Semi-Supervised Learning with Ladder Networks

9 July 2015

Papers citing "Semi-Supervised Learning with Ladder Networks"

50 / 264 papers shown

Title
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion Zhaoxin Fan Yulin He Zhicheng Wang Kejian Wu Hongyan Liu Jun He 37 7 0 20 Apr 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs Hazel Doughty Cees G. M. Snoek 40 19 0 23 Mar 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning Yao Yao Ju Shen Jin Xu Bin Zhong Li Xiao 29 3 0 17 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 26 3 0 05 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 29 187 0 05 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 40 1 0 29 Jan 2022
Generalized Category Discovery S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman 40 188 0 07 Jan 2022
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 22 121 0 17 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 21 44 0 08 Dec 2021
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining Yongbin Liao Erik Cambria Yang-ting Zhang Chuangguan Ye Tao Chen Jiayuan Fan ISeg 3DPC 34 22 0 30 Nov 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 41 10 0 23 Nov 2021
Semi-Supervised Vision Transformers Zejia Weng Xitong Yang Ang Li Zuxuan Wu Yu-Gang Jiang ViT 17 40 0 22 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation Haoping Bai Mengyao Cao Ping Huang Jiulong Shan SSL 31 10 0 22 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 94 0 03 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 31 15 0 30 Oct 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 39 12 0 29 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 41 32 0 26 Oct 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations Jinyong Hou Xuejie Ding Jeremiah D. Deng MedIm 26 19 0 22 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 279 868 0 15 Oct 2021
Visualizing the embedding space to explain the effect of knowledge distillation Hyun Seung Lee C. Wallraven 31 1 0 09 Oct 2021
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers Aakash Varma Nadimpalli N. Reddy Sreeraj Ramachandran A. Rattani 27 4 0 09 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework Tengteng Huang Yifan Sun Xun Wang Haotian Yao Chi Zhang 20 3 0 04 Oct 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling Zhendong Zhang OOD 21 5 0 24 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 46 14 0 15 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning Liwei Che Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 27 23 0 12 Sep 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 50 22 0 09 Sep 2021
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition Zhi Qiao Yu Zhou Jin Wei Wei Wang Yuanqing Zhang Ning Jiang Hongbin Wang Weiping Wang 29 70 0 09 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 Rong Jin 47 219 0 01 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin A. K. M. Mahbubur Rahman A. Ali DRL 30 0 0 29 Aug 2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 19 22 0 19 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 58 83 0 19 Aug 2021
Semi-supervised learning with Bayesian Confidence Propagation Neural Network Naresh B. Ravichandran A. Lansner Pawel Herman SSL 20 2 0 29 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual Categories Kai Han Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Andrea Vedaldi Andrew Zisserman SSL 24 125 0 29 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 23 301 0 09 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 23 574 0 27 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning Tsung-Wei Ke Jyh-Jing Hwang Stella X. Yu SSL 35 75 0 03 May 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 32 6 0 01 Apr 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang-feng Zhou Chaohui Yu Zhibin Wang Qi Qian Hao Li ObjD 27 195 0 21 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 33 145 0 17 Mar 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato SSL 23 22 0 16 Mar 2021
Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases) Jafar Abdollahi Babak Nouri-Moghaddam M. Ghazanfari OOD 22 31 0 15 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 43 174 0 05 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 5 0 27 Feb 2021