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Bibliographic Details
Main Authors:	Kou, Zhiqiang, Qin, Si, Wang, Hailin, Xie, Mingkun, Chen, Shuo, Jia, Yuheng, Liu, Tongliang, Sugiyama, Masashi, Geng, Xin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.01170
Tags:	Add Tag No Tags, Be the first to tag this record!

Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity
by: Wu, Junxiang, et al.
Published: (2026)

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
by: Zhang, Jingfeng, et al.
Published: (2023)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
by: Kou, Zhiqiang, et al.
Published: (2025)

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

Concentration Distribution Learning from Label Distributions
by: Tang, Jiawei, et al.
Published: (2025)

Scalable Label Distribution Learning for Multi-Label Classification
by: Zhao, Xingyu, et al.
Published: (2023)

Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
by: Kou, Zhiqiang, et al.
Published: (2026)

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
by: Xiao, Jia-Hao, et al.
Published: (2024)

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes
by: Mai, Tan-Ha, et al.
Published: (2026)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
by: Chen, Hao, et al.
Published: (2023)

Rethinking Consistent Multi-Label Classification Under Inexact Supervision
by: Wang, Wei, et al.
Published: (2025)

Multi-Label Knowledge Distillation
by: Yang, Penghui, et al.
Published: (2023)

Partial Label Clustering
by: Xie, Yutong, et al.
Published: (2025)

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance
by: Kou, Zhiqiang, et al.
Published: (2024)

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
by: Xie, Ming-Kun, et al.
Published: (2024)

Realistic Evaluation of Deep Partial-Label Learning Algorithms
by: Wang, Wei, et al.
Published: (2025)

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025)

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
by: Chen, Ling-Hao, et al.
Published: (2023)

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
by: Wang, Wei, et al.
Published: (2023)

Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes
by: Sugiyama, Kosuke, et al.
Published: (2025)

Can Class-Priors Help Single-Positive Multi-Label Learning?
by: Liu, Biao, et al.
Published: (2023)

Reinforcement Learning with Options and State Representation
by: Ghriss, Ayoub, et al.
Published: (2024)

Are Multimodal Large Language Models Good Annotators for Image Tagging?
by: Xie, Ming-Kun, et al.
Published: (2026)

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
by: Chang, Trenton, et al.
Published: (2024)

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

Decoupling the Class Label and the Target Concept in Machine Unlearning
by: Zhu, Jianing, et al.
Published: (2024)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
by: Chen, Hao, et al.
Published: (2023)

Early Stopping Against Label Noise Without Validation Data
by: Yuan, Suqin, et al.
Published: (2025)

BrokenBind: Universal Modality Exploration beyond Dataset Boundaries
by: Huang, Zhuo, et al.
Published: (2026)

Semantic-guided Representation Learning for Multi-Label Recognition
by: Zhang, Ruhui, et al.
Published: (2025)

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
by: Yang, Fuchao, et al.
Published: (2024)

What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
by: Xie, Ming-Kun, et al.
Published: (2025)

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024)

Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
by: Tian, Yuxin, et al.
Published: (2024)

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
by: Wang, Qizhou, et al.
Published: (2024)

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator
by: Kou, Wei-Bin, et al.
Published: (2025)

Learning Robust Diffusion Models from Imprecise Supervision
by: Wu, Dong-Dong, 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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