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FlowGrad: Controlling the Output of Generative ODEs with Gradients., , , , , and . CVPR, page 24335-24344. IEEE, (2023)AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling., , , and . CVPR, page 6418-6427. Computer Vision Foundation / IEEE, (2021)Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning., , , , , and . ICCAD, page 1-7. ACM, (2019)Switchable Decision: Dynamic Neural Generation Networks., , , , and . ICML, OpenReview.net, (2024)Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models., , and . EMNLP, page 3931-3943. Association for Computational Linguistics, (2022)MaxUp: A Simple Way to Improve Generalization of Neural Network Training., , , and . CoRR, (2020)Sentence-Wise Smooth Regularization for Sequence to Sequence Learning., , , and . AAAI, page 6449-6456. AAAI Press, (2019)MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training., , , and . CVPR, page 2474-2483. Computer Vision Foundation / IEEE, (2021)Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach., , and . NeurIPS, page 29630-29642. (2021)Deep Dynamic Poisson Factorization Model., and . NIPS, page 1666-1674. (2017)