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Deep Mutual Learning

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
Federated Learning on Non-IID Data: A Survey
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
39
774
0
12 Jun 2021
BERT Learns to Teach: Knowledge Distillation with Meta Learning
BERT Learns to Teach: Knowledge Distillation with Meta Learning
Wangchunshu Zhou
Canwen Xu
Julian McAuley
36
87
0
08 Jun 2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Takashi Isobe
Xu Jia
Shuaijun Chen
Jianzhong He
Yongjie Shi
Jian-zhuo Liu
Huchuan Lu
Shengjin Wang
35
85
0
07 Jun 2021
Not All Knowledge Is Created Equal: Mutual Distillation of Confident
  Knowledge
Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge
Ziyun Li
Xinshao Wang
Diane Hu
N. Robertson
David Clifton
Christoph Meinel
Haojin Yang
9
10
0
02 Jun 2021
Multi-task fully convolutional network for tree species mapping in dense
  forests using small training hyperspectral data
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
L. E. L. Rosa
Camile Sothe
R. Feitosa
C. Almeida
M. B. Schimalski
Dario Augusto Borges Oliveira
18
42
0
01 Jun 2021
Improving Tree-Structured Decoder Training for Code Generation via
  Mutual Learning
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
Binbin Xie
Jinsong Su
Yubin Ge
Xiang-Yang Li
Jianwei Cui
Junfeng Yao
Bin Wang
16
27
0
31 May 2021
Deep Domain Generalization with Feature-norm Network
Deep Domain Generalization with Feature-norm Network
Mohammad Mahfujur Rahman
Clinton Fookes
Sridha Sridharan
OOD
25
3
0
28 Apr 2021
Interpretable Embedding Procedure Knowledge Transfer via Stacked
  Principal Component Analysis and Graph Neural Network
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
Seunghyun Lee
B. Song
21
6
0
28 Apr 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet
  Classification
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
Yixiao Ge
Xiao Zhang
Ching Lam Choi
Ka Chun Cheung
Peipei Zhao
Feng Zhu
Xiaogang Wang
Rui Zhao
Hongsheng Li
FedML
UQCV
146
25
0
27 Apr 2021
Mutual Contrastive Learning for Visual Representation Learning
Mutual Contrastive Learning for Visual Representation Learning
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
VLM
SSL
108
75
0
26 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised
  learning
Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Shivaram Bhat
Elahe Arani
Bahram Zonooz
SSL
27
28
0
20 Apr 2021
Annealing Knowledge Distillation
Annealing Knowledge Distillation
A. Jafari
Mehdi Rezagholizadeh
Pranav Sharma
A. Ghodsi
23
77
0
14 Apr 2021
Pose Invariant Person Re-Identification using Robust Pose-transformation
  GAN
Pose Invariant Person Re-Identification using Robust Pose-transformation GAN
Arnab Karmakar
Deepak Mishra
24
4
0
11 Apr 2021
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D
  Pretraining
Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining
Yueh-Cheng Liu
Yu-Kai Huang
HungYueh Chiang
Hung-Ting Su
Zhe-Yu Liu
Chin-Tang Chen
Ching-Yu Tseng
Winston H. Hsu
3DPC
25
35
0
10 Apr 2021
MRI-based Alzheimer's disease prediction via distilling the knowledge in
  multi-modal data
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data
Hao Guan
Chaoyue Wang
Dacheng Tao
24
30
0
08 Apr 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal
  Person Re-Identification
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
Xudong Tian
Zhizhong Zhang
Shaohui Lin
Yanyun Qu
Yuan Xie
Lizhuang Ma
27
109
0
07 Apr 2021
Weakly supervised segmentation with cross-modality equivariant
  constraints
Weakly supervised segmentation with cross-modality equivariant constraints
Gaurav Patel
Jose Dolz
SSL
40
47
0
06 Apr 2021
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up
  Human Pose Estimation
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
Jiabin Zhang
Zheng Zhu
Jiwen Lu
Junjie Huang
Guan Huang
Jie Zhou
3DH
36
14
0
06 Apr 2021
Model Compression for Dynamic Forecast Combination
Model Compression for Dynamic Forecast Combination
Vítor Cerqueira
Luís Torgo
Carlos Soares
Albert Bifet
AI4TS
AI4CE
23
4
0
05 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
26
29
0
01 Apr 2021
Decentralized and Model-Free Federated Learning: Consensus-Based
  Distillation in Function Space
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Akihito Taya
Takayuki Nishio
M. Morikura
Koji Yamamoto
FedML
31
20
0
01 Apr 2021
Unsupervised Domain Expansion for Visual Categorization
Unsupervised Domain Expansion for Visual Categorization
Jie Wang
Kaibin Tian
Dayong Ding
Gang Yang
Xirong Li
12
8
0
01 Apr 2021
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in
  Scene Segmentation
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
Zhedong Zheng
Yi Yang
25
29
0
29 Mar 2021
Cloth-Changing Person Re-identification from A Single Image with Gait
  Prediction and Regularization
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Xin Jin
Tianyu He
Kecheng Zheng
Zhiheng Yin
Xu Shen
Zhen Huang
Ruoyu Feng
Jianqiang Huang
Xiansheng Hua
Zhibo Chen
CVBM
24
126
0
29 Mar 2021
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph
  for Fine-grained Object Classification
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification
Naoki Okamoto
Soma Minami
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
FedML
21
2
0
27 Mar 2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Distilling a Powerful Student Model via Online Knowledge Distillation
Shaojie Li
Mingbao Lin
Yan Wang
Yongjian Wu
Yonghong Tian
Ling Shao
Rongrong Ji
FedML
29
47
0
26 Mar 2021
Adversarial Imitation Learning with Trajectorial Augmentation and
  Correction
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Dafni Antotsiou
C. Ciliberto
Tae-Kyun Kim
27
10
0
25 Mar 2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for
  Single Depth Super-Resolution
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Baoli Sun
Xinchen Ye
Baopu Li
Haojie Li
Zhihui Wang
Rui Xu
11
45
0
24 Mar 2021
Student Network Learning via Evolutionary Knowledge Distillation
Student Network Learning via Evolutionary Knowledge Distillation
Kangkai Zhang
Chunhui Zhang
Shikun Li
Dan Zeng
Shiming Ge
24
83
0
23 Mar 2021
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Shiyu Xuan
Shiliang Zhang
43
173
0
22 Mar 2021
Self-Supervised Adaptation for Video Super-Resolution
Self-Supervised Adaptation for Video Super-Resolution
Jinsu Yoo
Tae Hyun Kim
22
1
0
18 Mar 2021
Modulating Localization and Classification for Harmonized Object
  Detection
Modulating Localization and Classification for Harmonized Object Detection
Taiheng Zhang
Qiaoyong Zhong
Shiliang Pu
Di Xie
ObjD
28
1
0
16 Mar 2021
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge
  Distillation
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
Mingi Ji
Seungjae Shin
Seunghyun Hwang
Gibeom Park
Il-Chul Moon
13
120
0
15 Mar 2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
Yichi Zhang
Jicong Zhang
SSL
38
38
0
08 Mar 2021
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Yuang Liu
Wei Zhang
Jun Wang
28
157
0
06 Mar 2021
Semi-supervised Left Atrium Segmentation with Mutual Consistency
  Training
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu
Minfeng Xu
Z. Ge
Jianfei Cai
Lei Zhang
18
207
0
04 Mar 2021
Improved Techniques for Quantizing Deep Networks with Adaptive
  Bit-Widths
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths
Ximeng Sun
Yikang Shen
Chun-Fu Chen
Naigang Wang
Bowen Pan
Bowen Pan Kailash Gopalakrishnan
A. Oliva
Rogerio Feris
Kate Saenko
MQ
27
4
0
02 Mar 2021
Distilling Knowledge via Intermediate Classifiers
Distilling Knowledge via Intermediate Classifiers
Aryan Asadian
Amirali Salehi-Abari
38
1
0
28 Feb 2021
Siamese Labels Auxiliary Learning
Siamese Labels Auxiliary Learning
Wenrui Gan
Zhulin Liu
Chong Chen
Tong Zhang
25
1
0
27 Feb 2021
Multi-View Feature Representation for Dialogue Generation with
  Bidirectional Distillation
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
Shaoxiong Feng
Xuancheng Ren
Kan Li
Xu Sun
24
11
0
22 Feb 2021
Synthesizing Irreproducibility in Deep Networks
Synthesizing Irreproducibility in Deep Networks
R. Snapp
G. Shamir
OOD
30
10
0
21 Feb 2021
End-to-End Automatic Speech Recognition with Deep Mutual Learning
End-to-End Automatic Speech Recognition with Deep Mutual Learning
Ryo Masumura
Mana Ihori
Akihiko Takashima
Tomohiro Tanaka
Takanori Ashihara
27
5
0
16 Feb 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Learning Student-Friendly Teacher Networks for Knowledge Distillation
D. Park
Moonsu Cha
C. Jeong
Daesin Kim
Bohyung Han
121
101
0
12 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn
Locally Adaptive Label Smoothing for Predictive Churn
Dara Bahri
Heinrich Jiang
NoLa
43
8
0
09 Feb 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News
  Application
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
Chuhan Wu
Fangzhao Wu
Yang Yu
Tao Qi
Yongfeng Huang
Qi Liu
VLM
19
44
0
09 Feb 2021
On the Reproducibility of Neural Network Predictions
On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli
Kimberly Wilber
Andreas Veit
A. S. Rawat
Seungyeon Kim
A. Menon
Sanjiv Kumar
29
35
0
05 Feb 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li
Wei Zhou
Huaimin Wang
Haibo Mi
Timothy M. Hospedales
FedML
68
29
0
27 Jan 2021
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer
Liyuan Sun
Jianping Gou
Baosheng Yu
Lan Du
Dacheng Tao
28
11
0
21 Jan 2021
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
M. Jaritz
Tuan-Hung Vu
Raoul de Charette
É. Wirbel
P. Pérez
3DPC
13
47
0
18 Jan 2021
Unsupervised Noisy Tracklet Person Re-identification
Unsupervised Noisy Tracklet Person Re-identification
Minxian Li
Xiatian Zhu
S. Gong
21
1
0
16 Jan 2021
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