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1805.11761
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Collaborative Learning for Deep Neural Networks
30 May 2018
Guocong Song
Wei Chai
FedML
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Papers citing
"Collaborative Learning for Deep Neural Networks"
50 / 89 papers shown
Title
Structurally Refined Graph Transformer for Multimodal Recommendation
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CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
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Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition
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Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
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210
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07 Aug 2024
Cooperative Meta-Learning with Gradient Augmentation
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Jangho Kim
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127
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07 Jun 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
International Conference on Machine Learning (ICML), 2024
Royson Lee
Javier Fernandez-Marques
S. Hu
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Stefanos Laskaridis
Łukasz Dudziak
Timothy M. Hospedales
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Nicholas D. Lane
142
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Predictive Mapping of Spectral Signatures from RGB Imagery for Off-Road Terrain Analysis
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Ananya Trivedi
Bruce Maxwell
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105
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Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
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102
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10 Apr 2024
Predictive Churn with the Set of Good Models
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Flavio du Pin Calmon
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205
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Precise Knowledge Transfer via Flow Matching
Shitong Shao
Zhiqiang Shen
Linrui Gong
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Xu Dai
157
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Collaboratively Self-supervised Video Representation Learning for Action Recognition
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Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
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264
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15 Jan 2024
Decoupled Knowledge with Ensemble Learning for Online Distillation
Baitan Shao
Ying Chen
113
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18 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative Learning
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Maorong Wang
Nicolas Michel
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Toshihiko Yamasaki
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17
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Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
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B. Le
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12 Sep 2023
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation
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Jinjing Zhu
Yuan Luo
Xueye Zheng
Hao Wang
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110
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24 Jul 2023
Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation
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Yexin Liu
Weiming Zhang
Guoyang Zhao
Jinjing Zhu
Athanasios V. Vasilakos
Lin Wang
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129
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10 Jul 2023
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Chuanguang Yang
Xinqiang Yu
Zhulin An
Yongjun Xu
VLM
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400
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An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning
Sitan Li
C. Cheah
131
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Self-discipline on multiple channels
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Liangchen Luo
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108
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27 Apr 2023
Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
M. Fadul
S. M. I. Donald R. Reising
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Mina Sartipi
140
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Heterogeneous-Branch Collaborative Learning for Dialogue Generation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yiwei Li
Shaoxiong Feng
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Kan Li
83
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21 Mar 2023
Latent Class-Conditional Noise Model
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jiangchao Yao
Bo Han
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Ya Zhang
Ivor W. Tsang
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113
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19 Feb 2023
Co-training
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Computer Vision and Pattern Recognition (CVPR), 2022
Hugo Touvron
Matthieu Cord
Maxime Oquab
Piotr Bojanowski
Jakob Verbeek
Edouard Grave
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120
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09 Dec 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
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Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
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125
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Deep Combinatorial Aggregation
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Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
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Yi Lin
Hao Chen
Zhuotao Tian
Xin Yang
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148
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21 Sep 2022
An Investigation of Smart Contract for Collaborative Machine Learning Model Training
Sheng Ding
Chenhui Hu
100
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Switchable Online Knowledge Distillation
European Conference on Computer Vision (ECCV), 2022
Biao Qian
Yang Wang
Hongzhi Yin
Richang Hong
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135
41
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Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
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120
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10 Sep 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
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Tom Burgert
Mahdyar Ravanbakhsh
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154
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28 Jul 2022
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition
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Chuanguang Yang
Zhulin An
Helong Zhou
Fuzhen Zhuang
Yongjun Xu
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198
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23 Jul 2022
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
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Tze Ho Elden Tse
K. Kim
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193
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27 Apr 2022
Channel Self-Supervision for Online Knowledge Distillation
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Xuan Cheng
Xiaomin Wang
Chun Yang
Pan Deng
Minghui Liu
Jiali Deng
Meilin Liu
93
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22 Mar 2022
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
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Chenze Shao
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CLL
118
36
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Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
The Web Conference (WWW), 2022
SeongKu Kang
Dongha Lee
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Junyoung Hwang
Hwanjo Yu
99
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Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
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115
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Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift
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Isha Garg
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116
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Mutual Adversarial Training: Learning together is better than going alone
Jiang-Long Liu
Chun Pong Lau
Hossein Souri
Soheil Feizi
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124
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Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning
Xiaohang Bian
Bo Qin
Xiaozhe Xin
Jianwu Li
Xuefeng Su
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149
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Improved Knowledge Distillation via Adversarial Collaboration
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Yanxia Liu
99
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A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training
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Francisco Herrera
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114
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Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
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Zhulin An
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Yongjun Xu
176
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Cooperative Learning for Noisy Supervision
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Jiangchao Yao
Ya Zhang
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I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
Bo Du
Jian Ye
Jing Zhang
Juhua Liu
Dacheng Tao
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142
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Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation
Jue Jiang
A. Rimner
Joseph O. Deasy
Harini Veeraraghavan
147
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Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
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Xu Shen
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Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
92
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Collaborative Training of Acoustic Encoders for Speech Recognition
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Yangyang Shi
Ganesh Venkatesh
Ozlem Kalinli
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Vikas Chandra
162
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Intra-Model Collaborative Learning of Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Shijie Fang
Tong Lin
48
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20 May 2021
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