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Test Point Selections for a Programmable Gain Amplifier Using NIST and Wavelet Transform Methods., , and . ATS, page 230-238. IEEE, (2007)Multi-Labeled Relation Extraction with Attentive Capsule Network., , , and . AAAI, page 7484-7491. AAAI Press, (2019)Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks., , , and . CoRR, (2023)AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 421-435. Association for Computational Linguistics, (2021)Total Variation Regularization Based on Iteratively Reweighted Least-Squares Method for Electrical Resistance Tomography., , , , , and . IEEE Trans. Instrum. Meas., 69 (6): 3576-3586 (2020)Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation., , , , , , and . Sensors, 24 (6): 1815 (March 2024)Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25994-26009. PMLR, (2022)Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning., , , and . EMNLP, page 2195-2204. Association for Computational Linguistics, (2018)EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning., , , and . ACL (Findings), page 13899-13913. Association for Computational Linguistics, (2023)GAN Driven Semi-distant Supervision for Relation Extraction., , , and . NAACL-HLT (1), page 3026-3035. Association for Computational Linguistics, (2019)