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TimeX++: Learning Time-Series Explanations with Information Bottleneck

TimeX++: Learning Time-Series Explanations with Information Bottleneck

15 May 2024
Zichuan Liu
Tianchun Wang
Jimeng Shi
Xu Zheng
Zhuomin Chen
Lei Song
Wenqian Dong
J. Obeysekera
Farhad Shirani
Dongsheng Luo
    AI4TS
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Papers citing "TimeX++: Learning Time-Series Explanations with Information Bottleneck"

6 / 6 papers shown
Title
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng
Farhad Shirani
Zhuomin Chen
Chaohao Lin
Wei Cheng
Wenbo Guo
Dongsheng Luo
AAML
28
0
0
03 Oct 2024
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting
  and Fine-tuning
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Jimeng Shi
Azam Shirali
Giri Narasimhan
AI4TS
28
0
0
21 Sep 2024
Protecting Your LLMs with Information Bottleneck
Protecting Your LLMs with Information Bottleneck
Zichuan Liu
Zefan Wang
Linjie Xu
Jinyu Wang
Lei Song
Tianchun Wang
Chunlin Chen
Wei Cheng
Jiang Bian
KELM
AAML
45
15
0
22 Apr 2024
CoRTX: Contrastive Framework for Real-time Explanation
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Xia Hu
39
17
0
05 Mar 2023
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
129
654
0
28 Dec 2020
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
88
222
0
24 Oct 2020
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