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Adaptive-precision framework for SGD using deep Q-learning., , , , and . ICCAD, page 35. ACM, (2018)Fasor: A Fast Tensor Program Optimization Framework for Efficient DNN Deployment., , and . ICS, page 498-510. ACM, (2024)Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3469-3479. PMLR, (2021)FPGA-Based Real-Time Super-Resolution System for Ultra High Definition Videos., , , , and . FCCM, page 181-188. IEEE Computer Society, (2018)Learning to Maximize Mutual Information for Chain-of-Thought Distillation., , , , , and . CoRR, (2024)Multi-modal Learning for WebAssembly Reverse Engineering., and . CoRR, (2024)Ayudante: A Deep Reinforcement Learning Approach to Assist Persistent Memory Programming., , , , and . USENIX ATC, page 789-804. USENIX Association, (2021)Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition., , , , , , , , and . PACT, page 291-303. ACM, (2022)TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching., , , , , , , , , and 1 other author(s). ICCV, page 17107-17117. IEEE, (2023)Sibyl: Forecasting Time-Evolving Query Workloads., , , , , , , , and . Proc. ACM Manag. Data, 2 (1): 53:1-53:27 (February 2024)