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NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants.

, , , , and . DAC, page 1-6. IEEE, (2023)

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25566-25580. PMLR, (2022)DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks., , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 6849-6862. PMLR, (2022)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training., , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (10): 7099-7113 (October 2023)Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications., , , , , and . CoRR, (2024)Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks., , , , , , , , and . ICLR, OpenReview.net, (2020)Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?, , , , and . ICLR, OpenReview.net, (2022)InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks., , , , , , , , and . DAC, page 757-762. IEEE, (2021)DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency., , , , , , , and . ISLPED, page 1-6. IEEE, (2021)