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Showing 1 to 3 of 3 for “"Pseudo Labeling"”.

  1. Towards Label-Efficient Learning: Exploiting Limited Labels and Abundant Unlabeled Data

    … (1) JointMatch, which employs collaborative pseudo-labeling to leverage limited labeled examples together with extensive unlabeled datasets for semi-supervised text classification; (2) TestNUC, which improves the test-time performance of large language models (LLMs) by leveraging neighboring …

    uic

  2. Integrated Predictive Modeling and Analytics for Crisis Management

    … planning. EAGLE leverages LLMs for zero-shot pseudo-labeling and zero-shot text classification, to enhance the processing of customer reviews without the biases of manual labeling. This approach streamlines data analysis, and refines decision-making processes which allows airlines to align …

    vt Repository record for Integrated Predictive Modeling and Analytics for Crisis Management (opens in a new tab)

  3. Label-Efficient Visual Understanding with Consistency Constraints

    … rendering the challenge of scaling up human labeling for many visual tasks. Fortunately, it is easy to collect large-scale, diverse unlabeled visual data from the Internet. And we can acquire a large amount of synthetic visual data with annotations from game engines effortlessly. In this …

    vt Repository record for Label-Efficient Visual Understanding with Consistency Constraints (opens in a new tab)