Semi-Supervised Learning via Weight-aware Distillation under Class
Distribution Mismatch

Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch

23 August 2023

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Papers citing "Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch"

18 / 18 papers shown

Title
Decoupled Knowledge Distillation Borui Zhao Quan Cui Renjie Song Yiyu Qiu Jiajun Liang 69 544 0 16 Mar 2022
Class-Aware Contrastive Semi-Supervised Learning Fan Yang Kai Wu Shuyi Zhang Guannan Jiang Yong Liu Feng Zheng Wei Zhang Chengjie Wang Long Zeng 59 100 0 04 Mar 2022
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 43 66 0 28 May 2021
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 127 1,394 0 31 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 311 709 0 10 Oct 2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification Haocong Rao Siqi Wang Xiping Hu Mingkui Tan Yi Guo Jun Cheng Xinwang Liu Bin Hu 3DH 55 67 0 05 Sep 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 157 3,558 0 21 Jan 2020
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 189 1,475 0 03 Jun 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 68 1,414 0 10 Apr 2019
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 173 3,458 0 05 May 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 76 227 0 02 Apr 2018
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 148 2,734 0 13 Apr 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,560 0 07 Oct 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 340 7,985 0 23 May 2016
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 163 2,119 0 21 Dec 2013