Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)
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Updated
May 28, 2020 - Python
Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)
A Python text classifier for large-scale multi-class classification using Amazon Bedrock. Supports classification of 1000+ classes with LLM reranking and attribute validation.
Zero/few-shot learning for classification with very large label sets and long-tailed distribution of labels in data points
Large-Scale text analysis using generative language models: A case study in discovering public value expressions in AI patents. Code and data.
Classify, cluster, and extract data using structured LLM outputs with validated models, consensus voting, and multithreading for efficient batch processing.
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