Saved in:
| Main Authors: | Song, Yunfu, Ou, Zhijian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.20330 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
by: He, Wenbo, et al.
Published: (2025)
by: He, Wenbo, et al.
Published: (2025)
Energy-Based Models with Applications to Speech and Language Processing
by: Ou, Zhijian
Published: (2024)
by: Ou, Zhijian
Published: (2024)
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
by: Han, Yujin, et al.
Published: (2023)
by: Han, Yujin, et al.
Published: (2023)
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
by: Wang, Yulin, et al.
Published: (2020)
by: Wang, Yulin, et al.
Published: (2020)
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
Feature Space Renormalization for Semi-supervised Learning
by: Sun, Jun, et al.
Published: (2023)
by: Sun, Jun, et al.
Published: (2023)
Probability-density-aware Semi-supervised Learning
by: Liu, Shuyang, et al.
Published: (2024)
by: Liu, Shuyang, et al.
Published: (2024)
Incremental Self-training for Semi-supervised Learning
by: Guo, Jifeng, et al.
Published: (2024)
by: Guo, Jifeng, et al.
Published: (2024)
Exploring Probabilistic Models for Semi-supervised Learning
by: Wang, Jianfeng
Published: (2024)
by: Wang, Jianfeng
Published: (2024)
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)
by: Jiang, Yicong, et al.
Published: (2025)
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
by: Konwer, Aishik, et al.
Published: (2025)
by: Konwer, Aishik, et al.
Published: (2025)
Semi-supervised Domain Adaptation in Graph Transfer Learning
by: Qiao, Ziyue, et al.
Published: (2023)
by: Qiao, Ziyue, et al.
Published: (2023)
SemiReward: A General Reward Model for Semi-supervised Learning
by: Li, Siyuan, et al.
Published: (2023)
by: Li, Siyuan, et al.
Published: (2023)
Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
by: Song, Zixing, et al.
Published: (2026)
by: Song, Zixing, et al.
Published: (2026)
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
by: Bai, Sikai, et al.
Published: (2023)
by: Bai, Sikai, et al.
Published: (2023)
RCT: Random Consistency Training for Semi-supervised Sound Event Detection
by: Shao, Nian, et al.
Published: (2021)
by: Shao, Nian, et al.
Published: (2021)
Semi-supervised Contrastive Learning Using Partial Label Information
by: Hansen, Colin B., et al.
Published: (2020)
by: Hansen, Colin B., et al.
Published: (2020)
Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
by: Chung, Jichan, et al.
Published: (2025)
by: Chung, Jichan, et al.
Published: (2025)
A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)
by: Ye, Wei, et al.
Published: (2022)
Semi-supervised Fréchet Regression
by: Qiu, Rui, et al.
Published: (2024)
by: Qiu, Rui, et al.
Published: (2024)
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
by: Bae, Jinsoo, et al.
Published: (2025)
by: Bae, Jinsoo, et al.
Published: (2025)
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
by: Ai, Guoguo, et al.
Published: (2025)
by: Ai, Guoguo, et al.
Published: (2025)
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
by: Xiao, Jiaren, et al.
Published: (2023)
by: Xiao, Jiaren, et al.
Published: (2023)
Generative Semi-supervised Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2024)
by: Qiao, Hezhe, et al.
Published: (2024)
Semi-supervised CAPP Transformer Learning via Pseudo-labeling
by: Gross, Dennis, et al.
Published: (2026)
by: Gross, Dennis, et al.
Published: (2026)
Semi-supervised Batch Learning From Logged Data
by: Aminian, Gholamali, et al.
Published: (2022)
by: Aminian, Gholamali, et al.
Published: (2022)
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
by: Kang, Yan, et al.
Published: (2020)
by: Kang, Yan, et al.
Published: (2020)
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
by: Lin, Junchao, et al.
Published: (2022)
by: Lin, Junchao, et al.
Published: (2022)
Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
Self-supervised Representation Learning From Random Data Projectors
by: Sui, Yi, et al.
Published: (2023)
by: Sui, Yi, et al.
Published: (2023)
Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
by: Mia, Md Zesun Ahmed, et al.
Published: (2025)
by: Mia, Md Zesun Ahmed, et al.
Published: (2025)
Normality Calibration in Semi-supervised Graph Anomaly Detection
by: Zeng, Guolei, et al.
Published: (2025)
by: Zeng, Guolei, et al.
Published: (2025)
Semi-supervised learning with max-margin graph cuts
by: Kveton, Branislav, et al.
Published: (2026)
by: Kveton, Branislav, et al.
Published: (2026)
Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)
by: Wang, Linshanshan, et al.
Published: (2025)
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
by: Jiang, Zhangqi, et al.
Published: (2025)
by: Jiang, Zhangqi, et al.
Published: (2025)
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
by: Zhang, Yifan, et al.
Published: (2023)
by: Zhang, Yifan, et al.
Published: (2023)
Similar Items
-
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
by: He, Wenbo, et al.
Published: (2025) -
Energy-Based Models with Applications to Speech and Language Processing
by: Ou, Zhijian
Published: (2024) -
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
by: Han, Yujin, et al.
Published: (2023) -
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
by: Wang, Yulin, et al.
Published: (2020) -
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024)