Semi-Supervised Learning with Ladder Networks

9 July 2015

Papers citing "Semi-Supervised Learning with Ladder Networks"

50 / 264 papers shown

Title
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 257 0 18 Feb 2021
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI Tarun Kanti Ghosh Md. Kamrul Hasan Shidhartho Roy Md. Ashraful Alam Eklas Hossain Mohiudding Ahmad 23 18 0 03 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Open-World Class Discovery with Kernel Networks Zifeng Wang Batool Salehi Andrey Gritsenko Kaushik R. Chowdhury Stratis Ioannidis Jennifer Dy 31 17 0 13 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering B. Lerner Guy Shiran D. Weinshall SSL 22 5 0 01 Dec 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 21 254 0 23 Nov 2020
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 34 23 0 19 Oct 2020
Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation M. Usman Maqbool Bhutta S. Aslam Peng Yun Jianhao Jiao Ming-Yu Liu 15 4 0 02 Oct 2020
Semi-supervised sequence classification through change point detection Nauman Ahad Mark A. Davenport SSL AI4TS 27 7 0 24 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification Chuan-Xian Ren Pengfei Ge D. Dai Hong Yan 25 15 0 24 Aug 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning Zhanghan Ke Di Qiu Kaican Li Qiong Yan Rynson W. H. Lau 30 247 0 12 Aug 2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition Vikas Kumar Shivansh Rao Li Yu CVBM NoLa 44 31 0 06 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 21 155 0 21 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection Cong Chen Shouyang Dong Ye Tian K. Cao Li Liu Yuanhao Guo 30 28 0 13 Jul 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 38 1 0 08 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 32 137 0 07 Jul 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 30 550 0 18 Jun 2020
Learning from Demonstration with Weakly Supervised Disentanglement Yordan V. Hristov S. Ramamoorthy DRL 27 9 0 16 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 149 6,671 0 13 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 646 0 11 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 27 12 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 26 29 0 04 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 40 88 0 30 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 40 493 0 10 May 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao 13 963 0 22 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels Xun Xu Gim Hee Lee 3DPC 27 93 0 08 Apr 2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning Jongwon Choi K. M. Yi Jihoon Kim Jincho Choo Byoungjip Kim Jin-Yeop Chang Youngjune Gwon H. Chang DRL 34 42 0 25 Mar 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection Dong Wang Yuan Zhang Kexin Zhang Liwei Wang 81 120 0 20 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 30 709 0 19 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 157 217 0 19 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data Yichun Shi Anil K. Jain CVBM 48 1 0 17 Mar 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 104 3,479 0 21 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 50 23 0 16 Jan 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 31 39 0 30 Dec 2019
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 21 125 0 26 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 27 12 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 36 41 0 20 Dec 2019
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms Varun Nair Javier Fuentes Alonso Tony Beltramelli 33 26 0 18 Dec 2019
Learning with Multiplicative Perturbations Xiulong Yang Shihao Ji AAML 30 4 0 04 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,365 0 11 Nov 2019
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations Gerda Bortsova Florian Dubost Laurens Hogeweg Ioannis Katramados Marleen de Bruijne 27 178 0 04 Nov 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 33 22 0 28 Oct 2019
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition Zheng Lian J. Tao Bin Liu Jian Huang SSL 22 17 0 24 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 21 22 0 18 Oct 2019