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SeFAct: selective feature activation and early classification for CNNs., , , , , and . ASP-DAC, page 487-492. ACM, (2019)A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network., and . ISVLSI, page 685-690. IEEE Computer Society, (2016)VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis., , , , , , , , , and 6 other author(s). ICCAD, page 1-7. IEEE, (2021)Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification., and . IJCNN, page 955-962. IEEE, (2016)An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators., , , , , , , , , and 1 other author(s). CoRR, (2023)NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients., , and . IEEE Trans. Very Large Scale Integr. Syst., 28 (8): 1844-1857 (2020)Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms., , , , , , , , , and 1 other author(s). MLCAD, page 119-126. ACM / IEEE, (2022)GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching., , , and . CoRR, (2021)Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators., , , , , , and . ASP-DAC, page 475-482. ACM, (2023)SeFAct2: Selective Feature Activation for Energy-Efficient CNNs Using Optimized Thresholds., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 40 (7): 1423-1436 (2021)