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Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning.

, , , , , and . EMNLP (Findings), page 5750-5768. Association for Computational Linguistics, (2022)

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SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks., , , , , , , , , and . ACL (1), page 8906-8937. Association for Computational Linguistics, (2023)SLUE: New Benchmark Tasks For Spoken Language Understanding Evaluation on Natural Speech., , , , , , and . ICASSP, page 7927-7931. IEEE, (2022)Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning., , , , , and . EMNLP (Findings), page 5750-5768. Association for Computational Linguistics, (2022)Taskology: Utilizing Task Relations at Scale., , , , , , , , and . CVPR, page 8700-8709. Computer Vision Foundation / IEEE, (2021)What Do Self-Supervised Speech Models Know About Words?, , , and . Trans. Assoc. Comput. Linguistics, (2024)Layer-Wise Analysis of a Self-Supervised Speech Representation Model., , and . ASRU, page 914-921. IEEE, (2021)On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval., , , and . INTERSPEECH, page 4195-4199. ISCA, (2019)Comparative Layer-Wise Analysis of Self-Supervised Speech Models., , and . ICASSP, page 1-5. IEEE, (2023)On the Use of External Data for Spoken Named Entity Recognition., , , , and . NAACL-HLT, page 724-737. Association for Computational Linguistics, (2022)Voice activity detection for children's read speech recognition in noisy conditions., , and . NCC, page 1-6. IEEE, (2017)