Timezone: »
Many attempts have been done to extend the great success of convolutional neural networks (CNNs) achieved on high-end GPU servers to portable devices such as smart phones. Providing compression and acceleration service of deep learning models on the cloud is therefore of significance and is attractive for end users. However, existing network compression and acceleration approaches usually fine-tuning the svelte model by requesting the entire original training data (e.g. ImageNet), which could be more cumbersome than the network itself and cannot be easily uploaded to the cloud. In this paper, we present a novel positive-unlabeled (PU) setting for addressing this problem. In practice, only a small portion of the original training set is required as positive examples and more useful training examples can be obtained from the massive unlabeled data on the cloud through a PU classifier with an attention based multi-scale feature extractor. We further introduce a robust knowledge distillation (RKD) scheme to deal with the class imbalance problem of these newly augmented training examples. The superiority of the proposed method is verified through experiments conducted on the benchmark models and datasets. We can use only 8% of uniformly selected data from the ImageNet to obtain an efficient model with comparable performance to the baseline ResNet-34.
Author Information
Yixing Xu (Huawei Noah's Ark Lab)
Yunhe Wang (Huawei Noah's Ark Lab)
Hanting Chen (Peking University)
Kai Han (Huawei Noah's Ark Lab)
Chunjing XU (Huawei Technologies)
Dacheng Tao (University of Sydney)
Chang Xu (University of Sydney)
More from the Same Authors
-
2020 Meetup: MeetUp: Sydney Australia »
Chang Xu -
2021 : One Million Scenes for Autonomous Driving: ONCE Dataset »
Jiageng Mao · Niu Minzhe · ChenHan Jiang · hanxue liang · Jingheng Chen · Xiaodan Liang · Yamin Li · Chaoqiang Ye · Wei Zhang · Zhenguo Li · Jie Yu · Hang Xu · Chunjing XU -
2021 Spotlight: SOFT: Softmax-free Transformer with Linear Complexity »
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang -
2021 : SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving »
Jianhua Han · Xiwen Liang · Hang Xu · Kai Chen · Lanqing Hong · Jiageng Mao · Chaoqiang Ye · Wei Zhang · Zhenguo Li · Xiaodan Liang · Chunjing XU -
2021 Meetup: Sydney, Australia »
Chang Xu -
2021 Poster: SOFT: Softmax-free Transformer with Linear Complexity »
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang -
2021 Poster: Adder Attention for Vision Transformer »
Han Shu · Jiahao Wang · Hanting Chen · Lin Li · Yujiu Yang · Yunhe Wang -
2021 Poster: Dynamic Resolution Network »
Mingjian Zhu · Kai Han · Enhua Wu · Qiulin Zhang · Ying Nie · Zhenzhong Lan · Yunhe Wang -
2021 Poster: Post-Training Quantization for Vision Transformer »
Zhenhua Liu · Yunhe Wang · Kai Han · Wei Zhang · Siwei Ma · Wen Gao -
2021 Poster: Handling Long-tailed Feature Distribution in AdderNets »
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu -
2021 Poster: Towards Stable and Robust AdderNets »
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu -
2021 Poster: Transformer in Transformer »
Kai Han · An Xiao · Enhua Wu · Jianyuan Guo · Chunjing XU · Yunhe Wang -
2021 Poster: An Empirical Study of Adder Neural Networks for Object Detection »
Xinghao Chen · Chang Xu · Minjing Dong · Chunjing XU · Yunhe Wang -
2021 Poster: Neural Architecture Dilation for Adversarial Robustness »
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu -
2021 Poster: Learning Frequency Domain Approximation for Binary Neural Networks »
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang -
2021 Poster: Augmented Shortcuts for Vision Transformers »
Yehui Tang · Kai Han · Chang Xu · An Xiao · Yiping Deng · Chao Xu · Yunhe Wang -
2021 Poster: S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks »
Xinlin Li · Bang Liu · Yaoliang Yu · Wulong Liu · Chunjing XU · Vahid Partovi Nia -
2021 Oral: Learning Frequency Domain Approximation for Binary Neural Networks »
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang -
2020 Poster: SCOP: Scientific Control for Reliable Neural Network Pruning »
Yehui Tang · Yunhe Wang · Yixing Xu · Dacheng Tao · Chunjing XU · Chao Xu · Chang Xu -
2020 Poster: Kernel Based Progressive Distillation for Adder Neural Networks »
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang -
2020 Poster: Part-dependent Label Noise: Towards Instance-dependent Label Noise »
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama -
2020 Poster: Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets »
Kai Han · Yunhe Wang · Qiulin Zhang · Wei Zhang · Chunjing XU · Tong Zhang -
2020 Poster: Adapting Neural Architectures Between Domains »
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu -
2020 Poster: Auto Learning Attention »
Benteng Ma · Jing Zhang · Yong Xia · Dacheng Tao -
2020 Spotlight: Part-dependent Label Noise: Towards Instance-dependent Label Noise »
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama -
2020 Spotlight: Kernel Based Progressive Distillation for Adder Neural Networks »
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang -
2020 Poster: Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts »
Guilin Li · Junlei Zhang · Yunhe Wang · Chuanjian Liu · Matthias Tan · Yunfeng Lin · Wei Zhang · Jiashi Feng · Tong Zhang -
2020 Poster: UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging »
Chu Zhou · Hang Zhao · Jin Han · Chang Xu · Chao Xu · Tiejun Huang · Boxin Shi -
2020 Poster: Searching for Low-Bit Weights in Quantized Neural Networks »
Zhaohui Yang · Yunhe Wang · Kai Han · Chunjing XU · Chao Xu · Dacheng Tao · Chang Xu -
2020 Poster: Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning »
Huan Fu · Shunming Li · Rongfei Jia · Mingming Gong · Binqiang Zhao · Dacheng Tao -
2020 Poster: Video Frame Interpolation without Temporal Priors »
Youjian Zhang · Chaoyue Wang · Dacheng Tao -
2020 Poster: Domain Generalization via Entropy Regularization »
Shanshan Zhao · Mingming Gong · Tongliang Liu · Huan Fu · Dacheng Tao -
2019 Poster: Theoretical Analysis of Adversarial Learning: A Minimax Approach »
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao -
2019 Spotlight: Theoretical Analysis of Adversarial Learning: A Minimax Approach »
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao -
2019 Poster: Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation »
Qiming ZHANG · Jing Zhang · Wei Liu · Dacheng Tao -
2019 Poster: LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning »
Yali Du · Lei Han · Meng Fang · Ji Liu · Tianhong Dai · Dacheng Tao -
2019 Poster: Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge »
Tingting Qiao · Jing Zhang · Duanqing Xu · Dacheng Tao -
2019 Poster: Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence »
Fengxiang He · Tongliang Liu · Dacheng Tao -
2019 Poster: Learning from Bad Data via Generation »
Tianyu Guo · Chang Xu · Boxin Shi · Chao Xu · Dacheng Tao -
2019 Poster: Likelihood-Free Overcomplete ICA and Applications In Causal Discovery »
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao -
2019 Spotlight: Likelihood-Free Overcomplete ICA and Applications In Causal Discovery »
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao -
2018 Poster: Dual Swap Disentangling »
Zunlei Feng · Xinchao Wang · Chenglong Ke · An-Xiang Zeng · Dacheng Tao · Mingli Song -
2018 Poster: Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN »
Shupeng Su · Chao Zhang · Kai Han · Yonghong Tian -
2018 Poster: Learning Versatile Filters for Efficient Convolutional Neural Networks »
Yunhe Wang · Chang Xu · Chunjing XU · Chao Xu · Dacheng Tao -
2016 Poster: CNNpack: Packing Convolutional Neural Networks in the Frequency Domain »
Yunhe Wang · Chang Xu · Shan You · Dacheng Tao · Chao Xu