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A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning.

, , , , and . DAC, page 13-18. IEEE, (2021)

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks., , , and . CoRR, (2024)EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design., , , , , , , , , and 4 other author(s). IEEE Micro, 43 (4): 88-97 (July 2023)Kernel Quantization for Efficient Network Compression., , , and . CoRR, (2020)Exploiting Partially Annotated Data in Temporal Relation Extraction., , , and . *SEM@NAACL-HLT, page 148-153. Association for Computational Linguistics, (2018)Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing., , , , , , and . NeurIPS, (2022)NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants., , , , and . DAC, page 1-6. IEEE, (2023)Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning., , , , and . CoRR, (2023)EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting., , , , , , , , and . CoRR, (2024)