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HALO: Hardware-Aware Learning to Optimize., , , , and . ECCV (9), volume 12354 of Lecture Notes in Computer Science, page 500-518. Springer, (2020)SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training., , , , , , , , and . CoRR, (2021)DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference., , , , , , and . CoRR, (2021)Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI., , , , , , , , , and . CoRR, (2024)A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning., , , , and . DAC, page 13-18. IEEE, (2021)EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design., , , , , , , , , and 4 other author(s). ISCA, page 610-622. ACM, (2022)Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction., , , , , , , , and . ISCA, page 6:1-6:13. ACM, (2023)SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation., , , , , , , , and . ISCA, page 954-967. IEEE, (2020)RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering., , , , and . ICCAD, page 132:1-132:9. ACM, (2022)2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency., , , , and . MICRO, page 225-237. ACM, (2021)