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Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning., , , and . IEEE Trans. Medical Imaging, 42 (5): 1532-1545 (May 2023)New Intent Discovery with Pre-training and Contrastive Learning., , , , and . ACL (1), page 256-269. Association for Computational Linguistics, (2022)Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima., , , , and . NeurIPS, page 6747-6761. (2021)Study on Least Squares Support Vector Machines Algorithm and Its Application., , and . ICTAI, page 686-688. IEEE Computer Society, (2005)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)Fault Tolerant Control for Non-Gaussian Stochastic Distribution Systems., , and . CSSP, 32 (1): 361-373 (2013)Adaptation-Agnostic Meta-Training., , , and . CoRR, (2021)Variational Metric Scaling for Metric-Based Meta-Learning., , , and . CoRR, (2019)Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering., , , , , and . ISBI, page 1650-1654. IEEE, (2021)