Semi-Supervised Learning with Ladder Networks

9 July 2015

Papers citing "Semi-Supervised Learning with Ladder Networks"

50 / 264 papers shown

Title
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 270 0 30 Sep 2019
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification Lei Qi Lei Wang Jing Huo Yinghuan Shi Yang Gao 27 45 0 15 Aug 2019
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation Shuai Chen Gerda Bortsova Antonio Garcia-Uceda Juarez Gijs van Tulder Marleen de Bruijne 27 154 0 29 Jul 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network Vishwanath A. Sindagi Vishal M. Patel 20 187 0 24 Jul 2019
DSNet: Automatic Dermoscopic Skin Lesion Segmentation Md. Kamrul Hasan Lavsen Dahal P. Samarakoon F. I. Tushar Robert Martí Marly SSeg 18 148 0 09 Jul 2019
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning Sepidehsadat Hosseini M. Shabani N. Cho CVBM 36 3 0 08 Jul 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval Devraj Mandal Pramod Rao Soma Biswas 19 4 0 27 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 58 1,417 0 22 May 2019
Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman SSL 24 49 0 21 May 2019
Illumination-Adaptive Person Re-identification Zelong Zeng Zhixiang Wang Zheng Wang Yinqiang Zheng Yung-Yu Chuang Shiníchi Satoh 29 90 0 11 May 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 36 652 0 09 May 2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering Bo Chen Xiaotao Gu Yufeng Hu Siliang Tang Guoping Hu Yueting Zhuang Xiang Ren 28 19 0 13 Apr 2019
Variational Information Distillation for Knowledge Transfer Sungsoo Ahn S. Hu Andreas C. Damianou Neil D. Lawrence Zhenwen Dai 58 610 0 11 Apr 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 37 179 0 27 Mar 2019
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation Ethan M. Rudd Felipe N. Ducau Cody Wild Konstantin Berlin Richard E. Harang AAML 19 29 0 13 Mar 2019
Learning Dual Retrieval Module for Semi-supervised Relation Extraction Hongtao Lin Jun Yan Meng Qu Xiang Ren 21 60 0 20 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 22 99 0 07 Feb 2019
Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders Baruch Epstein Ron Meir SSL DRL AI4CE 16 16 0 04 Feb 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 29 63 0 20 Dec 2018
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
Unsupervised Domain Adaptation using Generative Models and Self-ensembling Eman T. Hassan Xin Chen David J. Crandall OOD 20 7 0 02 Dec 2018
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models Pengyuan Ren Jianmin Li 25 9 0 20 Nov 2018
Deep neural network based i-vector mapping for speaker verification using short utterances Jinxi Guo N. Xu Kailun Qian Yang Shi Kaiyuan Xu Yingnian Wu Abeer Alwan 14 24 0 16 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 37 229 0 04 Oct 2018
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification Xiaofeng Zhang Zhangyang Wang Dong Liu Qing Ling 14 89 0 29 Aug 2018
Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication Qian Wang Hang Li Zhi Chen Dou Zhao Shuang Ye Jiansheng Cai 11 15 0 25 Jul 2018
Unsupervised Learning by Competing Hidden Units Dmitry Krotov J. Hopfield SSL 14 166 0 26 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 33 89 0 07 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 14 30 0 01 Jun 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 27 55 0 22 May 2018
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes Srinivas Parthasarathy Carlos Busso 17 45 0 28 Apr 2018
MEADE: Towards a Malicious Email Attachment Detection Engine Ethan M. Rudd Richard E. Harang Joshua Saxe 33 33 0 22 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 33 50 0 10 Apr 2018
Clustering-driven Deep Embedding with Pairwise Constraints Sharon Fogel Hadar Averbuch-Elor Jacob Goldberger Daniel Cohen-Or 3DPC 27 48 0 22 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 10 445 0 15 Mar 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 22 281 0 15 Mar 2018
Deep Bayesian Active Semi-Supervised Learning Matthias Rottmann Karsten Kahl Hanno Gottschalk UQCV BDL 6 26 0 03 Mar 2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 33 7 0 26 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 29 31 0 15 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 29 23 0 14 Feb 2018
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding Liqiang Wang Deliang Fan Boqing Gong NoLa 34 103 0 08 Feb 2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition Mingzhi Zeng Tong Yu Tianlin Li Le T. Nguyen Ole J. Mengshoel Ian Lane SSL HAI 16 62 0 22 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 90 2,784 0 22 Jan 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Mathias Niepert 49 446 0 29 Nov 2017
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 53 475 0 28 Nov 2017