{"url":"/task/hardware-aware-neural-architecture-search","name":"Hardware Aware Neural Architecture Search","slug":"hardware-aware-neural-architecture-search","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":37,"papers_with_code":12,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/visual-wake-words","name":"Visual Wake Words","full_name":"","num_papers_in_archive":40}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":12,"of":12,"tagged_in_all":37,"items":[{"url":"/paper/optimizing-edge-ai-models-on-hpc-systems-with","title":"Optimizing edge AI models on HPC systems with the edge in the loop","date":"2025-05-26","arxiv_id":"2505.19995","repositories_listed":1,"syntology":null},{"url":"/paper/2505-10607","title":"MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices","date":"2025-05-15","arxiv_id":"2505.10607","repositories_listed":1,"syntology":{"n":6,"n_ran":0,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/tinytnas-gpu-free-time-bound-hardware-aware","title":"TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification","date":"2024-08-29","arxiv_id":"2408.16535","repositories_listed":1,"syntology":null},{"url":"/paper/a-multi-objective-optimization-benchmark-test","title":"A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation","date":"2024-04-25","arxiv_id":"2404.16266","repositories_listed":1,"syntology":null},{"url":"/paper/on-latency-predictors-for-neural-architecture","title":"On Latency Predictors for Neural Architecture Search","date":"2024-03-04","arxiv_id":"2403.02446","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":2}},{"url":"/paper/colab-nas-obtaining-lightweight-task-specific","title":"Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor","date":"2022-12-15","arxiv_id":"2212.07700","repositories_listed":1,"syntology":null},{"url":"/paper/entropy-driven-mixed-precision-quantization","title":"Entropy-Driven Mixed-Precision Quantization for Deep Network Design","date":"2022-11-28","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/u-boost-nas-utilization-boosted-1","title":"U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search","date":"2022-03-23","arxiv_id":"2203.12412","repositories_listed":1,"syntology":null},{"url":"/paper/one-proxy-device-is-enough-for-hardware-aware","title":"One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search","date":"2021-11-01","arxiv_id":"2111.01203","repositories_listed":1,"syntology":null},{"url":"/paper/hw-nas-bench-hardware-aware-neural-1","title":"HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark","date":"2021-03-19","arxiv_id":"2103.10584","repositories_listed":1,"syntology":null},{"url":"/paper/work-in-progress-a-deep-learning-strategy-for","title":"Work-in-progress: a deep learning strategy for I/O scheduling in storage systems","date":"2019-12-03","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/hardware-aware-one-shot-neural-architecture-1","title":"Fast Hardware-Aware Neural Architecture Search","date":"2019-10-25","arxiv_id":"1910.11609","repositories_listed":1,"syntology":null}],"syntology_records":2,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}