{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/architecture-search/papers/3","list_of":"/task/architecture-search","task":"Neural Architecture Search","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":3,"pages_in_order":20,"rows_per_page":100,"rows":[201,300],"of":1915,"counts":{"archive_papers_tagged":1915,"with_a_code_link":859,"where_syntology_ran_a_sample":243,"not_listed_spam_title":0,"listed":1915,"listed_where_code_ran":243,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":204,"every_run_a_failure_of_syntologys_instrument":39,"listed_with_a_run_with_no_instrument_failure":204,"listed_every_run_a_failure_of_syntologys_instrument":39,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/architecture-search","prev":"/task/architecture-search/papers/2","next":"/task/architecture-search/papers/4","papers":[{"url":"/paper/swat-nn-simultaneous-weights-and-architecture","slug":"swat-nn-simultaneous-weights-and-architecture","title":"SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space","date":"2025-06-09","arxiv_id":"2506.08270","repositories_listed":1,"syntology":null},{"url":"/paper/structured-pruning-and-quantization-for","slug":"structured-pruning-and-quantization-for","title":"Structured Pruning and Quantization for Learned Image Compression","date":"2025-06-02","arxiv_id":"2506.01229","repositories_listed":1,"syntology":null},{"url":"/paper/gibbs-randomness-compression-proposition-an","slug":"gibbs-randomness-compression-proposition-an","title":"Gibbs randomness-compression proposition: An efficient deep learning","date":"2025-05-29","arxiv_id":"2505.23869","repositories_listed":1,"syntology":null},{"url":"/paper/optimizing-edge-ai-models-on-hpc-systems-with","slug":"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","slug":"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":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/2505-10607#ran","syntology_url":"https://syntology.ai/paper/2505.10607","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.10607"}},"official":{"repos":["kaist-dmlab/monaq"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/differentiable-channel-selection-in-self","slug":"differentiable-channel-selection-in-self","title":"Differentiable Channel Selection in Self-Attention For Person Re-Identification","date":"2025-05-13","arxiv_id":"2505.08961","repositories_listed":1,"syntology":null},{"url":"/paper/a-transformer-based-neural-architecture","slug":"a-transformer-based-neural-architecture","title":"A Transformer-based Neural Architecture Search Method","date":"2025-05-02","arxiv_id":"2505.01314","repositories_listed":1,"syntology":null},{"url":"/paper/abg-nas-adaptive-bayesian-genetic-neural","slug":"abg-nas-adaptive-bayesian-genetic-neural","title":"ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning","date":"2025-04-30","arxiv_id":"2504.21254","repositories_listed":1,"syntology":null},{"url":"/paper/w-pca-based-gradient-free-proxy-for-efficient","slug":"w-pca-based-gradient-free-proxy-for-efficient","title":"W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models","date":"2025-04-22","arxiv_id":"2504.15983","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/w-pca-based-gradient-free-proxy-for-efficient#ran","syntology_url":"https://syntology.ai/paper/2504.15983","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2504.15983"}},"official":{"repos":["ra225/w-pca"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/offline-model-based-optimization","slug":"offline-model-based-optimization","title":"Offline Model-Based Optimization: Comprehensive Review","date":"2025-03-21","arxiv_id":"2503.17286","repositories_listed":1,"syntology":null},{"url":"/paper/architecture-aware-minimization-a-2-m-how-to","slug":"architecture-aware-minimization-a-2-m-how-to","title":"Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search","date":"2025-03-13","arxiv_id":"2503.10404","repositories_listed":1,"syntology":null},{"url":"/paper/zo-darts-an-efficient-and-size-variable","slug":"zo-darts-an-efficient-and-size-variable","title":"ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm","date":"2025-03-08","arxiv_id":"2503.06092","repositories_listed":1,"syntology":null},{"url":"/paper/ul-unas-ultra-lightweight-u-nets-for-real","slug":"ul-unas-ultra-lightweight-u-nets-for-real","title":"UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Search","date":"2025-03-01","arxiv_id":"2503.00340","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-global-neural-architecture-search","slug":"efficient-global-neural-architecture-search","title":"Efficient Global Neural Architecture Search","date":"2025-02-08","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/training-free-neural-architecture-search","slug":"training-free-neural-architecture-search","title":"Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights","date":"2025-02-07","arxiv_id":"2502.04975","repositories_listed":1,"syntology":{"n":13,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":11,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":13,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 11 unverified","sample_list":"/paper/training-free-neural-architecture-search#ran","syntology_url":"https://syntology.ai/paper/2502.04975","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.04975"}},"official":{"repos":["ondratybl/vkdnw"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":11,"ran_from_kinds":["official"]}}},{"url":"/paper/low-rank-adapters-meet-neural-architecture","slug":"low-rank-adapters-meet-neural-architecture","title":"Low-Rank Adapters Meet Neural Architecture Search for LLM Compression","date":"2025-01-23","arxiv_id":"2501.16372","repositories_listed":1,"syntology":null},{"url":"/paper/supersam-crafting-a-sam-supernetwork-via","slug":"supersam-crafting-a-sam-supernetwork-via","title":"SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization","date":"2025-01-15","arxiv_id":"2501.08504","repositories_listed":1,"syntology":null},{"url":"/paper/automated-heterogeneous-network-learning-with","slug":"automated-heterogeneous-network-learning-with","title":"Automated Heterogeneous Network learning with Non-Recursive Message Passing","date":"2025-01-10","arxiv_id":"2501.07598","repositories_listed":1,"syntology":null},{"url":"/paper/neural-architecture-codesign-for-fast-physics","slug":"neural-architecture-codesign-for-fast-physics","title":"Neural Architecture Codesign for Fast Physics Applications","date":"2025-01-09","arxiv_id":"2501.05515","repositories_listed":1,"syntology":null},{"url":"/paper/vision-transformer-neural-architecture-search","slug":"vision-transformer-neural-architecture-search","title":"Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights","date":"2025-01-07","arxiv_id":"2501.03782","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/vision-transformer-neural-architecture-search#ran","syntology_url":"https://syntology.ai/paper/2501.03782","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.03782"}},"official":{"repos":["vovantuan1999a/OoD-ViT-NAS"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/tart-token-based-architecture-transformer-for","slug":"tart-token-based-architecture-transformer-for","title":"TART: Token-based Architecture Transformer for Neural Network Performance Prediction","date":"2025-01-02","arxiv_id":"2501.02007","repositories_listed":1,"syntology":null},{"url":"/paper/revisiting-multimodal-fusion-for-3d-anomaly","slug":"revisiting-multimodal-fusion-for-3d-anomaly","title":"Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective","date":"2024-12-23","arxiv_id":"2412.17297","repositories_listed":1,"syntology":null},{"url":"/paper/autosgnn-automatic-propagation-mechanism","slug":"autosgnn-automatic-propagation-mechanism","title":"AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks","date":"2024-12-17","arxiv_id":"2412.12483","repositories_listed":1,"syntology":null},{"url":"/paper/pasta-neural-architecture-search-for-anomaly","slug":"pasta-neural-architecture-search-for-anomaly","title":"PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series","date":"2024-12-09","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/sa-gnas-seed-architecture-expansion-for","slug":"sa-gnas-seed-architecture-expansion-for","title":"SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search","date":"2024-12-03","arxiv_id":"2412.02196","repositories_listed":1,"syntology":null},{"url":"/paper/knowledge-aware-evolutionary-graph-neural","slug":"knowledge-aware-evolutionary-graph-neural","title":"Knowledge-aware Evolutionary Graph Neural Architecture Search","date":"2024-11-26","arxiv_id":"2411.17339","repositories_listed":1,"syntology":null},{"url":"/paper/fusion-matters-learning-fusion-in-deep-click","slug":"fusion-matters-learning-fusion-in-deep-click","title":"Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models","date":"2024-11-24","arxiv_id":"2411.15731","repositories_listed":1,"syntology":null},{"url":"/paper/greenmachine-automatic-design-of-zero-cost","slug":"greenmachine-automatic-design-of-zero-cost","title":"GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS","date":"2024-11-22","arxiv_id":"2411.15290","repositories_listed":1,"syntology":null},{"url":"/paper/data-to-model-distillation-data-efficient","slug":"data-to-model-distillation-data-efficient","title":"Data-to-Model Distillation: Data-Efficient Learning Framework","date":"2024-11-19","arxiv_id":"2411.12841","repositories_listed":1,"syntology":null},{"url":"/paper/customized-subgraph-selection-and-encoding","slug":"customized-subgraph-selection-and-encoding","title":"Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction","date":"2024-11-03","arxiv_id":"2411.01535","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":2,"n_no_contract":2,"n_pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 2 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/customized-subgraph-selection-and-encoding#ran","syntology_url":"https://syntology.ai/paper/2411.01535","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.01535"}},"official":{"repos":["LARS-research/CSSE-DDI"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/on-the-adversarial-transferability-of-1","slug":"on-the-adversarial-transferability-of-1","title":"On the Adversarial Transferability of Generalized \"Skip Connections\"","date":"2024-10-11","arxiv_id":"2410.08950","repositories_listed":1,"syntology":null},{"url":"/paper/simultaneous-weight-and-architecture","slug":"simultaneous-weight-and-architecture","title":"Simultaneous Weight and Architecture Optimization for Neural Networks","date":"2024-10-10","arxiv_id":"2410.08339","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/simultaneous-weight-and-architecture#ran","syntology_url":"https://syntology.ai/paper/2410.08339","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.08339"}},"official":{"repos":["zitonghuangcynthia/Simultaneous-Weight-and-Architecture-Optimization"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/automating-data-science-pipelines-with-tensor","slug":"automating-data-science-pipelines-with-tensor","title":"Automating Data Science Pipelines with Tensor Completion","date":"2024-10-08","arxiv_id":"2410.06408","repositories_listed":1,"syntology":{"n":16,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":11,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":16,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 11 unverified","sample_list":"/paper/automating-data-science-pipelines-with-tensor#ran","syntology_url":"https://syntology.ai/paper/2410.06408","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.06408"}},"official":{"repos":["shaanpakala/stc_automl"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":11,"ran_from_kinds":["official"]}}},{"url":"/paper/the-ocon-model-an-old-but-gold-solution-for","slug":"the-ocon-model-an-old-but-gold-solution-for","title":"The OCON model: an old but gold solution for distributable supervised classification","date":"2024-10-05","arxiv_id":"2410.05320","repositories_listed":1,"syntology":null},{"url":"/paper/lightweight-neural-architecture-search-for-1","slug":"lightweight-neural-architecture-search-for-1","title":"Lightweight Neural Architecture Search for Cerebral Palsy Detection","date":"2024-09-30","arxiv_id":"2409.20060","repositories_listed":1,"syntology":null},{"url":"/paper/rnc-efficient-rram-aware-nas-and-compilation","slug":"rnc-efficient-rram-aware-nas-and-compilation","title":"RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices","date":"2024-09-27","arxiv_id":"2409.18841","repositories_listed":1,"syntology":null},{"url":"/paper/investigating-the-impact-of-hard-samples-on","slug":"investigating-the-impact-of-hard-samples-on","title":"Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance","date":"2024-09-22","arxiv_id":"2409.14401","repositories_listed":1,"syntology":null},{"url":"/paper/ostr-darts-differentiable-neural-architecture","slug":"ostr-darts-differentiable-neural-architecture","title":"OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength","date":"2024-09-22","arxiv_id":"2409.14433","repositories_listed":1,"syntology":null},{"url":"/paper/utilizing-data-fingerprints-for-privacy","slug":"utilizing-data-fingerprints-for-privacy","title":"Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets","date":"2024-09-13","arxiv_id":"2409.08636","repositories_listed":1,"syntology":null},{"url":"/paper/more-fine-tuning-with-10x-fewer-parameters","slug":"more-fine-tuning-with-10x-fewer-parameters","title":"MoRe Fine-Tuning with 10x Fewer Parameters","date":"2024-08-30","arxiv_id":"2408.17383","repositories_listed":1,"syntology":null},{"url":"/paper/tinytnas-gpu-free-time-bound-hardware-aware","slug":"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/nas-bnn-neural-architecture-search-for-binary","slug":"nas-bnn-neural-architecture-search-for-binary","title":"NAS-BNN: Neural Architecture Search for Binary Neural Networks","date":"2024-08-28","arxiv_id":"2408.15484","repositories_listed":1,"syntology":null},{"url":"/paper/design-principle-transfer-in-neural","slug":"design-principle-transfer-in-neural","title":"Design Principle Transfer in Neural Architecture Search via Large Language Models","date":"2024-08-21","arxiv_id":"2408.11330","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/design-principle-transfer-in-neural#ran","syntology_url":"https://syntology.ai/paper/2408.11330","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2408.11330"}},"official":{"repos":["milkmilk511/lapt"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/near-a-training-free-pre-estimator-of-machine","slug":"near-a-training-free-pre-estimator-of-machine","title":"NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance","date":"2024-08-16","arxiv_id":"2408.08776","repositories_listed":1,"syntology":null},{"url":"/paper/salnas-efficient-saliency-prediction-neural","slug":"salnas-efficient-saliency-prediction-neural","title":"SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation","date":"2024-07-29","arxiv_id":"2407.20062","repositories_listed":1,"syntology":null},{"url":"/paper/behaviour-distillation","slug":"behaviour-distillation","title":"Behaviour Distillation","date":"2024-06-21","arxiv_id":"2406.15042","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/behaviour-distillation#ran","syntology_url":"https://syntology.ai/paper/2406.15042","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.15042"}},"official":{"repos":["flairox/behaviour-distillation"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/large-language-model-assisted-adversarial","slug":"large-language-model-assisted-adversarial","title":"Large Language Model Assisted Adversarial Robustness Neural Architecture Search","date":"2024-06-08","arxiv_id":"2406.05433","repositories_listed":1,"syntology":null},{"url":"/paper/combinatorial-optimization-with-automated","slug":"combinatorial-optimization-with-automated","title":"Combinatorial Optimization with Automated Graph Neural Networks","date":"2024-06-05","arxiv_id":"2406.02872","repositories_listed":1,"syntology":null},{"url":"/paper/cap-a-context-aware-neural-predictor-for-nas","slug":"cap-a-context-aware-neural-predictor-for-nas","title":"CAP: A Context-Aware Neural Predictor for NAS","date":"2024-06-04","arxiv_id":"2406.02056","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"0 ran · 1 unverified","sample_list":"/paper/cap-a-context-aware-neural-predictor-for-nas#ran","syntology_url":"https://syntology.ai/paper/2406.02056","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.02056"}},"official":{"repos":["jihan4431/CAP"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/einspace-searching-for-neural-architectures","slug":"einspace-searching-for-neural-architectures","title":"einspace: Searching for Neural Architectures from Fundamental Operations","date":"2024-05-31","arxiv_id":"2405.20838","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/einspace-searching-for-neural-architectures#ran","syntology_url":"https://syntology.ai/paper/2405.20838","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.20838"}},"official":{"repos":["linusericsson/einspace"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/differentiable-model-scaling-using","slug":"differentiable-model-scaling-using","title":"Differentiable Model Scaling using Differentiable Topk","date":"2024-05-12","arxiv_id":"2405.07194","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/differentiable-model-scaling-using#ran","syntology_url":"https://syntology.ai/paper/2405.07194","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.07194"}},"official":{"repos":["LKJacky/Differentiable-Model-Scaling"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/aux-nas-exploiting-auxiliary-labels-with","slug":"aux-nas-exploiting-auxiliary-labels-with","title":"Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost","date":"2024-05-09","arxiv_id":"2405.05695","repositories_listed":1,"syntology":{"n":15,"n_ran":13,"n_constructed":1,"n_ran_checked":8,"n_instrument":5,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":15,"phrase":"13 ran (of which 1 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/aux-nas-exploiting-auxiliary-labels-with#ran","syntology_url":"https://syntology.ai/paper/2405.05695","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.05695"}},"official":{"repos":["ethanygao/aux-nas"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":1,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/implantable-adaptive-cells-differentiable","slug":"implantable-adaptive-cells-differentiable","title":"Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped network","date":"2024-05-06","arxiv_id":"2405.03420","repositories_listed":1,"syntology":null},{"url":"/paper/after-attention-based-fusion-router-for-rgbt","slug":"after-attention-based-fusion-router-for-rgbt","title":"AFter: Attention-based Fusion Router for RGBT Tracking","date":"2024-05-04","arxiv_id":"2405.02717","repositories_listed":1,"syntology":null},{"url":"/paper/structural-pruning-of-pre-trained-language","slug":"structural-pruning-of-pre-trained-language","title":"Structural Pruning of Pre-trained Language Models via Neural Architecture Search","date":"2024-05-03","arxiv_id":"2405.02267","repositories_listed":1,"syntology":null},{"url":"/paper/atom-attention-mixer-for-efficient-dataset","slug":"atom-attention-mixer-for-efficient-dataset","title":"ATOM: Attention Mixer for Efficient Dataset Distillation","date":"2024-05-02","arxiv_id":"2405.01373","repositories_listed":1,"syntology":null},{"url":"/paper/csco-connectivity-search-of-convolutional","slug":"csco-connectivity-search-of-convolutional","title":"CSCO: Connectivity Search of Convolutional Operators","date":"2024-04-26","arxiv_id":"2404.17152","repositories_listed":1,"syntology":null},{"url":"/paper/a-multi-objective-optimization-benchmark-test","slug":"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/surprisingly-strong-performance-prediction","slug":"surprisingly-strong-performance-prediction","title":"Surprisingly Strong Performance Prediction with Neural Graph Features","date":"2024-04-25","arxiv_id":"2404.16551","repositories_listed":1,"syntology":{"n":22,"n_ran":19,"n_constructed":0,"n_ran_checked":19,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":19,"n_pointer_only":0,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 0 violated, 19 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/surprisingly-strong-performance-prediction#ran","syntology_url":"https://syntology.ai/paper/2404.16551","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.16551"}},"official":{"repos":["gabikadlecova/zc_combine"],"state":"official (archive's flag): 19 ran","n_ran":19,"n_constructed":0,"n_ran_no_instrument_failure":19,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/fr-nas-forward-and-reverse-graph-predictor","slug":"fr-nas-forward-and-reverse-graph-predictor","title":"FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search","date":"2024-04-24","arxiv_id":"2404.15622","repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-domain-adaptation-architecture","slug":"unsupervised-domain-adaptation-architecture","title":"Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping","date":"2024-04-23","arxiv_id":"2404.14704","repositories_listed":1,"syntology":null},{"url":"/paper/shears-unstructured-sparsity-with-neural-low","slug":"shears-unstructured-sparsity-with-neural-low","title":"Shears: Unstructured Sparsity with Neural Low-rank Adapter Search","date":"2024-04-16","arxiv_id":"2404.10934","repositories_listed":1,"syntology":{"n":10,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/shears-unstructured-sparsity-with-neural-low#ran","syntology_url":"https://syntology.ai/paper/2404.10934","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.10934"}},"official":{"repos":["intellabs/hardware-aware-automated-machine-learning"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/accel-nasbench-sustainable-benchmarking-for","slug":"accel-nasbench-sustainable-benchmarking-for","title":"Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS","date":"2024-04-09","arxiv_id":"2404.08005","repositories_listed":1,"syntology":null},{"url":"/paper/insights-from-the-use-of-previously-unseen","slug":"insights-from-the-use-of-previously-unseen","title":"Insights from the Use of Previously Unseen Neural Architecture Search Datasets","date":"2024-04-02","arxiv_id":"2404.02189","repositories_listed":1,"syntology":null},{"url":"/paper/neural-architecture-search-for-sentence","slug":"neural-architecture-search-for-sentence","title":"Neural Architecture Search for Sentence Classification with BERT","date":"2024-03-27","arxiv_id":"2403.18547","repositories_listed":1,"syntology":null},{"url":"/paper/on-spectrogram-analysis-in-a-multiple","slug":"on-spectrogram-analysis-in-a-multiple","title":"On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency","date":"2024-03-27","arxiv_id":"2403.18402","repositories_listed":1,"syntology":null},{"url":"/paper/pnas-mot-multi-modal-object-tracking-with","slug":"pnas-mot-multi-modal-object-tracking-with","title":"PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search","date":"2024-03-23","arxiv_id":"2403.15712","repositories_listed":1,"syntology":null},{"url":"/paper/emodarts-joint-optimisation-of-cnn-sequential","slug":"emodarts-joint-optimisation-of-cnn-sequential","title":"emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition","date":"2024-03-21","arxiv_id":"2403.14083","repositories_listed":1,"syntology":null},{"url":"/paper/building-optimal-neural-architectures-using","slug":"building-optimal-neural-architectures-using","title":"Building Optimal Neural Architectures using Interpretable Knowledge","date":"2024-03-20","arxiv_id":"2403.13293","repositories_listed":1,"syntology":null},{"url":"/paper/boosting-order-preserving-and-transferability","slug":"boosting-order-preserving-and-transferability","title":"Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach","date":"2024-03-18","arxiv_id":"2403.11380","repositories_listed":1,"syntology":null},{"url":"/paper/multi-objective-evolutionary-neural","slug":"multi-objective-evolutionary-neural","title":"Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks","date":"2024-03-17","arxiv_id":"2403.11173","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-multiplayer-battle-game-optimizer","slug":"efficient-multiplayer-battle-game-optimizer","title":"Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search","date":"2024-03-15","arxiv_id":"2403.10100","repositories_listed":1,"syntology":null},{"url":"/paper/spoken-100-a-cross-lingual-benchmarking","slug":"spoken-100-a-cross-lingual-benchmarking","title":"SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages","date":"2024-03-14","arxiv_id":"2403.09753","repositories_listed":1,"syntology":null},{"url":"/paper/robustifying-and-boosting-training-free","slug":"robustifying-and-boosting-training-free","title":"Robustifying and Boosting Training-Free Neural Architecture Search","date":"2024-03-12","arxiv_id":"2403.07591","repositories_listed":1,"syntology":{"n":15,"n_ran":9,"n_constructed":0,"n_ran_checked":6,"n_instrument":3,"n_unverified":6,"n_honours":2,"n_violates":2,"n_no_contract":2,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 2 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/robustifying-and-boosting-training-free#ran","syntology_url":"https://syntology.ai/paper/2403.07591","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07591"}},"official":{"repos":["hzf1174/robot"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/multi-conditioned-graph-diffusion-for-neural","slug":"multi-conditioned-graph-diffusion-for-neural","title":"Multi-conditioned Graph Diffusion for Neural Architecture Search","date":"2024-03-09","arxiv_id":"2403.06020","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":3,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/multi-conditioned-graph-diffusion-for-neural#ran","syntology_url":"https://syntology.ai/paper/2403.06020","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06020"}},"official":{"repos":["rohanasthana/dinas"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/ectonas-evolutionary-cross-topology-neural","slug":"ectonas-evolutionary-cross-topology-neural","title":"ECToNAS: Evolutionary Cross-Topology Neural Architecture Search","date":"2024-03-08","arxiv_id":"2403.05123","repositories_listed":1,"syntology":null},{"url":"/paper/swap-nas-sample-wise-activation-patterns-for","slug":"swap-nas-sample-wise-activation-patterns-for","title":"SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS","date":"2024-03-07","arxiv_id":"2403.04161","repositories_listed":1,"syntology":null},{"url":"/paper/encodings-for-prediction-based-neural","slug":"encodings-for-prediction-based-neural","title":"Encodings for Prediction-based Neural Architecture Search","date":"2024-03-04","arxiv_id":"2403.02484","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":1,"n_pointer_only":4,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/encodings-for-prediction-based-neural#ran","syntology_url":"https://syntology.ai/paper/2403.02484","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.02484"}},"official":{"repos":["abdelfattah-lab/flan_nas"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/nash-neural-architecture-search-for-hardware","slug":"nash-neural-architecture-search-for-hardware","title":"NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models","date":"2024-03-04","arxiv_id":"2403.01845","repositories_listed":1,"syntology":null},{"url":"/paper/on-latency-predictors-for-neural-architecture","slug":"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_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/on-latency-predictors-for-neural-architecture#ran","syntology_url":"https://syntology.ai/paper/2403.02446","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.02446"}},"official":{"repos":["abdelfattah-lab/nasflat_latency"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/dna-family-boosting-weight-sharing-nas-with","slug":"dna-family-boosting-weight-sharing-nas-with","title":"DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions","date":"2024-03-02","arxiv_id":"2403.01326","repositories_listed":1,"syntology":null},{"url":"/paper/parallel-hyperparameter-optimization-of","slug":"parallel-hyperparameter-optimization-of","title":"Parallel Hyperparameter Optimization Of Spiking Neural Network","date":"2024-03-01","arxiv_id":"2403.00450","repositories_listed":1,"syntology":null},{"url":"/paper/multi-objective-differentiable-neural","slug":"multi-objective-differentiable-neural","title":"Multi-objective Differentiable Neural Architecture Search","date":"2024-02-28","arxiv_id":"2402.18213","repositories_listed":1,"syntology":null},{"url":"/paper/g-nas-generalizable-neural-architecture","slug":"g-nas-generalizable-neural-architecture","title":"G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection","date":"2024-02-07","arxiv_id":"2402.04672","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"0 ran · 1 unverified","sample_list":"/paper/g-nas-generalizable-neural-architecture#ran","syntology_url":"https://syntology.ai/paper/2402.04672","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.04672"}},"official":{"repos":["wufan-cse/g-nas"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/group-distributionally-robust-dataset","slug":"group-distributionally-robust-dataset","title":"Group Distributionally Robust Dataset Distillation with Risk Minimization","date":"2024-02-07","arxiv_id":"2402.04676","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_constructed":0,"n_ran_checked":0,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"0 ran · 1 unverified","sample_list":"/paper/group-distributionally-robust-dataset#ran","syntology_url":"https://syntology.ai/paper/2402.04676","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.04676"}},"official":{"repos":["mming11/robustdatasetdistillation"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"url":"/paper/autogcn-towards-generic-human-activity","slug":"autogcn-towards-generic-human-activity","title":"AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search","date":"2024-02-02","arxiv_id":"2402.01313","repositories_listed":1,"syntology":null},{"url":"/paper/automated-fusion-of-multimodal-electronic","slug":"automated-fusion-of-multimodal-electronic","title":"Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions","date":"2024-01-20","arxiv_id":"2401.11252","repositories_listed":1,"syntology":null},{"url":"/paper/evolutionary-computation-in-the-era-of-large","slug":"evolutionary-computation-in-the-era-of-large","title":"Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap","date":"2024-01-18","arxiv_id":"2401.10034","repositories_listed":1,"syntology":null},{"url":"/paper/elivagar-efficient-quantum-circuit-search-for","slug":"elivagar-efficient-quantum-circuit-search-for","title":"Élivágar: Efficient Quantum Circuit Search for Classification","date":"2024-01-17","arxiv_id":"2401.09393","repositories_listed":1,"syntology":null},{"url":"/paper/seqnas-neural-architecture-search-for-event","slug":"seqnas-neural-architecture-search-for-event","title":"SeqNAS: Neural Architecture Search for Event Sequence Classification","date":"2024-01-06","arxiv_id":"2401.03246","repositories_listed":1,"syntology":null},{"url":"/paper/improving-natural-language-understanding-with","slug":"improving-natural-language-understanding-with","title":"ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion","date":"2024-01-04","arxiv_id":"2401.02993","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-hyperparameter-optimization-with","slug":"efficient-hyperparameter-optimization-with","title":"Efficient Hyperparameter Optimization with Adaptive Fidelity Identification","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-guidance-training-free-acceleration","slug":"adaptive-guidance-training-free-acceleration","title":"Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models","date":"2023-12-19","arxiv_id":"2312.12487","repositories_listed":1,"syntology":null},{"url":"/paper/is-darts-stabilizing-darts-through-precise","slug":"is-darts-stabilizing-darts-through-precise","title":"IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance","date":"2023-12-19","arxiv_id":"2312.12648","repositories_listed":1,"syntology":null},{"url":"/paper/heterogeneous-graph-neural-architecture","slug":"heterogeneous-graph-neural-architecture","title":"Heterogeneous Graph Neural Architecture Search with GPT-4","date":"2023-12-14","arxiv_id":"2312.08680","repositories_listed":1,"syntology":null},{"url":"/paper/transnas-tsad-harnessing-transformers-for","slug":"transnas-tsad-harnessing-transformers-for","title":"TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection","date":"2023-11-29","arxiv_id":"2311.18061","repositories_listed":1,"syntology":null},{"url":"/paper/cycleganas-differentiable-neural-architecture","slug":"cycleganas-differentiable-neural-architecture","title":"CycleGANAS: Differentiable Neural Architecture Search for CycleGAN","date":"2023-11-13","arxiv_id":"2311.07162","repositories_listed":1,"syntology":null},{"url":"/paper/auto-deep-learning-for-bioacoustic-signals","slug":"auto-deep-learning-for-bioacoustic-signals","title":"Auto deep learning for bioacoustic signals","date":"2023-11-08","arxiv_id":"2311.04945","repositories_listed":1,"syntology":null},{"url":"/paper/ever-evolving-evaluator-ev3-towards-flexible","slug":"ever-evolving-evaluator-ev3-towards-flexible","title":"Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation","date":"2023-10-29","arxiv_id":"2310.18893","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/ever-evolving-evaluator-ev3-towards-flexible#ran","syntology_url":"https://syntology.ai/paper/2310.18893","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.18893"}},"official":{"repos":["google-research/google-research"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/idenas-internal-dependency-exploration-for","slug":"idenas-internal-dependency-exploration-for","title":"Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification","date":"2023-10-26","arxiv_id":"2310.17250","repositories_listed":1,"syntology":null}],"record_sha256":"5695b6e61b1b24d7ecd922d1b74a8f57a45bea529a52d2126b94353c00031c32","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}