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Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs., , , , , and . ICASSP, page 1-5. IEEE, (2023)A Hardware-Aware System for Accelerating Deep Neural Network Optimization., , , , , , and . CoRR, (2022)Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT., , , and . CoRR, (2023)Compact Scene Graphs for Layout Composition and Patch Retrieval., , , and . CVPR Workshops, page 676-683. Computer Vision Foundation / IEEE, (2019)FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness., , , and . WACV, page 2348-2357. IEEE, (2023)A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities., , , , , and . CoRR, (2022)Logic2Text: High-Fidelity Natural Language Generation from Logical Forms., , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2096-2111. Association for Computational Linguistics, (2020)RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks., , , , , , , , and . CoRR, (2020)Attention-based Image Upsampling., , , and . CoRR, (2020)AttentionLite: Towards Efficient Self-Attention Models for Vision., and . ICASSP, page 2225-2229. IEEE, (2021)