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InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.

, , , , , , , , and . DAC, page 757-762. IEEE, (2021)

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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)A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning., , , , and . DAC, page 13-18. IEEE, (2021)Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI., , , , , , , , , and . CoRR, (2024)EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design., , , , , , , , , and 4 other author(s). ISCA, page 610-622. ACM, (2022)INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors., , , , , and . ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 686-694. Springer, (2022)InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks., , , , , , , , and . DAC, page 757-762. IEEE, (2021)Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks., , , , , , , , and . ICLR, OpenReview.net, (2020)ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , , , , , and . HPCA, page 273-286. IEEE, (2023)Instant-NeRF: Instant On-Device Neural Radiance Field Training via Algorithm-Accelerator Co-Designed Near-Memory Processing., , , , , and . DAC, page 1-6. IEEE, (2023)DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures., , , , , and . ICASSP, page 1593-1597. IEEE, (2020)