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Gradient-based Bi-level Optimization for Deep Learning: A Survey


Aug 04, 2022
Can, Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu

* AI4Science; Bi-level Optimization; Hyperparameter Optimization; Meta Learning; Implicit Function 

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Brain-Aware Replacements for Supervised Contrastive Learning


Jul 11, 2022
Mehmet Saygın Seyfioğlu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas Grabowski, Linda Shapiro

* MICCAI 2022 

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CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning


Nov 23, 2021
Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han

* 19 Pages, 9 figures, conference paper 

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GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering


Apr 20, 2021
Weixin Liang, Yanhao Jiang, Zixuan Liu

* NAACL 2021 MAI-Workshop. Code available at https://github.com/codexxxl/GraphVQA 

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Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models


Feb 16, 2021
Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao


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LSSL: Longitudinal Self-Supervised Learning


Jun 12, 2020
Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl


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DAWSON: A Domain Adaptive Few Shot Generation Framework


Jan 02, 2020
Weixin Liang, Zixuan Liu, Can Liu


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