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Xiaodan Liang

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Apr 08, 2021
Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang

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* Accepted by NAACL 2021

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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Mar 24, 2021
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

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* Our searched hybrid CNN-transformer models achieve up to 82.2% accuracy on ImageNet, surpassing EfficientNet by 2.1% with comparable compute time

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Dynamic Slimmable Network

Mar 24, 2021
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

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* Accepted to CVPR 2021 as an Oral Presentation

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A Data-Centric Framework for Composable NLP Workflows

Mar 03, 2021
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

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* 8 pages, 4 figures, EMNLP 2020

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Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search

Feb 09, 2021
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

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* Accepted by ICLR2021 Poster

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UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers

Feb 07, 2021
Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

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* 15 pages, 8 figures

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GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer

Feb 01, 2021
Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

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* The first two authors share equal-authorship; Code:https://github.com/SenZHANG-GitHub/graph-text-style-transfer ; benchmark: https://github.com/ykshi/text-style-transfer-benchmark

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