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cs.LG2025
Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training
Xuanyu Zhuang, Geoffroy Peeters, Gaël Richard
In few-shot classification tasks (so-called episodes), a small set of labeled support samples is provided during inference to aid the classification of unlabeled query samples. Met…
cs.LG2021★ 14 cited
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…