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Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning., , , и . WISE, том 11881 из Lecture Notes in Computer Science, стр. 115-129. Springer, (2019)MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization., , , , и . ICPR, стр. 407-414. IEEE, (2020)Prototypical Networks for Small Footprint Text-Independent Speaker Verification., , и . ICASSP, стр. 6804-6808. IEEE, (2020)A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples., , и . Interspeech, стр. 4224-4228. ISCA, (2021)Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style Transfer., , , и . EMNLP (1), стр. 9250-9266. Association for Computational Linguistics, (2021)Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning., , , и . IJCNN, стр. 1-8. IEEE, (2020)An Investigation of Few-Shot Learning in Spoken Term Classification., , , , , и . INTERSPEECH, стр. 2582-2586. ISCA, (2020)Abstractive Summarization with the Aid of Extractive Summarization., , , и . APWeb/WAIM (1), том 10987 из Lecture Notes in Computer Science, стр. 3-15. Springer, (2018)Virtual Mixup Training for Unsupervised Domain Adaptation., , , , и . CoRR, (2019)Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation., и . EMNLP (Findings), стр. 922-933. Association for Computational Linguistics, (2022)