Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...
Abstract: Binary relevance (BR) is a well-known framework for multi-label classification. It decomposes multi-label classification into binary (one-vs-rest) classification subproblems, one for each ...
[2] Structured Matrix Scaling for Multi-Class Calibration (see also: experiments) [3] A Variational Estimator for Lp Calibration Errors (see also all experiments) [4] CalArena: A Large-Scale Post-Hoc ...
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