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Learning with Different Amounts of Annotation: From Zero to Many Labels.

, , and . EMNLP (1), page 7620-7632. Association for Computational Linguistics, (2021)

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Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models., , and . EMNLP, page 3931-3943. Association for Computational Linguistics, (2022)AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling., , , and . CVPR, page 6418-6427. Computer Vision Foundation / IEEE, (2021)FlowGrad: Controlling the Output of Generative ODEs with Gradients., , , , , and . CVPR, page 24335-24344. IEEE, (2023)Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning., , , , , and . ICCAD, page 1-7. ACM, (2019)Improving Neural Language Modeling via Adversarial Training., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6555-6565. PMLR, (2019)ALLSH: Active Learning Guided by Local Sensitivity and Hardness., , , , , and . NAACL-HLT (Findings), page 1328-1342. Association for Computational Linguistics, (2022)AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence., , and . CVPR, page 13683-13692. Computer Vision Foundation / IEEE, (2021)Fast Point Cloud Generation with Straight Flows., , , , , , , , and . CVPR, page 9445-9454. IEEE, (2023)Topic medical concept embedding: Multi-sense representation learning for medical concept., , , , and . BIBM, page 404-409. IEEE Computer Society, (2017)How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7650-7664. PMLR, (2022)