Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Bo, Gan, Kai, Wei, Tong, Zhang, Min-Ling |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
by: Ye, Bo, et al.
Published: (2026)
by: Ye, Bo, et al.
Published: (2026)
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
by: Park, Seongheon, et al.
Published: (2024)
by: Park, Seongheon, et al.
Published: (2024)
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)
by: Heidari, Marzi, et al.
Published: (2024)
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)
Generalized Open-World Semi-Supervised Object Detection
by: Allabadi, Garvita, et al.
Published: (2023)
by: Allabadi, Garvita, et al.
Published: (2023)
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
by: Tian, Senmao, et al.
Published: (2025)
by: Tian, Senmao, et al.
Published: (2025)
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
by: Huang, Zhiyuan, et al.
Published: (2025)
by: Huang, Zhiyuan, et al.
Published: (2025)
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)
by: Liu, Yijie, et al.
Published: (2025)
SHED: Style-Homogenized Embedding Alignment for Domain Generalization
by: Gan, Kai, et al.
Published: (2026)
by: Gan, Kai, et al.
Published: (2026)
Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)
by: Luo, Yan, et al.
Published: (2022)
Semi-Supervised Learning with Multi-Head Co-Training
by: Chen, Mingcai, et al.
Published: (2021)
by: Chen, Mingcai, et al.
Published: (2021)
Semi-Supervised Hierarchical Open-Set Classification
by: Wallin, Erik, et al.
Published: (2026)
by: Wallin, Erik, et al.
Published: (2026)
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, 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)
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
by: Han, Haorong, et al.
Published: (2024)
by: Han, Haorong, et al.
Published: (2024)
Supercm: Revisiting Clustering for Semi-Supervised Learning
by: Singh, Durgesh, et al.
Published: (2025)
by: Singh, Durgesh, 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)
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)
by: Wallin, Erik, et al.
Published: (2024)
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025)
by: Luo, Mao-Lin, et al.
Published: (2025)
The Impact of Semi-Supervised Learning on Line Segment Detection
by: Engman, Johanna, et al.
Published: (2024)
by: Engman, Johanna, et al.
Published: (2024)
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
by: Zheng, Hongwei, et al.
Published: (2024)
by: Zheng, Hongwei, et al.
Published: (2024)
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2025)
by: Hou, Yaxin, et al.
Published: (2025)
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
by: He, Hongyang, et al.
Published: (2025)
by: He, Hongyang, et al.
Published: (2025)
Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
by: Akiba, Kohki, et al.
Published: (2026)
by: Akiba, Kohki, et al.
Published: (2026)
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
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)
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)
by: Xie, Haoyu, et al.
Published: (2024)
Gridding Forced Displacement using Semi-Supervised Learning
by: Wells, Andrew, et al.
Published: (2025)
by: Wells, Andrew, et al.
Published: (2025)
Bridging the Modality Gap in Roadside LiDAR: A Training-Free Vision-Language Model Framework for Vehicle Classification
by: Li, Yiqiao, et al.
Published: (2026)
by: Li, Yiqiao, et al.
Published: (2026)
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
by: Kwak, Min Gu, et al.
Published: (2024)
by: Kwak, Min Gu, et al.
Published: (2024)
KeepLoRA: Continual Learning with Residual Gradient Adaptation
by: Luo, Mao-Lin, et al.
Published: (2026)
by: Luo, Mao-Lin, et al.
Published: (2026)
The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
by: Dumery, Corentin, et al.
Published: (2026)
by: Dumery, Corentin, et al.
Published: (2026)
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
by: Sbeyti, Moussa Kassem, et al.
Published: (2025)
by: Sbeyti, Moussa Kassem, et al.
Published: (2025)
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)
by: Chen, Duowen, et al.
Published: (2026)
Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
by: Liu, Tian, et al.
Published: (2025)
by: Liu, Tian, et al.
Published: (2025)
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
by: Sun, Guangyu, et al.
Published: (2025)
by: Sun, Guangyu, et al.
Published: (2025)
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)
Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)
by: Xiao, Huaiyuan, et al.
Published: (2025)
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
by: Yi, Chao, et al.
Published: (2024)
by: Yi, Chao, et al.
Published: (2024)
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
by: Kim, Jiwon, et al.
Published: (2023)
by: Kim, Jiwon, et al.
Published: (2023)
Similar Items
-
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
by: Ye, Bo, et al.
Published: (2026) -
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
by: Park, Seongheon, et al.
Published: (2024) -
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024) -
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
by: Niu, Shengjie, et al.
Published: (2024) -
Generalized Open-World Semi-Supervised Object Detection
by: Allabadi, Garvita, et al.
Published: (2023)