Papers citing 'Collaborative Learning for Deep Neural Networks'

Title
Mutual Contrastive Learning for Visual Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu VLM SSL 312 87 0 26 Apr 2021
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For LatencyInterspeech (Interspeech), 2021 Yangyang Shi Varun K. Nagaraja Chunyang Wu Jay Mahadeokar Duc Le ... Ching-Feng Yeh Julian Chan Christian Fuegen Ozlem Kalinli M. Seltzer 119 16 0 05 Apr 2021
Collaborative Label Correction via Entropy ThresholdingIndustrial Conference on Data Mining (IDM), 2019 Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya Zhang Yanfeng Wang NoLa 71 4 0 31 Mar 2021
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 87 2 0 27 Mar 2021
Distilling a Powerful Student Model via Online Knowledge DistillationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Shaojie Li Mingbao Lin Yan Wang Yongjian Wu Yonghong Tian Ling Shao Rongrong Ji FedML 186 57 0 26 Mar 2021
Student Network Learning via Evolutionary Knowledge Distillation Kangkai Zhang Chunhui Zhang Shikun Li Dan Zeng Shiming Ge 127 98 0 23 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep SubnetworksIEEE International Conference on Computer Vision (ICCV), 2021 Alexandre Ramé Rémy Sun Matthieu Cord UQCV 243 63 0 10 Mar 2021
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-WidthsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Ximeng Sun Yikang Shen Chun-Fu Chen Naigang Wang Bowen Pan Bowen Pan Kailash Gopalakrishnan A. Oliva Rogerio Feris Kate Saenko MQ 158 6 0 02 Mar 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 100 9 0 09 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 178 36 0 05 Feb 2021
Feature Sharing Cooperative Network for Semantic SegmentationVISIGRAPP (VISIGRAPP), 2021 Ryota Ikedo Kazuhiro Hotta FedML SSeg 38 2 0 20 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial EstimationInternational Conference on Learning Representations (ICLR), 2021 Alexandre Ramé Matthieu Cord FedML 139 57 0 14 Jan 2021
Suppressing Spoof-irrelevant Factors for Domain-agnostic Face Anti-spoofingIEEE Access (IEEE Access), 2020 Taewook Kim Y. Kim CVBM PICV 104 18 0 02 Dec 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-trainingIEEE Transactions on Image Processing (TIP), 2020 Shuai Zhao Liguang Zhou Wenxiao Wang Xiaofei He Tin Lun Lam Yangsheng Xu 244 32 0 30 Nov 2020
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020 B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 152 313 0 24 Nov 2020
Online Knowledge Distillation via Multi-branch Diversity EnhancementAsian Conference on Computer Vision (ACCV), 2020 Zheng Li Ying Huang Defang Chen Tianren Luo Ning Cai Zhigeng Pan 174 33 0 02 Oct 2020
Collaborative Group LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Shaoxiong Feng Hongshen Chen Xuancheng Ren Zhuoye Ding Kan Li Xu Sun 94 9 0 16 Sep 2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation Jiyue Wang Pei Zhang Wenjie Pang Jie Li 46 0 0 11 Sep 2020
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation Anbang Yao Dawei Sun 98 60 0 18 Aug 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 179 23 0 28 Jul 2020
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-IdentificationEuropean Conference on Computer Vision (ECCV), 2020 Mang Ye Jianbing Shen David J. Crandall Ling Shao Jiebo Luo 157 405 0 18 Jul 2020
Collaborative Learning for Faster StyleGAN Embedding Shanyan Guan Ying Tai Bingbing Ni Feida Zhu Feiyue Huang Xiaokang Yang 131 109 0 03 Jul 2020
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet Hao Chen Abhinav Shrivastava 109 15 0 01 Jul 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 115 141 0 07 Jun 2020
Multi-view Contrastive Learning for Online Knowledge Distillation Chuanguang Yang Zhulin An Yongjun Xu 133 26 0 07 Jun 2020
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimationIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020 Edouard Yvinec Arnaud Dapogny Kévin Bailly 88 2 0 15 Apr 2020
The Future of Digital Health with Federated Learningnpj Digital Medicine (NPJ Digit Med), 2020 Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 399 2,115 0 18 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 129 7 0 03 Mar 2020
Hydra: Preserving Ensemble Diversity for Model Distillation Linh-Tam Tran Bastiaan S. Veeling Kevin Roth J. Swiatkowski Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Sebastian Nowozin Rodolphe Jenatton 138 63 0 14 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 347 745 0 08 Jan 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 167 185 0 24 Dec 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2019 Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 253 3,106 0 11 Dec 2019
Online Knowledge Distillation with Diverse PeersAAAI Conference on Artificial Intelligence (AAAI), 2019 Defang Chen Jian-Ping Mei Can Wang Yan Feng Chun-Yen Chen FedML 232 332 0 01 Dec 2019
Challenges of Privacy-Preserving Machine Learning in IoT Mengyao Zheng Dixing Xu Linshan Jiang Chaojie Gu Rui Tan Peng Cheng 56 29 0 21 Sep 2019
Knowledge Transfer Graph for Deep Collaborative LearningAsian Conference on Computer Vision (ACCV), 2019 Soma Minami Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 90 11 0 10 Sep 2019
Improved Techniques for Training Adaptive Deep NetworksIEEE International Conference on Computer Vision (ICCV), 2019 Hao Li Hong Zhang Xiaojuan Qi Ruigang Yang Gao Huang 145 146 0 17 Aug 2019
EnsembleNet: End-to-End Optimization of Multi-headed Models Hanhan Li Joe Yue-Hei Ng Apostol Natsev 89 16 0 24 May 2019
Feature Fusion for Online Mutual Knowledge Distillation Jangho Kim Minsung Hyun Inseop Chung Nojun Kwak FedML 125 95 0 19 Apr 2019
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision Jiangchao Yao Ya Zhang Ivor W. Tsang Jun-wei Sun NoLa 74 1 0 06 Mar 2019