Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Denton, Remi, Gross, Sam, Fergus, Rob |
|---|---|
| Format: | Preprint |
| Published: |
2016
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Video Generation with a Learned Prior
by: Denton, Remi, et al.
Published: (2018)
by: Denton, Remi, et al.
Published: (2018)
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
by: Denton, Remi, et al.
Published: (2014)
by: Denton, Remi, et al.
Published: (2014)
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
by: Hu, Jiyu, et al.
Published: (2025)
by: Hu, Jiyu, et al.
Published: (2025)
Unsupervised Learning of Disentangled Representations from Video
by: Denton, Remi, et al.
Published: (2017)
by: Denton, Remi, et al.
Published: (2017)
A Unified Framework for Semi-Supervised Image Segmentation and Registration
by: Li, Ruizhe, et al.
Published: (2025)
by: Li, Ruizhe, et al.
Published: (2025)
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
by: Zhang, Lilin, et al.
Published: (2025)
by: Zhang, Lilin, et al.
Published: (2025)
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images
by: Bernhard, Maximilian, et al.
Published: (2024)
by: Bernhard, Maximilian, et al.
Published: (2024)
Context Consistency Learning via Sentence Removal for Semi-Supervised Video Paragraph Grounding
by: Zhong, Yaokun, et al.
Published: (2025)
by: Zhong, Yaokun, et al.
Published: (2025)
SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
by: Yang, Jini, et al.
Published: (2025)
by: Yang, Jini, et al.
Published: (2025)
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
by: Zhu, Lei, et al.
Published: (2025)
by: Zhu, Lei, et al.
Published: (2025)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
Exploring Semi-Supervised Learning for Online Mapping
by: Lilja, Adam, et al.
Published: (2024)
by: Lilja, Adam, et al.
Published: (2024)
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)
by: Fan, Heng-Bo, et al.
Published: (2024)
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
by: Wen, Lu, et al.
Published: (2024)
by: Wen, Lu, et al.
Published: (2024)
Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts
by: Brown, Ellis, et al.
Published: (2025)
by: Brown, Ellis, et al.
Published: (2025)
SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
by: Lyu, Zongyao, et al.
Published: (2024)
by: Lyu, Zongyao, et al.
Published: (2024)
Semi-Supervised Defect Detection via Conditional Diffusion and CLIP-Guided Noise Filtering
by: Li, Shuai, et al.
Published: (2025)
by: Li, Shuai, et al.
Published: (2025)
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, et al.
Published: (2024)
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
by: Tan, Zhiquan, et al.
Published: (2023)
by: Tan, Zhiquan, et al.
Published: (2023)
Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)
by: Ju, Lie, et al.
Published: (2023)
Hierarchical Semi-Supervised Active Learning for Remote Sensing
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
by: Niu, Shengjie, et al.
Published: (2024)
by: Niu, Shengjie, et al.
Published: (2024)
Semi-supervised Chinese Poem-to-Painting Generation via Cycle-consistent Adversarial Networks
by: Lu, Zhengyang, et al.
Published: (2024)
by: Lu, Zhengyang, et al.
Published: (2024)
Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
by: Fillioux, Leo, et al.
Published: (2026)
by: Fillioux, Leo, et al.
Published: (2026)
Semi-Supervised Adaptation of Diffusion Models for Handwritten Text Generation
by: Brandenbusch, Kai
Published: (2024)
by: Brandenbusch, Kai
Published: (2024)
Domain-Agnostic Feature Modulation for Semi-Supervised Domain Generalization
by: Amarasinghe, Venuri, et al.
Published: (2025)
by: Amarasinghe, Venuri, et al.
Published: (2025)
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
by: Galappaththige, Chamuditha Jayanaga, et al.
Published: (2024)
by: Galappaththige, Chamuditha Jayanaga, et al.
Published: (2024)
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
by: Pal, Debasmita, et al.
Published: (2023)
by: Pal, Debasmita, et al.
Published: (2023)
Multi-Modal Representation Learning via Semi-Supervised Rate Reduction for Generalized Category Discovery
by: He, Wei, et al.
Published: (2026)
by: He, Wei, et al.
Published: (2026)
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning
by: Vecchio, Giuseppe
Published: (2024)
by: Vecchio, Giuseppe
Published: (2024)
H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
by: Raghaw, Chandravardhan Singh, et al.
Published: (2026)
by: Raghaw, Chandravardhan Singh, et al.
Published: (2026)
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
by: Ye, Zanting, et al.
Published: (2025)
by: Ye, Zanting, et al.
Published: (2025)
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
by: Çağatan, Ömer Veysel, et al.
Published: (2025)
by: Çağatan, Ömer Veysel, et al.
Published: (2025)
Self-Supervised Representation Learning for Adversarial Attack Detection
by: Li, Yi, et al.
Published: (2024)
by: Li, Yi, et al.
Published: (2024)
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
by: Yang, Jing, et al.
Published: (2022)
by: Yang, Jing, et al.
Published: (2022)
Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
by: Roy, Shuvendu, et al.
Published: (2022)
by: Roy, Shuvendu, et al.
Published: (2022)
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)
by: Abhishek, Kumar, et al.
Published: (2026)
Collaborative Learning for Semi-Supervised LiDAR Semantic Segmentation
by: Yang, Bin, et al.
Published: (2026)
by: Yang, Bin, et al.
Published: (2026)
Similar Items
-
Stochastic Video Generation with a Learned Prior
by: Denton, Remi, et al.
Published: (2018) -
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
by: Denton, Remi, et al.
Published: (2014) -
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
by: Hu, Jiyu, et al.
Published: (2025) -
Unsupervised Learning of Disentangled Representations from Video
by: Denton, Remi, et al.
Published: (2017) -
A Unified Framework for Semi-Supervised Image Segmentation and Registration
by: Li, Ruizhe, et al.
Published: (2025)