 2025
Using the Path of Least Resistance to Explain Deep Networks
Sina Salek
Joseph Enguehard
FAtt
278
1
0
17 Feb 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
Tobias Leemann
Alina Fastowski
Felix Pfeiffer
Gjergji Kasneci
493
8
0
10 Jan 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Computer Vision and Pattern Recognition (CVPR), 2024
Won Jun Kim
Hyungjin Chung
Jaemin Kim
Sangmin Lee
Byeongsu Sim
Jong Chul Ye
DiffM
581
2
0
22 Nov 2024
Unlearning-based Neural Interpretations
International Conference on Learning Representations (ICLR), 2024
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
630
1
0
10 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation
Swadesh Swain
Shree Singhi
388
2
0
05 Oct 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
International Conference on Information and Knowledge Management (CIKM), 2024
Ruo Yang
Binghui Wang
M. Bilgic
FAtt
292
1
0
24 Sep 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Journal of Mathematical Imaging and Vision (JMIV), 2024
Andrzej Perzanowski
Tony Lindeberg
481
6
0
17 Sep 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
D. C. Marshall
Shuang Wu
Zihao Jin
Caiwen Xu
Shiyi Wang
Simon Walsh
Guang Yang
MedIm
429
7
0
21 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution
Yue Zhuo
Zhiqiang Ge
315
23
0
16 Jun 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
International Conference on Machine Learning (ICML), 2024
Eslam Zaher
Maciej Trzaskowski
Quan Nguyen
Fred Roosta
AAML
282
12
0
16 May 2024
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
Jun Huang
Yan Liu
FAtt
359
1
0
23 Apr 2024
Integrated Gradient Correlation: a Dataset-wise Attribution Method
Pierre Lelievre
Chien-Chung Chen
183
0
0
22 Apr 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
362
49
0
15 Mar 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry
Lars Nieradzik
Henrike Stephani
Jördis Sieburg-Rockel
Stephanie Helmling
Andrea Olbrich
Janis Keuper
FAtt
329
9
0
18 Feb 2024
Path Choice Matters for Clear Attribution in Path Methods
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
248
4
0
19 Jan 2024
Greedy PIG: Adaptive Integrated Gradients
Kyriakos Axiotis
Sami Abu-El-Haija
Lin Chen
Matthew Fahrbach
Gang Fu
FAtt
307
0
0
10 Nov 2023
Visual Explanations via Iterated Integrated Attributions
IEEE International Conference on Computer Vision (ICCV), 2023
Oren Barkan
Yehonatan Elisha
Yuval Asher
Amit Eshel
Noam Koenigstein
FAtt
XAI
203
33
0
28 Oct 2023
Deep Integrated Explanations
International Conference on Information and Knowledge Management (CIKM), 2023
Oren Barkan
Yehonatan Elisha
Jonathan Weill
Yuval Asher
Amit Eshel
Noam Koenigstein
FAtt
436
9
0
23 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class
Hongbo Zhu
Angelo Cangelosi
Procheta Sen
Anirbit Mukherjee
FAtt
313
0
0
07 Oct 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
Rangel Daroya
Aaron Sun
Subhransu Maji
222
1
0
20 Sep 2023
MAEA: Multimodal Attribution for Embodied AI
Vidhi Jain
Jayant Sravan Tamarapalli
Sahiti Yerramilli
Yonatan Bisk
309
9
0
25 Jul 2023
Towards credible visual model interpretation with path attribution
International Conference on Machine Learning (ICML), 2023
Naveed Akhtar
Muhammad A. A. K. Jalwana
FAtt
387
6
0
23 May 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability
Daniel Lundstrom
Meisam Razaviyayn
FAtt
444
3
0
04 May 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Hanjing Wang
D. Joshi
Maroun Touma
Q. Ji
UQCV
BDL
238
13
0
10 Apr 2023
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients
Computer Vision and Pattern Recognition (CVPR), 2023
Ruo Yang
Binghui Wang
M. Bilgic
316
28
0
24 Mar 2023
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
Yuan Cheng
Zu-Yun Shiau
Fu-En Yang
Yu-Chiang Frank Wang
230
6
0
19 Feb 2023
On the Relationship Between Explanation and Prediction: A Causal View
International Conference on Machine Learning (ICML), 2022
Amir-Hossein Karimi
Krikamol Muandet
Simon Kornblith
Bernhard Schölkopf
Been Kim
FAtt
CML
470
18
0
13 Dec 2022
Trade-off Between Efficiency and Consistency for Removal-based Explanations
Neural Information Processing Systems (NeurIPS), 2022
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
FAtt
522
7
0
31 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
British Machine Vision Conference (BMVC), 2022
Federico Baldassarre
Quentin Debard
Gonzalo Fiz Pontiveros
Tri Kurniawan Wijaya
327
5
0
07 Oct 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
Tianshu Feng
Zhipu Zhou
Tarun Joshi
V. Nair
FAtt
252
7
0
12 Aug 2022
Geometrically Guided Integrated Gradients
Md. Mahfuzur Rahman
N. Lewis
Sergey Plis
FAtt
AAML
190
0
0
13 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers
International Conference on Learning Representations (ICLR), 2022
Ian Covert
Chanwoo Kim
Su-In Lee
FAtt
332
57
0
10 Jun 2022
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
IEEE International Conference on Computer Vision (ICCV), 2021
Konstantin Kobs
M. Steininger
Andrzej Dulny
Andreas Hotho
196
10
0
05 May 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
International Conference on Machine Learning (ICML), 2022
Daniel Lundstrom
Tianjian Huang
Meisam Razaviyayn
FAtt
420
84
0
24 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
International Conference on Machine Learning (ICML), 2022
Yao Rong
Tobias Leemann
V. Borisov
Gjergji Kasneci
Enkelejda Kasneci
FAtt
364
132
0
01 Feb 2022
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank
Lea Schonherr
DiffM
419
196
0
04 Nov 2021
Spatio-Temporal Perturbations for Video Attribution
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
157
9
0
01 Sep 2021
Attribution of Predictive Uncertainties in Classification Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Iker Perez
Piotr Skalski
Alec E. Barns-Graham
Jason Wong
David Sutton
UQCV
356
7
0
19 Jul 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Computer Vision and Pattern Recognition (CVPR), 2021
A. Kapishnikov
Subhashini Venugopalan
Besim Avci
Benjamin D. Wedin
Michael Terry
Tolga Bolukbasi
379
142
0
17 Jun 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
IEEE International Conference on Computer Vision (ICCV), 2021
Oran Lang
Yossi Gandelsman
Michal Yarom
Yoav Wald
G. Elidan
...
William T. Freeman
Phillip Isola
Amir Globerson
Michal Irani
Inbar Mosseri
GAN
375
179
0
27 Apr 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
Qing-Long Zhang
Lu Rao
Yubin Yang
284
76
0
25 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric Distillation
IEEE International Conference on Computer Vision (ICCV), 2021
Xiaodong Chen
Xinchen Liu
Wu Liu
Xiaoping Zhang
Yongdong Zhang
Tao Mei
394
58
0
02 Mar 2021
Generating Attribution Maps with Disentangled Masked Backpropagation
IEEE International Conference on Computer Vision (ICCV), 2021
Adria Ruiz
Antonio Agudo
Francesc Moreno
FAtt
204
3
0
17 Jan 2021
A Singular Value Perspective on Model Robustness
Malhar Jere
Maghav Kumar
F. Koushanfar
AAML
246
7
0
07 Dec 2020
Explaining by Removing: A Unified Framework for Model Explanation
Journal of machine learning research (JMLR), 2020
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
509
324
0
21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
440
40
0
06 Nov 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
International Conference on Pattern Recognition (ICPR), 2020
Xiangwei Shi
Seyran Khademi
Yun-qiang Li
Jan van Gemert
VLM
WSOL
311
25
0
16 Oct 2020
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