Methods › Natural Language Processing › Word Embeddings › Cross-View Training
Cross-View Training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Cross View Training, or CVT, is a semi-supervised algorithm for training distributed word representations that makes use of unlabelled and labelled examples.
CVT adds k auxiliary prediction modules to the model, a Bi-LSTM encoder, which are used when learning on unlabeled examples. A prediction module is usually a small neural network (e.g., a hidden layer followed by a softmax layer). Each one takes as input an intermediate representation hʲ(xᵢ) produced by the model (e.g., the outputs of one of the LSTMs in a Bi-LSTM model). It outputs a distribution over labels pⱼ^θ(y|xᵢ).
Each hʲ is chosen such that it only uses a part of the input xᵢ; the particular choice can depend on the task and model architecture. The auxiliary prediction modules are only used during training; the test-time prediction come from the primary prediction module that produces p_θ.
Papers archive 2025-07-28
8 shown of 8, 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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Cross-View Graph Consistency Learning for Invariant Graph Representations 20 Nov 2023 · 1 repository · arXiv:2311.11821
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An Efficient Self-Supervised Cross-View Training For Sentence Embedding 6 Nov 2023 · 1 repository · arXiv:2311.03228
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Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification 29 Mar 2022 · 1 repository · arXiv:2203.15210
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Industry Scale Semi-Supervised Learning for Natural Language Understanding 29 Mar 2021 · 0 repositories · arXiv:2103.15871
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To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging 27 Oct 2020 · 0 repositories · arXiv:2010.14042
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Semi-Supervised Semantic Role Labeling with Cross-View Training 1 Nov 2019 · 0 repositories
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Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations 4 Aug 2019 · 0 repositories · arXiv:1908.01294
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Semi-Supervised Sequence Modeling with Cross-View Training 22 Sep 2018 · 2 repositories · arXiv:1809.08370
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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