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Bibliographic Details
Main Authors:	Nakayama, Shogo, Okuda, Masahiro
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2601.04518
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AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
by: Wu, Zhiyu, et al.
Published: (2024)

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
by: Yin, Yuxuan, et al.
Published: (2023)

Positive Unlabeled Contrastive Learning
by: Acharya, Anish, et al.
Published: (2022)

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)

Learning Label Hierarchy with Supervised Contrastive Learning
by: Lian, Ruixue, et al.
Published: (2024)

Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
by: Kwak, Min Gu, et al.
Published: (2024)

Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
by: Kato, Masahiro, et al.
Published: (2025)

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
by: Song, Yumeng, et al.
Published: (2023)

Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
by: Elbatel, Marawan, et al.
Published: (2024)

A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning
by: Liu, Jinshi, et al.
Published: (2026)

A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition
by: Shang, Meng, et al.
Published: (2024)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

Distribution Matching for Self-Supervised Transfer Learning
by: Jiao, Yuling, et al.
Published: (2025)

Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data
by: Acharya, Anish, et al.
Published: (2024)

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)

Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
by: Dantas, Cassio F., et al.
Published: (2024)

Collaborative Unlabeled Data Optimization
by: Shang, Xinyi, et al.
Published: (2025)

Text-Based Product Matching -- Semi-Supervised Clustering Approach
by: Martinek, Alicja, et al.
Published: (2024)

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels
by: Shen, Yiyang, et al.
Published: (2025)

Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
by: Abdolali, Maryam, et al.
Published: (2025)

Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
by: Chen, Ning, et al.
Published: (2025)

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
by: Yu, Simon, et al.
Published: (2023)

Learning from M-Tuple Dominant Positive and Unlabeled Data
by: Qin, Jiahe, et al.
Published: (2025)

A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
by: Abbas, Momin, et al.
Published: (2025)

Augmenting Offline RL with Unlabeled Data
by: Wang, Zhao, et al.
Published: (2024)

Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
by: Wu, Yuxuan, et al.
Published: (2025)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
by: Long, Zijun, et al.
Published: (2024)

Reinforcement Learning-Guided Semi-Supervised Learning
by: Heidari, Marzi, et al.
Published: (2024)

Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning
by: Rawat, Mrinal, et al.
Published: (2024)

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
by: Liang, Yingbin, et al.
Published: (2025)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
by: Qiu, Xinchi, et al.
Published: (2024)

Incorporating Unlabelled Data into Bayesian Neural Networks
by: Sharma, Mrinank, et al.
Published: (2023)

Robust Semi-Supervised Learning in Open Environments
by: Guo, Lan-Zhe, et al.
Published: (2024)

Semi-Supervised One-Shot Imitation Learning
by: Wu, Philipp, et al.
Published: (2024)

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026)

Label Distribution Learning from Logical Label
by: Jia, Yuheng, et al.
Published: (2023)

SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
by: Chowdhury, Meghna Roy, et al.
Published: (2025)

Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
by: Kim, Hee-Sung, et al.
Published: (2026)

Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift
by: Zeng, Fanlong, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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