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NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization


Sep 05, 2021
Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by ICCV2021 

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Adversarial Robustness for Unsupervised Domain Adaptation


Sep 02, 2021
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li

* Accepted by ICCV 2021 

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MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving


Aug 27, 2021
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

* Accepted by ICCV 2021 

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G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation


Aug 20, 2021
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

* Accepted by ICCV2021 

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Towards Understanding the Generative Capability of Adversarially Robust Classifiers


Aug 20, 2021
Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li

* Accepted by ICCV 2021, Oral 

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NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models


Aug 07, 2021
Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li

* Accepted by ICCV 2021 

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AutoBERT-Zero: Evolving BERT Backbone from Scratch


Jul 15, 2021
Jiahui Gao, Hang Xu, Han shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

* 9 pages 

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SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving


Jun 22, 2021
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu


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One Million Scenes for Autonomous Driving: ONCE Dataset


Jun 21, 2021
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu


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Contextualizing Multiple Tasks via Learning to Decompose


Jun 15, 2021
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan


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Towards a Theoretical Framework of Out-of-Distribution Generalization


Jun 13, 2021
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang


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OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms


Jun 07, 2021
Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li


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Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation


May 27, 2021
Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang

* Accepted by CVPR 2021 

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TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search


May 25, 2021
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

* Published at CVPR 2021. 8 pages main paper, 13 pages in total 

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BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening


May 13, 2021
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo

* 19 pages, 7 figures, 6 tables 

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How Well Self-Supervised Pre-Training Performs with Streaming Data?


Apr 25, 2021
Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng

* 16 pages; 16figures 

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Unsupervised Pretraining for Object Detection by Patch Reidentification


Mar 08, 2021
Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia


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SparseBERT: Rethinking the Importance Analysis in Self-attention


Feb 25, 2021
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok


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DetCo: Unsupervised Contrastive Learning for Object Detection


Feb 09, 2021
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo


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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

* Accepted by ICLR2021 Poster 

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Out-of-Distribution Generalization Analysis via Influence Function


Jan 21, 2021
Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li


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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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