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Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints.

, and . DATE, page 1-6. IEEE, (2023)

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Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints., and . DATE, page 1-6. IEEE, (2023)Synthesizing Play-Ready VR Scenes with Natural Language Prompts Through GPT API., and . ISVC (2), volume 14362 of Lecture Notes in Computer Science, page 15-26. Springer, (2023)Reliability-Aware Quantization for Anti-Aging NPUs., , , , , and . DATE, page 1460-1465. IEEE, (2021)The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference., and . HPSR, page 27-32. IEEE, (2023)TLTk: A Toolbox for Parallel Robustness Computation of Temporal Logic Specifications., , , and . RV, volume 12399 of Lecture Notes in Computer Science, page 404-416. Springer, (2020)Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration., , and . DATE, page 1673-1678. IEEE, (2021)Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems., , and . WF-IoT, page 1-6. IEEE, (2020)Fair Scheduling Through Collaborative Filtering on Multicore Systems., , and . ISCAS, page 1551-1555. IEEE, (2022)Positive/Negative Approximate Multipliers for DNN Accelerators., , , , and . ICCAD, page 1-9. IEEE, (2021)How much is too much error? Analyzing the impact of approximate multipliers on DNNs., and . ISQED, page 1-6. IEEE, (2022)