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Semi-Supervised Learning with Ladder Networks

Semi-Supervised Learning with Ladder Networks

9 July 2015
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
    SSL
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Papers citing "Semi-Supervised Learning with Ladder Networks"

50 / 252 papers shown
Title
Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation
Yingjie Chen
Jiarui Zhang
Tao Wang
Yun Liang
84
1
0
11 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
69
0
0
08 Mar 2025
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
Junsong Zhang
Chunyu Lin
Zhijie Shen
Lang Nie
K. Liao
Yao Zhao
35
0
0
03 Mar 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
253
1
0
14 Dec 2024
Deep clustering using adversarial net based clustering loss
Deep clustering using adversarial net based clustering loss
Kart-Leong Lim
69
0
0
12 Dec 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song
Zhiquan Tan
Bochao Zou
Jiansheng Chen
Huimin Ma
Weiran Huang
44
1
0
25 Sep 2024
Semi-Supervised 3D Object Detection with Channel Augmentation using
  Transformation Equivariance
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance
Minju Kang
Taehun Kong
Tae-Kyun Kim
3DPC
33
0
0
10 Sep 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
51
0
0
31 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
44
1
0
16 Jul 2024
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
Shuai Zeng
Wenzhao Zheng
Jiwen Lu
Haibin Yan
3DPC
46
1
0
27 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
39
0
0
02 May 2024
Deep Active Learning: A Reality Check
Deep Active Learning: A Reality Check
Edrina Gashi
Jiankang Deng
Ismail Elezi
HAI
44
1
0
21 Mar 2024
ProtIR: Iterative Refinement between Retrievers and Predictors for
  Protein Function Annotation
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
Zuobai Zhang
Jiarui Lu
Vijil Chenthamarakshan
Aurélie C. Lozano
Payel Das
Jian Tang
26
1
0
10 Feb 2024
Investigating Semi-Supervised Learning Algorithms in Text Datasets
Investigating Semi-Supervised Learning Algorithms in Text Datasets
Himmet Toprak Kesgin
M. Amasyalı
29
0
0
03 Jan 2024
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
32
5
0
06 Dec 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
35
2
0
24 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
40
9
0
04 Oct 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Meng Wei
C. Budd
Luis C. García-Peraza-Herrera
R. Dorent
Miaojing Shi
Tom Kamiel Magda Vercauteren
25
5
0
09 Aug 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Y. Yin
Yu Wang
Gang Xu
37
4
0
04 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
56
6
0
26 Apr 2023
Revisiting Image Reconstruction for Semi-supervised Semantic
  Segmentation
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation
Yuhao Lin
Hai-Ming Xu
Lingqiao Liu
Jinan Zou
Javen Qinfeng Shi
32
2
0
17 Mar 2023
Neuroevolutionary algorithms driven by neuron coverage metrics for
  semi-supervised classification
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
Roberto Santana
Ivan Hidalgo-Cenalmor
Unai Garciarena
A. Mendiburu
Jose A. Lozano
27
2
0
05 Mar 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data
  with Convergence Analysis
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang
Dong Yuan
Charles Z. Liu
Yong Deng
Wei Bao
FedML
66
5
0
23 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
45
6
0
07 Feb 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
36
7
0
24 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
33
0
0
11 Jan 2023
Long-horizon video prediction using a dynamic latent hierarchy
Long-horizon video prediction using a dynamic latent hierarchy
Alexey Zakharov
Qinghai Guo
Z. Fountas
36
4
0
29 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
35
10
0
13 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data
  Augmentation
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
19
2
0
30 Nov 2022
Deep Semi-supervised Learning with Double-Contrast of Features and
  Semantics
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics
Quan Feng
Jiayu Yao
Zhisong Pan
Guojun Zhou
21
0
0
28 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
25
5
0
23 Nov 2022
Semi-Supervised Lifelong Language Learning
Semi-Supervised Lifelong Language Learning
Ying Zhao
Yinhe Zheng
Yu Bowen
Zhiliang Tian
Dongkyu Lee
Jian Sun
Haiyang Yu
Yongbin Li
N. Zhang
CLL
KELM
43
3
0
23 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
28
3
0
20 Nov 2022
Joint Sub-component Level Segmentation and Classification for Anomaly
  Detection within Dual-Energy X-Ray Security Imagery
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery
Neelanjan Bhowmik
T. Breckon
24
3
0
29 Oct 2022
Scaling Forward Gradient With Local Losses
Scaling Forward Gradient With Local Losses
Mengye Ren
Simon Kornblith
Renjie Liao
Geoffrey E. Hinton
81
49
0
07 Oct 2022
Reconstruction-guided attention improves the robustness and shape
  processing of neural networks
Reconstruction-guided attention improves the robustness and shape processing of neural networks
Seoyoung Ahn
Hossein Adeli
G. Zelinsky
DiffM
AAML
33
1
0
27 Sep 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
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
19
18
0
26 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
47
114
0
24 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
32
113
0
12 Aug 2022
Semi-supervised Deep Multi-view Stereo
Semi-supervised Deep Multi-view Stereo
Hongbin Xu
Wei-Han Cheng
Yang Liu
Zhipeng Zhou
Haihong Xiao
Baigui Sun
Xuansong Xie
Wenxiong Kang
40
7
0
24 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
40
3
0
14 Jul 2022
Black-box Generalization of Machine Teaching
Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
James T. Kwok
28
0
0
30 Jun 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
20
4
0
24 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
35
27
0
10 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
38
25
0
02 Jun 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive
  Teacher
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher
Jing Jiang
Weihong Deng
32
23
0
28 May 2022
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
Xun Xu
M. Nguyen
Yasin Yazici
Kangkang Lu
Hlaing Min
Chuan-Sheng Foo
48
13
0
18 May 2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
SSL
14
12
0
11 May 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
32
7
0
20 Apr 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
Hazel Doughty
Cees G. M. Snoek
35
19
0
23 Mar 2022
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