Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning

2 July 2020

Papers citing "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning"

50 / 53 papers shown

Title
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective Yu Wang Yuxuan Yin Peng Li 23 0 0 26 Sep 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 41 0 0 20 Jun 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch Qikai Wang Rundong He Yongshun Gong Chunxiao Ren Hao Sun Xiaoshui Huang Yilong Yin 27 0 0 25 May 2024
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial Yahya Shahsavari O. A. Dambri Yaser Baseri A. Hafid Dimitrios Makrakis OOD 46 2 0 15 Apr 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts Sai Ashish Somayajula Youwei Liang Abhishek Singh Li Zhang Pengtao Xie 24 2 0 19 Mar 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 19 0 0 09 Jan 2024
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 34 8 0 30 Nov 2023
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning Lei Zhu Zhanghan Ke Rynson W. H. Lau 16 2 0 18 Sep 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning Guy Hacohen D. Weinshall SSL 14 1 0 27 Aug 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 14 4 0 17 Jul 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang Pengchong Qiao Chang-rui Liu Guoli Song Xiawu Zheng Jie Chen OODD 26 10 0 29 May 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 27 13 0 28 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 21 8 0 13 Feb 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
End to End Generative Meta Curriculum Learning For Medical Data Augmentation Meng Li Brian C. Lovell MedIm 14 4 0 20 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
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 26 2 0 18 Oct 2022
On the Importance of Calibration in Semi-supervised Learning Charlotte Loh Rumen Dangovski Shivchander Sudalairaj Seung-Jun Han Ligong Han Leonid Karlinsky Marin Soljacic Akash Srivastava 20 6 0 10 Oct 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
Few Clean Instances Help Denoising Distant Supervision Yufang Liu Ziyin Huang Yijun Wang Changzhi Sun Man Lan Yuanbin Wu Xiaofeng Mou Ding Wang 6 1 0 14 Sep 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 25 10 0 25 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 21 151 0 28 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe W. Neiswanger P. Xie Eric P. Xing AI4CE 23 29 0 05 Jul 2022
Confident Sinkhorn Allocation for Pseudo-Labeling Vu-Linh Nguyen Hisham Husain S. Farfade A. Hengel 25 5 0 13 Jun 2022
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning Yeachan Kim Bonggun Shin 12 25 0 10 Jun 2022
Conformal Credal Self-Supervised Learning Julian Lienen Caglar Demir Eyke Hüllermeier 16 13 0 30 May 2022
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding Xian Shi Xun Xu Wanyue Zhang Xiatian Zhu Chuan-Sheng Foo K. Jia 3DPC 17 5 0 02 May 2022
Total Variation Optimization Layers for Computer Vision Raymond A. Yeh Yuan-Ting Hu Zhongzheng Ren A. Schwing 14 13 0 07 Apr 2022
Equivariance Discovery by Learned Parameter-Sharing Raymond A. Yeh Yuan-Ting Hu M. Hasegawa-Johnson A. Schwing FedML 24 14 0 07 Apr 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation Dayan Guan Jiaxing Huang Aoran Xiao Shijian Lu 19 42 0 18 Mar 2022
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation Junwen Pan Qi Bi Yanzhan Yang Pengfei Zhu Cheng Bian 13 21 0 10 Mar 2022
Semi-supervised Learning using Robust Loss Wenhui Cui H. Akrami Anand A. Joshi Richard M. Leahy OOD 9 4 0 03 Mar 2022
Ask2Mask: Guided Data Selection for Masked Speech Modeling M. Baskar Andrew Rosenberg Bhuvana Ramabhadran Yu Zhang Pedro J. Moreno 18 7 0 24 Feb 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao SSL CLL 29 6 0 23 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 19 12 0 15 Jan 2022
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 6 1 0 15 Dec 2021
Semi-supervised teacher-student deep neural network for materials discovery Daniel Gleaves Edirisuriya M Dilanga Siriwardane Yong Zhao Nihang Fu Jianjun Hu PINN 28 2 0 12 Dec 2021
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation Lu Qi Jason Kuen Zhe-nan Lin Jiuxiang Gu Fengyun Rao Dian Li Weidong Guo Zhen Wen Ming Yang Jiaya Jia 17 9 0 09 Dec 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 29 1 0 01 Dec 2021
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning Dewald Homan J. D. Preez 6 12 0 08 Oct 2021
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks Chen Liu Mengchao Zhang Liang Pang J. Guo Xueqi Cheng CLIP 21 19 0 12 Sep 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Tian Xu Lei Shang Jinxing Ye Qi Qian Yu-Feng Li Baigui Sun Hao Li R. L. Jin 20 217 0 01 Sep 2021
Influence Selection for Active Learning Zhuoming Liu Hao Ding Huaping Zhong Weijia Li Jifeng Dai Conghui He TDI 22 92 0 20 Aug 2021
A Survey of Human-in-the-loop for Machine Learning Xingjiao Wu Luwei Xiao Yixuan Sun Junhang Zhang Tianlong Ma Liangbo He SyDa 35 505 0 02 Aug 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 34 62 0 10 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 13 301 0 09 Jun 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 12 566 0 28 Feb 2021
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation Efthymios Tzinis Dimitrios Bralios Paris Smaragdis 19 1 0 25 Oct 2020
UFO $^2$ : A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren Zhiding Yu Xiaodong Yang Ming-Yu Liu A. Schwing Jan Kautz ObjD 188 35 0 21 Oct 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 250 656 0 23 Mar 2020