Dash: Semi-Supervised Learning with Dynamic Thresholding

1 September 2021

Yu-Feng Li

Hao Li

Papers citing "Dash: Semi-Supervised Learning with Dynamic Thresholding"

33 / 33 papers shown

Title
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 164 1 0 14 Dec 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 43 0 0 15 Oct 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 37 0 0 25 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data Sneha Paul Zachary Patterson Nizar Bouguila 24 0 0 21 Sep 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 40 1 0 16 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 36 2 0 22 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 19 4 0 31 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning Marzi Heidari Hanping Zhang Yuhong Guo OffRL 27 0 0 02 May 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 43 2 0 22 Mar 2024
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space Yuexing Han Guanxin Wan Bing Wang 16 5 0 06 Dec 2023
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data Daoan Zhang Yunhao Luo Jiang Zhang UQCV 17 0 0 30 Nov 2023
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector Khanh-Binh Nguyen 25 2 0 24 Oct 2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Bo Sun Yuqi Yang Le Zhang Ming-Ming Cheng Qibin Hou 23 25 0 07 Jun 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 27 17 0 22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 23 12 0 22 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 40 16 0 04 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao W. Wang Yifan Zhang 43 6 0 26 Apr 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 21 10 0 13 Mar 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 22 141 0 26 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 23 6 0 24 Jan 2023
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 14 17 0 09 Dec 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 20 12 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 24 3 0 20 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Zhongying Deng Rihuan Ke Carola-Bibiane Schonlieb Angelica I Aviles-Rivero 17 0 0 17 Nov 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Yangbangyan Jiang Xiaodan Li Xiaodan Li YueFeng Chen Yuan He Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 9 18 0 26 Sep 2022
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu C. Miao Xiansheng Hua Hanwang Zhang 29 17 0 29 Jun 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 28 33 0 27 Mar 2022
SimMatch: Semi-supervised Learning with Similarity Matching Mingkai Zheng Shan You Lang Huang Fei Wang Chao Qian Chang Xu 30 171 0 14 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Yuchao Wang Haochen Wang Yujun Shen Jingjing Fei Wei Li Guoqiang Jin Liwei Wu Rui Zhao Xinyi Le UQCV 15 331 0 08 Mar 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 26 85 0 15 Feb 2022
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 28 14 0 11 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 49 54 0 08 Nov 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 127 1,198 0 16 Aug 2016