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PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.

, , , , and . ISQED, page 1-7. IEEE, (2023)

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Primal-dual method based simultaneous functional unit and register binding., , , , and . ASICON, page 1-4. IEEE, (2015)A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices., , , , , , and . CoRR, (2019)Extensible and Efficient Proxy for Neural Architecture Search., , , , , and . ICCV, page 6176-6187. IEEE, (2023)Hardware/Software Co-design for Machine Learning Accelerators., and . FCCM, page 233-235. IEEE, (2023)INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing., , , , , and . ICCAD, page 1-9. IEEE, (2023)Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices., , , , , , and . ACM Great Lakes Symposium on VLSI, page 283-290. ACM, (2020)Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation., , , , and . NeurIPS, (2022)Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks., , , , , and . DAC, page 1-6. IEEE, (2023)FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge., , , , , , , and . DAC, page 206. ACM, (2019)Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process., , and . ISQED, page 1-5. IEEE, (2024)