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Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration


Sep 23, 2022
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho


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Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation


Sep 04, 2022
Yu-Jen Chen, Wei-Hsiang Shen, Hao-Wei Chung, Jing-Hao Chiu, Da-Cheng Juan, Tsung-Ying Ho, Chi-Tung Cheng, Meng-Lin Li, Tsung-Yi Ho


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CARBEN: Composite Adversarial Robustness Benchmark


Jul 16, 2022
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

* IJCAI 2022 Demo Track; The demonstration is at https://hsiung.cc/CARBEN/ 

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Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations


Feb 09, 2022
Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho


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"One-Shot" Reduction of Additive Artifacts in Medical Images


Oct 23, 2021
Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, Jian Zhuang


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Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective


Nov 04, 2020
Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang


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Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources


Jul 29, 2020
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho


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