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Shredder: Learning Noise Distributions to Protect Inference Privacy.

, , , , , and . ASPLOS, page 3-18. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..

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Towards Breaking the Memory Bandwidth Wall Using Approximate Value Prediction., , , , and . Approximate Circuits, Springer, (2019)Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation., , and . CoRR, (2019)Machine Learning Acceleration., and . IEEE Micro, 39 (5): 6-7 (2019)AxBench: A Multiplatform Benchmark Suite for Approximate Computing., , , and . IEEE Des. Test, 34 (2): 60-68 (2017)Domain-Specific Computational Storage for Serverless Computing., , , , , , , , , and 1 other author(s). CoRR, (2023)Conscious AI., and . CoRR, (2021)In-DRAM near-data approximate acceleration for GPUs., , , , , and . PACT, page 34:1-34:14. ACM, (2018)Test Instruction Set (TIS) for High Level Self-Testing of CPU Cores., , and . Asian Test Symposium, page 158-163. IEEE Computer Society, (2004)AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing., , , , and . ASPLOS, page 623-636. ACM, (2016)A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks., , , , , , , , , and . MICRO, page 175-188. IEEE Computer Society, (2018)