Deep Mutual Learning

1 June 2017

Ying Zhang

Tao Xiang

Timothy M. Hospedales

Huchuan Lu

FedML

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Papers citing "Deep Mutual Learning"

50 / 710 papers shown

Title
Learning to Learn Parameterized Classification Networks for Scalable Input Images Duo Li Anbang Yao Qifeng Chen 22 11 0 13 Jul 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection Cong Chen Shouyang Dong Ye Tian K. Cao Li Liu Yuanhao Guo 33 28 0 13 Jul 2020
Knowledge Distillation Beyond Model Compression F. Sarfraz Elahe Arani Bahram Zonooz 38 40 0 03 Jul 2020
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification Yunpeng Zhai QiXiang Ye Shijian Lu Mengxi Jia Rongrong Ji Yonghong Tian 18 163 0 03 Jul 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization Rie Johnson Tong Zhang 6 8 0 30 Jun 2020
On the Demystification of Knowledge Distillation: A Residual Network Perspective N. Jha Rajat Saini Sparsh Mittal 18 4 0 30 Jun 2020
Federated Mutual Learning T. Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Fei Wu Chao-Xiang Wu FedML 25 120 0 27 Jun 2020
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation Xinyue Huo Lingxi Xie Jianzhong He Zijie Yang Qi Tian 28 0 0 24 Jun 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen Wuyang Chen Tianlong Chen Ye Yuan Chen Gong Kewei Chen Zhangyang Wang 28 77 0 22 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 33 7 0 20 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 34 76 0 12 Jun 2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond Wenhao Wang Fang Zhao Tianran Ouyang Ling Shao 24 49 0 11 Jun 2020
Adjoined Networks: A Training Paradigm with Applications to Network Compression Utkarsh Nath Shrinu Kushagra Yingzhen Yang 32 2 0 10 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 31 2,857 0 09 Jun 2020
ResKD: Residual-Guided Knowledge Distillation Xuewei Li Songyuan Li Bourahla Omar Fei Wu Xi Li 31 47 0 08 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 22 128 0 07 Jun 2020
Multi-view Contrastive Learning for Online Knowledge Distillation Chuanguang Yang Zhulin An Yongjun Xu 27 23 0 07 Jun 2020
Image Classification in the Dark using Quanta Image Sensors Abhiram Gnanasambandam Stanley H. Chan VLM 34 36 0 03 Jun 2020
Grafted network for person re-identification Jiabao Wang Yang Li Shanshan Jiao Zhuang Miao Rui Zhang 21 6 0 02 Jun 2020
On Vocabulary Reliance in Scene Text Recognition Zhaoyi Wan Jielei Zhang Liang Zhang Jiebo Luo Cong Yao 27 56 0 08 May 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 60 0 07 May 2020
Heterogeneous Knowledge Distillation using Information Flow Modeling Nikolaos Passalis Maria Tzelepi Anastasios Tefas 32 138 0 02 May 2020
Role-Wise Data Augmentation for Knowledge Distillation Jie Fu Xue Geng Zhijian Duan Bohan Zhuang Xingdi Yuan Adam Trischler Jie Lin C. Pal Hao Dong 27 15 0 19 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 37 884 0 15 Apr 2020
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition Thanh-Dat Truong C. Duong Kha Gia Quach Ngan Le Tien D. Bui Khoa Luu CVBM 22 8 0 09 Apr 2020
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention Juan-Manuel Perez-Rua Brais Martínez Xiatian Zhu Antoine Toisoul Victor Escorcia Tao Xiang 53 19 0 02 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 21 39 0 01 Apr 2020
Mutual Learning Network for Multi-Source Domain Adaptation Zhenpeng Li Z. Zhao Yuhong Guo Haifeng Shen Jieping Ye OOD 25 12 0 29 Mar 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 27 16 0 27 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 29 62 0 25 Mar 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 153 19 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 0 23 Mar 2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo Jian Chen Jingdong Wang Qi Chen Jingyun Liang Zeshuai Deng Yanwu Xu Mingkui Tan SupR 26 281 0 16 Mar 2020
Knowledge distillation via adaptive instance normalization Jing Yang Brais Martínez Adrian Bulat Georgios Tzimiropoulos 21 23 0 09 Mar 2020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation Dongliang Chang Aneeshan Sain Zhanyu Ma Yi-Zhe Song Jun Guo 12 5 0 08 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 501 0 05 Mar 2020
Unity Style Transfer for Person Re-Identification C. Liu Xiaojun Chang Yi-Dong Shen 49 72 0 04 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 52 6 0 03 Mar 2020
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification Xing Fan Hao Luo Chi Zhang Wei Jiang 25 17 0 29 Feb 2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? Xiang Deng Zhongfei Zhang AI4CE 22 5 0 27 Feb 2020
Multi-Representation Knowledge Distillation For Audio Classification Liang Gao Kele Xu Huaimin Wang Yuxing Peng 67 25 0 22 Feb 2020
Multilinear Compressive Learning with Prior Knowledge D. Tran Moncef Gabbouj Alexandros Iosifidis 9 7 0 17 Feb 2020
Improving Face Recognition from Hard Samples via Distribution Distillation Loss Yanhua Huang Pengcheng Shen Ying Tai Shaoxin Li Xiaoming Liu Jilin Li Feiyue Huang Rongrong Ji CVBM 42 1 0 10 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 84 275 0 09 Feb 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection Nir Shlezinger Rong Fu Yonina C. Eldar 50 102 0 08 Feb 2020
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach Zeyue Xue Shuang Luo Chao-Xiang Wu Pan Zhou Kaigui Bian Wei Du 16 4 0 06 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 33 128 0 05 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 27 29 0 03 Feb 2020
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning Zhang-Wei Hong P. Nagarajan Guilherme J. Maeda OffRL 23 4 0 01 Feb 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning Qian Xue Wei Zhang H. Zha 32 39 0 01 Feb 2020