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
Practical Edge Detection via Robust Collaborative Learning Yuanbin Fu Xiaojie Guo 30 9 0 27 Aug 2023
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 41 20 0 27 Aug 2023
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion Duo Peng Qiuhong Ke Yinjie Lei Jing Liu DiffM 29 12 0 26 Aug 2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation Yizhe Zhang Tao Zhou Shuo Wang Ye Wu Pengfei Gu Da Chen 38 10 0 26 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification Ziqi Yang Zhongyu Li Chen Liu Xiangde Luo Xingguang Wang Dou Xu Chao-Ting Li Xiaoying Qin Meng Yang Long Jin 40 0 0 24 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 35 11 0 19 Aug 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang Xingyi Yang Suhan Cui Liwei Che Lingjuan Lyu Dongkuan Xu Fenglong Ma FedML 20 45 0 16 Aug 2023
Multi-Label Knowledge Distillation Penghui Yang Ming-Kun Xie Chen-Chen Zong Lei Feng Gang Niu Masashi Sugiyama Sheng-Jun Huang 41 10 0 12 Aug 2023
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR Chunpeng Zhou Kang Ning Haishuai Wang Zhi Yu Sheng Zhou Jiajun Bu 27 1 0 09 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 26 16 0 08 Aug 2023
R-Block: Regularized Block of Dropout for convolutional networks Liqi Wang Qiyang Hu 14 0 0 27 Jul 2023
Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection S. M. Marvasti-Zadeh Nilanjan Ray Nadir Erbilgin 29 1 0 25 Jul 2023
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation Yiqing Wang Zihan Li Jieru Mei Zi-Ying Wei Li Liu Chen Wang Shengtian Sang Alan Yuille Cihang Xie Yuyin Zhou ViT MedIm 20 31 0 24 Jul 2023
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation Jinjing Zhu Yuan Luo Xueye Zheng Hao Wang Lin Wang 25 33 0 24 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 39 4 0 13 Jul 2023
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework Chao Wang Zhenghang Tang 38 1 0 11 Jul 2023
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation Yexin Liu Weiming Zhang Guoyang Zhao Jinjing Zhu Athanasios V. Vasilakos Lin Wang TTA 23 3 0 10 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs F. Sarfraz Elahe Arani Bahram Zonooz 27 1 0 30 Jun 2023
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning H. Sahbi 28 0 0 30 Jun 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Zichang Tan Jun Yu Li Jinhao Du Jun Wan Zhen Lei Guodong Guo VLM 35 21 0 29 Jun 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 61 23 0 26 Jun 2023
Efficient Online Processing with Deep Neural Networks Lukas Hedegaard 31 0 0 23 Jun 2023
CrossKD: Cross-Head Knowledge Distillation for Object Detection Jiabao Wang Yuming Chen Zhaohui Zheng Xiang Li Ming-Ming Cheng Qibin Hou 51 33 0 20 Jun 2023
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation Chuanguang Yang Xinqiang Yu Zhulin An Yongjun Xu VLM OffRL 96 23 0 19 Jun 2023
EM-Network: Oracle Guided Self-distillation for Sequence Learning J. Yoon Sunghwan Ahn Hyeon Seung Lee Minchan Kim Seokhwan Kim N. Kim VLM 40 2 0 14 Jun 2023
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification Yunpeng Zhai Peixi Peng Mengxi Jia Shiyong Li Weiqiang Chen Xuesong Gao Yonghong Tian 33 14 0 08 Jun 2023
Optimal Transport Model Distributional Robustness Van-Anh Nguyen Trung Le Anh Tuan Bui Thanh-Toan Do Dinh Q. Phung OOD 34 3 0 07 Jun 2023
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson Tong Zhang 11 5 0 31 May 2023
Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning H. Sahbi 23 0 0 30 May 2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction Reza Shirkavand Liang Zhan Heng-Chiao Huang Li Shen Paul M. Thompson 19 3 0 25 May 2023
Triplet Knowledge Distillation Xijun Wang Dongyang Liu Meina Kan Chunrui Han Zhongqin Wu Shiguang Shan 42 3 0 25 May 2023
Towards Higher Pareto Frontier in Multilingual Machine Translation Yi-Chong Huang Xiaocheng Feng Xinwei Geng Baohang Li Bing Qin 43 9 0 25 May 2023
Disentangled Phonetic Representation for Chinese Spelling Correction Zihong Liang Xiaojun Quan Qifan Wang 20 17 0 24 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 41 38 0 23 May 2023
NORM: Knowledge Distillation via N-to-One Representation Matching Xiaolong Liu Lujun Li Chao Li Anbang Yao 55 68 0 23 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 34 19 0 22 May 2023
Self-Distillation with Meta Learning for Knowledge Graph Completion Yunshui Li Junhao Liu Chengming Li Min Yang 29 5 0 20 May 2023
Privacy in Multimodal Federated Human Activity Recognition Alexandru Iacob Pedro Gusmão Nicholas D. Lane Armand K. Koupai M. J. Bocus Raúl Santos-Rodríguez Robert Piechocki Ryan McConville 23 1 0 20 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Weifeng Jiang Qianren Mao Chenghua Lin Jianxin Li Ting Deng Weiyi Yang Zihan Wang 18 2 0 20 May 2023
Student-friendly Knowledge Distillation Mengyang Yuan Bo Lang Fengnan Quan 22 17 0 18 May 2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation Yuxin Ren Zi-Qi Zhong Xingjian Shi Yi Zhu Chun Yuan Mu Li 29 7 0 16 May 2023
GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong Joonsang Yu Geondo Park Dongyoon Han Y. Yoo 30 4 0 15 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Chong Chen Xinrong Gong Tong Zhang 40 10 0 12 May 2023
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification Souhail Bakkali Zuheng Ming Mickael Coustaty Marçal Rusiñol 10 6 0 11 May 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation Sheng Wan Dashan Gao Hanlin Gu Daning Hu FedML 16 7 0 09 May 2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing Songling Zhu Ronghua Shang Bo Yuan Weitong Zhang Yangyang Li Licheng Jiao 35 7 0 09 May 2023
Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving Siyu Li Kailun Yang Haowen Shi Jiaming Zhang Jiacheng Lin Zhifeng Teng Zhiyong Li 34 14 0 07 May 2023
Smaller3d: Smaller Models for 3D Semantic Segmentation Using Minkowski Engine and Knowledge Distillation Methods Alen Adamyan Erik Harutyunyan 3DPC 21 2 0 04 May 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks XinYu Piao Tong He DoangJoo Synn Baopu Li Tao Chen Lei Bai Jong-Kook Kim 52 4 0 04 May 2023