Self-Knowledge Distillation with Progressive Refinement of Targets

Self-Knowledge Distillation with Progressive Refinement of Targets

22 June 2020

Papers citing "Self-Knowledge Distillation with Progressive Refinement of Targets"

18 / 18 papers shown

Title
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior Dongwoo Park Suk Pil Ko 136 0 0 01 Apr 2025
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 29 0 0 26 Jul 2024
Instance Temperature Knowledge Distillation Zhengbo Zhang Yuxi Zhou Jia Gong Jun Liu Zhigang Tu 21 2 0 27 Jun 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 75 7 0 08 Jun 2024
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples Ziye Fang Xin Jiang Hao Tang Zechao Li 30 12 0 10 Nov 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 29 19 0 22 May 2023
CORSD: Class-Oriented Relational Self Distillation Muzhou Yu S. Tan Kailu Wu Runpei Dong Linfeng Zhang Kaisheng Ma 24 0 0 28 Apr 2023
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation Hyungmin Kim Sungho Suh Sunghyun Baek Daehwan Kim Daun Jeong Hansang Cho Junmo Kim 17 5 0 20 Nov 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 21 23 0 23 Oct 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Chuhan Wu Xing Xie M. Cha FedML 24 53 0 19 Jul 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Z. Wang Shiníchi Satoh FedML 33 1 0 17 Jun 2022
Self-Distillation from the Last Mini-Batch for Consistency Regularization Yiqing Shen Liwu Xu Yuzhe Yang Yaqian Li Yandong Guo 15 60 0 30 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 27 18 0 14 Mar 2022
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks Guanqun Ding Nevrez Imamoglu Ali Caglayan M. Murakawa Ryosuke Nakamura 25 23 0 07 Dec 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 19 20 0 07 May 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 30 37 0 16 Dec 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks Armen Aghajanyan 21 16 0 21 Sep 2016