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Improving Prototypical Visual Explanations with Reward Reweighing,
  Reselection, and Retraining

Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining

8 July 2023
Aaron J. Li
Robin Netzorg
Zhihan Cheng
Zhuoqin Zhang
Bin Yu
ArXivPDFHTML

Papers citing "Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining"

4 / 4 papers shown
Title
Hierarchical Shrinkage: improving the accuracy and interpretability of
  tree-based methods
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods
Abhineet Agarwal
Yan Shuo Tan
Omer Ronen
Chandan Singh
Bin-Xia Yu
63
27
0
02 Feb 2022
Self-Interpretable Model with TransformationEquivariant Interpretation
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
24
23
0
09 Nov 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,561
0
18 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
1