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EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.

, , , , , , , , , , , , , and . IEEE Micro, 43 (4): 88-97 (July 2023)

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)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)Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications., , , , , and . CoRR, (2024)SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training., , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (10): 7099-7113 (October 2023)e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM., , , , , , , , , and 3 other author(s). CoRR, (2022)Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference., , , , , and . AAAI, page 5700-5708. AAAI Press, (2020)A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning., , , , and . DAC, page 13-18. IEEE, (2021)AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3292-3303. PMLR, (2020)