Search Results for author: Yongjie Wang

Found 10 papers, 4 papers with code

A Survey on Natural Language Counterfactual Generation

1 code implementation4 Jul 2024 Yongjie Wang, Xiaoqi Qiu, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen

Natural language counterfactual generation aims to minimally modify a given text such that the modified text will be classified into a different class.

counterfactual Fairness +1

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning

1 code implementation9 Jun 2024 Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yue Yu, Yuhong Feng, Chunyan Miao

Counterfactually Augmented Data (CAD) involves creating new data samples by applying minimal yet sufficient modifications to flip the label of existing data samples to other classes.

Contrastive Learning counterfactual

Gradient based Feature Attribution in Explainable AI: A Technical Review

no code implementations15 Mar 2024 Yongjie Wang, Tong Zhang, Xu Guo, Zhiqi Shen

Due to the lack of a rigorous definition of explainable AI (XAI), a plethora of research related to explainability, interpretability, and transparency has been developed to explain and analyze the model from various perspectives.

Autonomous Driving

Explaining Language Models' Predictions with High-Impact Concepts

no code implementations3 May 2023 Ruochen Zhao, Shafiq Joty, Yongjie Wang, Tan Wang

The emergence of large-scale pretrained language models has posed unprecedented challenges in deriving explanations of why the model has made some predictions.

Fairness Vocal Bursts Intensity Prediction

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations

no code implementations13 May 2022 Yongjie Wang, Hangwei Qian, Chunyan Miao

We then propose DualCF strategy to circumvent the above issues, which is achieved by taking not only CF but also counterfactual explanation of CF (CCF) as pairs of training samples for the substitute model.

counterfactual Counterfactual Explanation +1

Hedging longevity risk in defined contribution pension schemes

no code implementations23 Apr 2019 Ankush Agarwal, Christian-Oliver Ewald, Yongjie Wang

We transform this constrained optimal investment problem into an unconstrained problem by replicating a self-financing portfolio of future contributions from the member and the minimum guarantee provided by the scheme.

Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing

no code implementations23 Jan 2019 Jonathan Schwartz, Yi Jiang, Yongjie Wang, Anthony Aiello, Pallab Bhattacharya, Hui Yuan, Zetian Mi, Nabil Bassim, Robert Hovden

Highly-directional image artifacts such as ion mill curtaining, mechanical scratches, or image striping from beam instability degrade the interpretability of micrographs.

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