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Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation

Jan 05, 2021
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu


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ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

Jan 02, 2021
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu


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MetaAugment: Sample-Aware Data Augmentation Policy Learning

Dec 22, 2020
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

* Accepted by AAAI2021 

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DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

Dec 17, 2020
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by AAAI2021 

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AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction

Dec 16, 2020
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He

* 8 pages 

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Batch Group Normalization

Dec 09, 2020
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro Esperanca, Guang-Zhong Yang, Zhenguo Li

* 8 pages 

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Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation

Dec 07, 2020
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

* Accepted by AAAI2021 

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MOFA: Modular Factorial Design for Hyperparameter Optimization

Nov 18, 2020
Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li

* 15 pages, 5 figures 

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VEGA: Towards an End-to-End Configurable AutoML Pipeline

Nov 05, 2020
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang

* AutoML pipeline. Code is open-sourced at https://github.com/huawei-noah/vega 

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Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks

Sep 03, 2020
Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong


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CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending

Jul 23, 2020
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li

* Accepted by ECCV2020 

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CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search

Jul 22, 2020
Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

* Published at ECCV2020 

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AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling

Jul 18, 2020
Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li

* Accepted by ECCV 2020 (spotlight) 

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An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization

Jul 11, 2020
Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang


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Decoder-free Robustness Disentanglement without (Additional) Supervision

Jul 02, 2020
Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang


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New Interpretations of Normalization Methods in Deep Learning

Jun 16, 2020
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

* Accepted by AAAI 2020 

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Risk Variance Penalization: From Distributional Robustness to Causality

Jun 13, 2020
Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li


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Locally Differentially Private (Contextual) Bandits Learning

Jun 01, 2020
Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

* 19 pages 

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Boosting Few-Shot Learning With Adaptive Margin Loss

May 28, 2020
Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang

* Accepted by CVPR 2020 

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Rethinking Performance Estimation in Neural Architecture Search

May 20, 2020
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian


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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Mar 26, 2020
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu


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EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement

Feb 18, 2020
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li

* Accepted by AAAI20 

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Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN

Feb 18, 2020
Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li

* Accepted by AAAI20 

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MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection

Feb 13, 2020
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li


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Multi-objective Neural Architecture Search via Non-stationary Policy Gradient

Jan 31, 2020
Zewei Chen, Fengwei Zhou, George Trimponias, Zhenguo Li


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Meta-Learning PAC-Bayes Priors in Model Averaging

Dec 25, 2019
Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

* Accepted by AAAI 2020 

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