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2401.08552
Cited By
Explaining Time Series via Contrastive and Locally Sparse Perturbations
16 January 2024
Zichuan Liu
Yingying Zhang
Tianchun Wang
Zefan Wang
Dongsheng Luo
Mengnan Du
Min Wu
Yi Wang
Chunlin Chen
Lunting Fan
Qingsong Wen
Re-assign community
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Papers citing
"Explaining Time Series via Contrastive and Locally Sparse Perturbations"
14 / 14 papers shown
Title
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Owen Queen
Thomas Hartvigsen
Teddy Koker
Huan He
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
47
19
0
03 Jun 2023
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
37
53
0
29 Nov 2021
Explaining Time Series Predictions with Dynamic Masks
Jonathan Crabbé
M. Schaar
FAtt
AI4TS
45
80
0
09 Jun 2021
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento
Pedro Saleiro
André F. Cruz
Mário A. T. Figueiredo
P. Bizarro
FAtt
AI4TS
37
88
0
30 Nov 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
Ahmed Alqaraawi
M. Schuessler
Philipp Weiß
Enrico Costanza
N. Bianchi-Berthouze
AAML
FAtt
XAI
54
199
0
03 Feb 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
87
1,427
0
17 Jul 2019
Counterfactual Visual Explanations
Yash Goyal
Ziyan Wu
Jan Ernst
Dhruv Batra
Devi Parikh
Stefan Lee
CML
64
510
0
16 Apr 2019
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
651
21,613
0
22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
55
1,514
0
11 Apr 2017
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
134
3,848
0
10 Apr 2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
142
5,920
0
04 Mar 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
78
1,702
0
10 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
681
16,828
0
16 Feb 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
292
13,079
0
12 Mar 2015
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