Pseudo-Labeling

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Period ending 2026-09-14

14 new papers

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Period ending 2026-09-07

8 new papers

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  1. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Efficient Continual LearningAdaptive Scheduling

  2. LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification

    Sep 14, 2026Hui Ye, Jing Zhang, Xiulong Yang +1Multi-Label ClassificationLarge Multimodal Models

  3. Do Influence-Derived Data Perturbations Enable Machine Unlearning? A Controlled Study of Three Plausible Roles

    Sep 14, 2026Chenkai Wu, Chrispine Kambimbi, Qinyang Zeng +1Machine UnlearningUnlabeled Data

  4. Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

    Sep 14, 2026Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2Weak LabelsScore Function

  5. Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition

    Sep 14, 2026Frank Fundel, Alexandra HowardAcoustic SensingPseudo-Labeling

  6. ThreshGuide: Class-Aware Labeled-Guided Thresholding for Semi-Supervised 3D Abdominal Multi-Organ Segmentation

    Sep 14, 2026Hongyu Liu, Yinlong Wang, Lusha Li +1Medical Image SegmentationPseudo-Labeling

  7. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift

    Sep 13, 2026Mushan Li, Kihyun Han, Yanyuan MaWeak Labels

  8. Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift

    Sep 12, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Unlabeled DataDistribution Shifts

  9. AUC Maximization from Biased Positive-unlabeled Data with Confidence

    Sep 12, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Unlabeled DataArea Under The Receiver Operating Characteristic Curve

  10. Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning

    Sep 11, 2026Shaddin Dughmi, Alireza F. PourSemi-Supervised LearningDistributional Learning

  11. Conformal Calibration Transfer

    Sep 11, 2026Achref DoulaConformal PredictionCalibrated Uncertainty

  12. Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs

    Sep 9, 2026Kostia Kudriavtsev, Parvez Rafi, Sha SundaramData Science AgentsMetadata

  13. Beyond Weak Labels: Prompt-Guided Local Refinement for Weakly Supervised Water Segmentation in High-Resolution Multispectral Imagery

    Sep 9, 2026Muhammad Farhan Humayun, Mohammad Imangholiloo, Afifah Shah +2Remote Sensing Image SegmentationPseudo-Labeling

  14. Beyond Contact Sensors: Deep learning with Pseudo-Labeling for remote Photoplethysmography

    Sep 9, 2026Bhargav Acharya, Barbara Hammer, Hanna DrimallaRemote PhotoplethysmographyPseudo-Labeling

  15. Data-Efficient Crosswalk Segmentation from Overhead CCTV via Confidence- and Geometry-Guided Pseudo-Labeling

    Sep 8, 2026Abdirashid Omar, Jonghyuk ParkChange DetectionU-Net

  16. Semi-Supervised Learning under Spatially Biased Sampling

    Sep 7, 2026Bright Wiredu Nuakoh, Francky Fouedjio, Stephen Bradshaw +4Semi-Supervised LearningBridging Geographic Bias

  17. The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]

    Sep 7, 2026Bilal Ahmad, Rajed MehmoodMulti-Label ClassificationDecision Thresholds

  18. SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

    Sep 7, 2026Konstantinos Christopher Tsiolis, Denny Wu, Christos Thrampoulidis +1Multiclass ClassificationScaling Laws

  19. When Semantically Consistent Encoding Meets View-Label Heterogeneity Modeling: A Unified Framework for Incomplete Multi-View Multi-Label Learning

    Sep 7, 2026Chengliang Liu, Bo Li, Bob Zhang +3Multi-Label ClassificationMulti-View

  20. Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation

    Sep 7, 2026Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2Time-Series ClassificationMulticlass Classification

  21. Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels

    Sep 7, 2026Igor Zingman, Shada Abuhattum, Sara Kaliman +8Peripheral Blood SmearMulti-Label Classification

  22. DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic Data

    Sep 3, 2026Patrick Zimmer, Michael Halstead, Chris McCoolAgricultural RobotsRobotic Datasets

  23. Position: Unlabeled IS NOT Equal to No Human Supervision in Visual Learning

    Sep 2, 2026Dong LaoUnlabeled DataVisual Representation Learning

  24. One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

    Sep 1, 2026Skanda Athreya, Yutong WangMulti-Layer TransformersMulticlass Classification

  25. Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance

    Sep 1, 2026Jayasimha Talur, Oleg Smirnov, Paul MissaultOut-Of-Domain GeneralizationFew-Shot Learning

  26. Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

    Sep 1, 2026Udo Schlegel, Shubhangi, Gabriel Dax +3Pseudo-LabelingUnsupervised Domain Adaptation

  27. Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

    Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanSemi-Supervised LearningMixture Models

  28. MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks

    Sep 1, 2026Ziyan Liu, Chengshuai Zhao, Huan LiuGraph LearningMachine Unlearning

  29. Validity-Aware Jailbreak Evaluation for Large Language Models

    Aug 31, 2026Qilong Wu, Sahil Wadhwa, Pranab Mohanty +2Large Language Model JailbreaksJailbreak Detection

  30. SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation

    Aug 31, 2026P. Malaisree, S. Youwai, S. Janrungautai +3Few-Shot SegmentationWireless Foundation Models

  31. Low-Resource Preference Adaptation of LLMs via Activation-Based Label Propagation

    Aug 31, 2026Alessio Galatolo, Meriem BeloucifPreference PairsLarge Language Model Adaptation

  32. Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

    Aug 31, 2026Yue Cheng, Jiajun Zhang, Xiaohui Gao +2Semi-Supervised LearningLogit Lens

  33. Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

    Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanMulticlass ClassificationMissingness

  34. CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels

    Aug 31, 2026Jirong Li, Satoshi Ikehata, Shuhei Kurita +13D Gaussian3D Gaussian Splatting

  35. Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

    Aug 31, 2026Raunak Kumar, Anuj Pal, Dhruvi Solanki +3Antimicrobial PeptideMulti-Label Classification

  36. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware LearningMulticlass Classification

  37. Label Semantic Expansion via Label Guided Neural Topic Modeling

    Aug 31, 2026Haojia Zheng, Yuyin Lu, Juntian Huang +4Topic ModelingMulti-Label Classification

  38. Multiclass Linear Perceptrons with Multiplicative Margins

    Aug 30, 2026Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2Multiclass ClassificationMultilayer Perceptrons

  39. Exponential Convex Calibration Dimension for the Multi-Label Jaccard Measure

    Aug 13, 2026Mingyuan ZhangWeak LabelsMulti-Label Classification

  40. CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers

    Aug 13, 2026Ebenezer TarubingaPseudo-LabelingReal-Time Semantic Segmentation

  41. PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping

    Aug 12, 2026Chikao Tsuchiya, Dhaval Bhanderi, David Ilstrup +2Lane-Level Map GenerationPseudo-Labeling

  42. Personalized Scorer Modeling: A Learning-Based Framework for Deriving Robust Sleep Stage Labels from Multiple Experts

    Aug 12, 2026Seyyed Ali Hoseini, Javad Baseri, Hamid Saadatfar +2Sleep Stage ClassificationElectroencephalogram

  43. Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation

    Aug 12, 2026Usama Imdad, Ali Khan, Luke Lu +2CrackDrilling Data

  44. ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

    Aug 12, 2026Duy-Dong Nguyen, Le-Van Thai, Hoai Nhan Pham +3Multiple Instance LearningPseudo-Labeling

  45. Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments

    Aug 12, 2026Zhankang Xu, Fei Shi, Xiangyu Qi +6Point CloudsPseudo-Labeling

  46. Learning from Multimodal Pseudo-Labels for Robust Open-Vocabulary Instance and Panoptic Segmentation

    Aug 12, 2026Duy Tran Thanh, Yeejin Lee, Byeongkeun KangPanoptic SegmentationOpen-Vocabulary

  47. Zero-OVCD: Bridging Training-Free Foundation Models and Pseudo-Label Learning for Open-Vocabulary Change Detection

    Aug 12, 2026Daifeng Peng, Yuanke Peng, Haiyan GuanChange DetectionPseudo-Labeling

  48. Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets

    Aug 11, 2026Biratal Raj Wagle, Bashirul Azam Biswas, Grant Chau +5Lesion SegmentationMedical Image Segmentation

  49. TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification

    Aug 11, 2026Jian Zhang, Zhuohao Yang, Songlin Lei +6Text ClassifierPseudo-Labeling

  50. Optimistic Rates for Multiclass PAC Learning

    Aug 11, 2026Xiaoyu Li, Andi Han, Jiaojiao Jiang +1Multiclass ClassificationPessimism

  51. Black-Box Knowledge Transfer across Distinct Feature Sets

    Aug 10, 2026Oh-Ran Kwon, Daeyoung HamTransferable KnowledgeFeature Learning

  52. C^2A: Coupling Spatial Evidence with Clinical Priors via Co-occurrence Aware Class Attention for Multi-Label Chest X-Ray Classification

    Aug 10, 2026Akash Gogineni, Nagur Shareef Shaik, Aasrith Mandava +2Chest X-Ray Report GenerationMulti-Label Classification

  53. PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

    Aug 10, 2026Mona Furukawa, Sai Hyne, Daniel R. McGowan +1Non-Small Cell Lung CancerPositron Emission Tomography

  54. Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes

    Aug 10, 2026Mario Malizia, Marnix Enting, Rob Haelterman +1Pseudo-Labeling3D Scenes

  55. UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers

    Aug 10, 2026Chidaksh Ravuru, Shashank SrivastavaText ClassifierProtein Language Model

  56. A Probabilistic Circuit-Induced Pseudo-Metric for Out-of-Distribution Detection

    Aug 10, 2026Bhumika K, Vidhya S, Narayanan C KrishnanOut-Of-Distribution Detection PerformanceDistributional Signatures

  57. Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation

    Aug 10, 2026Xuanyu Liu, Zheng Fang, Hongyang He +2Vision-Language Model AdaptationNoisy Labels

  58. How Far Do Foundation Models Transfer to Infant Signals? A Cross-Dataset Transfer Audit with a Unified Need Ontology

    Aug 10, 2026Wu HangyuCross-Dataset BenchmarkWeak Labels

  59. LASA: Language-and-Source-Anchored Alignment for Domain Generalized Semantic Segmentation

    Aug 9, 2026Jinhong Zhu, Weiqi Yan, Shengchuan Zhang +1Pseudo-LabelingNormalization

  60. Exact Rank and Convex Calibration Dimension Lower Bounds for the Multi-Label F1 Loss

    Aug 9, 2026Mingyuan ZhangMulti-Label ClassificationLoss Function