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A Closer Look at Few-Shot Out-of-Distribution Intent Detection.

, , , , and . COLING, page 451-460. International Committee on Computational Linguistics, (2022)

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A Scalable Photonic Computer Solving the Subset Sum Problem., , , , , , , , and . CoRR, (2020)Effectiveness of Pre-training for Few-shot Intent Classification., , , , , , and . EMNLP (Findings), page 1114-1120. Association for Computational Linguistics, (2021)Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training., , , , and . ACL (Findings), page 11105-11121. Association for Computational Linguistics, (2023)Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training., , , , , and . ACL/IJCNLP (1), page 3521-3532. Association for Computational Linguistics, (2021)Medical Visual Question Answering via Conditional Reasoning., , , , and . ACM Multimedia, page 2345-2354. ACM, (2020)VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection., , and . CoRR, (2024)Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization., , , , , , and . NAACL-HLT, page 532-542. Association for Computational Linguistics, (2022)A Closer Look at Few-Shot Out-of-Distribution Intent Detection., , , , and . COLING, page 451-460. International Committee on Computational Linguistics, (2022)VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection., , and . LREC/COLING, page 17371-17383. ELRA and ICCL, (2024)Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima., , , , and . NeurIPS, page 6747-6761. (2021)