Methods › Audio › Speech Recognition › IPL
Iterative Pseudo-Labeling
IPL
Introduced by Qiantong Xu et al. in Iterative Pseudo-Labeling for Speech Recognition
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Iterative Pseudo-Labeling (IPL) is a semi-supervised algorithm for speech recognition which efficiently performs multiple iterations of pseudo-labeling on unlabeled data as the acoustic model evolves. In particular, IPL fine tunes an existing model at each iteration using both labeled data and a subset of unlabeled data.
Papers archive 2025-07-28
17 shown of 17, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing 22 Oct 2024 · 0 repositories · arXiv:2410.16977
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FanCric : Multi-Agentic Framework for Crafting Fantasy 11 Cricket Teams 2 Oct 2024 · 0 repositories · arXiv:2410.01307
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Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels 16 Sep 2024 · 0 repositories · arXiv:2409.10791
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On the Role of Reflectarrays for Interplanetary Links 1 May 2024 · 0 repositories · arXiv:2405.00887
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Effective and anatomical connectivity of the dorso-central insula during the processing of action forms 22 Oct 2023 · 0 repositories · arXiv:2310.14213
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Nonparametric mixed logit model with market-level parameters estimated from market share data 22 Sep 2023 · 0 repositories · arXiv:2309.13159
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Inverse Preference Learning: Preference-based RL without a Reward Function 21 Sep 2023 · 0 repositories
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ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing 8 Sep 2023 · 0 repositories · arXiv:2309.04602
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Popularity Debiasing from Exposure to Interaction in Collaborative Filtering 9 May 2023 · 1 repository · arXiv:2305.05204
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Zero-shot Generative Model Adaptation via Image-specific Prompt Learning 6 Apr 2023 · 1 repository · arXiv:2304.03119Syntology ran 2 of 10 samples · 8 unverified
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A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning 11 Mar 2022 · 0 repositories · arXiv:2203.07075
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PL-Net: Progressive Learning Network for Medical Image Segmentation 27 Oct 2021 · 0 repositories · arXiv:2110.14484
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Prediction of IPL Match Outcome Using Machine Learning Techniques 30 Sep 2021 · 0 repositories · arXiv:2110.01395
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Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model 16 Aug 2021 · 0 repositories · arXiv:2108.07139
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Interactive Prototype Learning for Egocentric Action Recognition 1 Jan 2021 · 0 repositories
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SlimIPL: Language-Model-Free Iterative Pseudo-Labeling 22 Oct 2020 · 0 repositories · arXiv:2010.11524
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Iterative Pseudo-Labeling for Speech Recognition 19 May 2020 · 1 repository · arXiv:2005.09267
Tasks archive 2025-07-28
20 shown of 33 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections