{"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":"/method/speed/papers/39","list_of":"/method/speed","method":"SPEED","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":39,"pages_in_order":96,"rows_per_page":100,"rows":[3801,3900],"of":9573,"counts":{"archive_papers_tagged":9576,"with_a_code_link":3061,"where_syntology_ran_a_sample":779,"not_listed_spam_title":3,"listed":9573,"listed_where_code_ran":779,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":677,"every_run_a_failure_of_syntologys_instrument":102,"listed_with_a_run_with_no_instrument_failure":677,"listed_every_run_a_failure_of_syntologys_instrument":102,"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":"/method/speed","prev":"/method/speed/papers/38","next":"/method/speed/papers/40","papers":[{"paper":null,"slug":"large-scale-automatic-audiobook-creation","title":"Large-Scale Automatic Audiobook Creation","date":"2023-09-07","arxiv_id":"2309.03926","n_code_links":0,"syntology":null},{"paper":null,"slug":"panoramas-from-photons","title":"Panoramas from Photons","date":"2023-09-07","arxiv_id":"2309.03811","n_code_links":0,"syntology":null},{"paper":null,"slug":"prime-and-modulate-learning-generation-of","title":"Prime and Modulate Learning: Generation of forward models with signed back-propagation and environmental cues","date":"2023-09-07","arxiv_id":"2309.03825","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-comparable-knowledge-distillation-in","title":"Towards Comparable Knowledge Distillation in Semantic Image Segmentation","date":"2023-09-07","arxiv_id":"2309.03659","n_code_links":0,"syntology":null},{"paper":null,"slug":"yolo-series-target-detection-algorithms-for","title":"YOLO series target detection algorithms for underwater environments","date":"2023-09-07","arxiv_id":"2309.03539","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-method-for-iris-recognition-using-bp","title":"A novel method for iris recognition using BP neural network and parallel computing by the aid of GPUs (Graphics Processing Units)","date":"2023-09-06","arxiv_id":"2309.03390","n_code_links":0,"syntology":null},{"paper":"/paper/fishmot-a-simple-and-effective-method-for","slug":"fishmot-a-simple-and-effective-method-for","title":"FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching","date":"2023-09-06","arxiv_id":"2309.02975","n_code_links":1,"syntology":null},{"paper":null,"slug":"real-time-non-invasive-imaging-and-detection","title":"Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach","date":"2023-09-06","arxiv_id":"2309.03147","n_code_links":0,"syntology":null},{"paper":"/paper/stochastic-nucleosome-disassembly-mediated-by","slug":"stochastic-nucleosome-disassembly-mediated-by","title":"Stochastic nucleosome disassembly mediated by remodelers and histone fragmentation","date":"2023-09-06","arxiv_id":"2309.02736","n_code_links":1,"syntology":null},{"paper":"/paper/bevtrack-a-simple-baseline-for-3d-single","slug":"bevtrack-a-simple-baseline-for-3d-single","title":"BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View","date":"2023-09-05","arxiv_id":"2309.02185","n_code_links":1,"syntology":null},{"paper":"/paper/promise-preconditioned-stochastic","slug":"promise-preconditioned-stochastic","title":"PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates","date":"2023-09-05","arxiv_id":"2309.02014","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":1,"n_instrument":0,"unverified":1,"pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["udellgroup/promise"],"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"]}}},{"paper":null,"slug":"quantum-ai-empowered-intelligent-surveillance","title":"Quantum-AI empowered Intelligent Surveillance: Advancing Public Safety Through Innovative Contraband Detection","date":"2023-09-05","arxiv_id":"2309.03231","n_code_links":0,"syntology":null},{"paper":null,"slug":"tensorbank-tensor-lakehouse-for-foundation","title":"TensorBank: Tensor Lakehouse for Foundation Model Training","date":"2023-09-05","arxiv_id":"2309.02094","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-canonical-equation-of-adaptive-dynamics","title":"The canonical equation of adaptive dynamics in individual-based models with power law mutation rates","date":"2023-09-05","arxiv_id":"2309.02148","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-approach-for-large-scale-real","title":"Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors","date":"2023-09-04","arxiv_id":"2309.01384","n_code_links":0,"syntology":null},{"paper":null,"slug":"hybrid-data-driven-thermal-simulation-model","title":"Hybrid data driven/thermal simulation model for comfort assessment","date":"2023-09-04","arxiv_id":"2309.01734","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-analysis-and-synthesis-of-wind-turbine","title":"On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation","date":"2023-09-04","arxiv_id":"2309.01633","n_code_links":0,"syntology":null},{"paper":"/paper/pure-monte-carlo-counterfactual-regret","slug":"pure-monte-carlo-counterfactual-regret","title":"Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play","date":"2023-09-04","arxiv_id":"2309.03084","n_code_links":2,"syntology":null},{"paper":null,"slug":"attention-where-it-matters-rethinking-visual","title":"Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration","date":"2023-09-03","arxiv_id":"2309.01131","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-models-with-deterministic","slug":"diffusion-models-with-deterministic","title":"Diffusion Models with Deterministic Normalizing Flow Priors","date":"2023-09-03","arxiv_id":"2309.01274","n_code_links":1,"syntology":null},{"paper":null,"slug":"online-adaptive-mahalanobis-distance","title":"Online Adaptive Mahalanobis Distance Estimation","date":"2023-09-02","arxiv_id":"2309.01030","n_code_links":0,"syntology":null},{"paper":"/paper/amortizing-pragmatic-program-synthesis-with","slug":"amortizing-pragmatic-program-synthesis-with","title":"Amortizing Pragmatic Program Synthesis with Rankings","date":"2023-09-01","arxiv_id":"2309.03225","n_code_links":1,"syntology":null},{"paper":"/paper/batchprompt-accomplish-more-with-less","slug":"batchprompt-accomplish-more-with-less","title":"BatchPrompt: Accomplish more with less","date":"2023-09-01","arxiv_id":"2309.00384","n_code_links":1,"syntology":null},{"paper":null,"slug":"muranet-multi-task-floor-plan-recognition","title":"MuraNet: Multi-task Floor Plan Recognition with Relation Attention","date":"2023-09-01","arxiv_id":"2309.00348","n_code_links":0,"syntology":null},{"paper":null,"slug":"tempestas-ex-machina-a-review-of-machine","title":"Tempestas ex machina: A review of machine learning methods for wavefront control","date":"2023-09-01","arxiv_id":"2309.00730","n_code_links":0,"syntology":null},{"paper":null,"slug":"audio-driven-dubbing-for-user-generated","title":"Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis","date":"2023-08-31","arxiv_id":"2309.00030","n_code_links":0,"syntology":null},{"paper":"/paper/fine-grained-cross-view-geo-localization-1","slug":"fine-grained-cross-view-geo-localization-1","title":"Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator","date":"2023-08-31","arxiv_id":"2308.16906","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":7,"n_instrument":3,"unverified":2,"pointer_only":12,"phrase":"10 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; 3 where Syntology's instrument failed) · 2 unverified","official":{"repos":["xlwangdev/hc-net"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"twofold-structured-features-based-siamese","title":"Twofold Structured Features-Based Siamese Network for Infrared Target Tracking","date":"2023-08-31","arxiv_id":"2308.16676","n_code_links":0,"syntology":null},{"paper":"/paper/calibrated-explanations-for-regression","slug":"calibrated-explanations-for-regression","title":"Calibrated Explanations for Regression","date":"2023-08-30","arxiv_id":"2308.16245","n_code_links":1,"syntology":null},{"paper":null,"slug":"learned-full-waveform-inversion-incorporating","title":"Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography","date":"2023-08-30","arxiv_id":"2308.16290","n_code_links":0,"syntology":null},{"paper":"/paper/lm-infinite-simple-on-the-fly-length","slug":"lm-infinite-simple-on-the-fly-length","title":"LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models","date":"2023-08-30","arxiv_id":"2308.16137","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":5,"n_instrument":2,"unverified":4,"pointer_only":0,"phrase":"7 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; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["Glaciohound/LM-Infinite"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/3d-muppet-3d-multi-pigeon-pose-estimation-and","slug":"3d-muppet-3d-multi-pigeon-pose-estimation-and","title":"3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking","date":"2023-08-29","arxiv_id":"2308.15316","n_code_links":2,"syntology":null},{"paper":"/paper/a-comparative-study-of-loss-functions-traffic","slug":"a-comparative-study-of-loss-functions-traffic","title":"A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios","date":"2023-08-29","arxiv_id":"2308.15464","n_code_links":1,"syntology":null},{"paper":null,"slug":"abs-sgd-a-delayed-synchronous-stochastic","title":"ABS-SGD: A Delayed Synchronous Stochastic Gradient Descent Algorithm with Adaptive Batch Size for Heterogeneous GPU Clusters","date":"2023-08-29","arxiv_id":"2308.15164","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-experimental-comparison-of-partitioning","title":"An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training","date":"2023-08-29","arxiv_id":"2308.15602","n_code_links":0,"syntology":null},{"paper":null,"slug":"chunked-lists-versus-extensible-arrays-for","title":"Chunked Lists versus Extensible Arrays for Text Inversion","date":"2023-08-29","arxiv_id":"2308.15498","n_code_links":0,"syntology":null},{"paper":null,"slug":"metawisdom-of-the-crowd-how-choice-within","title":"Metawisdom of the Crowd: How Choice Within Aided Decision Making Can Make Crowd Wisdom Robust","date":"2023-08-29","arxiv_id":"2308.15451","n_code_links":0,"syntology":null},{"paper":null,"slug":"policy-composition-in-reinforcement-learning","title":"Policy composition in reinforcement learning via multi-objective policy optimization","date":"2023-08-29","arxiv_id":"2308.15470","n_code_links":0,"syntology":null},{"paper":null,"slug":"random-feature-approximation-for-general","title":"Random feature approximation for general spectral methods","date":"2023-08-29","arxiv_id":"2308.15434","n_code_links":0,"syntology":null},{"paper":null,"slug":"distributed-dual-coordinate-ascent-with","title":"Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network","date":"2023-08-28","arxiv_id":"2308.14783","n_code_links":0,"syntology":null},{"paper":null,"slug":"memory-vq-compression-for-tractable-internet","title":"MEMORY-VQ: Compression for Tractable Internet-Scale Memory","date":"2023-08-28","arxiv_id":"2308.14903","n_code_links":0,"syntology":null},{"paper":null,"slug":"phase-aberration-correction-with-adaptive","title":"Phase Aberration Correction with Adaptive Coherence-Weighted Point Spread Function Restoration Filtering Technique","date":"2023-08-28","arxiv_id":"2308.14427","n_code_links":0,"syntology":null},{"paper":null,"slug":"research-on-the-influence-of-underwater","title":"Research on the Influence of Underwater Environment on the Dynamic Performance of the Mechanical Leg of a Deep-sea Crawling and Swimming Robot","date":"2023-08-28","arxiv_id":"2308.14393","n_code_links":0,"syntology":null},{"paper":"/paper/rethinking-mobile-ai-ecosystem-in-the-llm-era","slug":"rethinking-mobile-ai-ecosystem-in-the-llm-era","title":"Mobile Foundation Model as Firmware","date":"2023-08-28","arxiv_id":"2308.14363","n_code_links":1,"syntology":null},{"paper":null,"slug":"systematic-reduction-of-hyperspectral-images","title":"Systematic reduction of Hyperspectral Images for high-throughput Plastic Characterization","date":"2023-08-28","arxiv_id":"2308.14776","n_code_links":0,"syntology":null},{"paper":null,"slug":"video-based-hand-pose-estimation-for-remote","title":"Video-Based Hand Pose Estimation for Remote Assessment of Bradykinesia in Parkinson's Disease","date":"2023-08-28","arxiv_id":"2308.14679","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-bloodstain-analysis-through-ai","slug":"enhancing-bloodstain-analysis-through-ai","title":"Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation","date":"2023-08-27","arxiv_id":"2308.13979","n_code_links":1,"syntology":null},{"paper":"/paper/speed-streaming-partition-and-parallel","slug":"speed-streaming-partition-and-parallel","title":"SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding","date":"2023-08-27","arxiv_id":"2308.14129","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":8,"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) · 2 unverified","official":{"repos":["chenxi1228/SPEED"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"effectively-heterogeneous-federated-learning","title":"Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach","date":"2023-08-26","arxiv_id":"2308.13849","n_code_links":0,"syntology":null},{"paper":"/paper/federated-fine-tuning-of-billion-sized","slug":"federated-fine-tuning-of-billion-sized","title":"FwdLLM: Efficient FedLLM using Forward Gradient","date":"2023-08-26","arxiv_id":"2308.13894","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"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","official":{"repos":["ubiquitouslearning/fwdllm"],"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"]}}},{"paper":"/paper/unified-single-stage-transformer-network-for","slug":"unified-single-stage-transformer-network-for","title":"Unified Single-Stage Transformer Network for Efficient RGB-T Tracking","date":"2023-08-26","arxiv_id":"2308.13764","n_code_links":1,"syntology":null},{"paper":"/paper/gridpull-towards-scalability-in-learning","slug":"gridpull-towards-scalability-in-learning","title":"GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds","date":"2023-08-25","arxiv_id":"2308.13175","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":6,"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","official":{"repos":["chenchao15/gridpull"],"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"]}}},{"paper":null,"slug":"heterogeneous-decentralized-machine","title":"Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation","date":"2023-08-25","arxiv_id":"2308.13269","n_code_links":0,"syntology":null},{"paper":"/paper/omniquant-omnidirectionally-calibrated","slug":"omniquant-omnidirectionally-calibrated","title":"OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models","date":"2023-08-25","arxiv_id":"2308.13137","n_code_links":2,"syntology":{"ran":10,"of":16,"n_ran_checked":8,"n_instrument":2,"unverified":6,"pointer_only":9,"phrase":"10 ran (of which 1 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","official":{"repos":["opengvlab/omniquant"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":6,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/party-prediction-for-twitter","slug":"party-prediction-for-twitter","title":"Party Prediction for Twitter","date":"2023-08-25","arxiv_id":"2308.13699","n_code_links":1,"syntology":null},{"paper":null,"slug":"reinforcement-learning-assisted-evolutionary","title":"Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities","date":"2023-08-25","arxiv_id":"2308.13420","n_code_links":0,"syntology":null},{"paper":null,"slug":"staleness-alleviated-distributed-gnn-training","title":"Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction","date":"2023-08-25","arxiv_id":"2308.13466","n_code_links":0,"syntology":null},{"paper":null,"slug":"ultrafast-and-ultralight-convnet-based","title":"Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere","date":"2023-08-25","arxiv_id":"2308.13492","n_code_links":0,"syntology":null},{"paper":null,"slug":"dlip-distilling-language-image-pre-training","title":"DLIP: Distilling Language-Image Pre-training","date":"2023-08-24","arxiv_id":"2308.12956","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimal-and-robust-fault-tolerant-control-of","title":"Optimal and Robust Fault Tolerant Control of Wind Turbines Working under Sensor, Actuator, and System Faults","date":"2023-08-24","arxiv_id":"2308.12550","n_code_links":0,"syntology":null},{"paper":null,"slug":"skipcrossnets-adaptive-skip-cross-fusion-for","title":"SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection","date":"2023-08-24","arxiv_id":"2308.12863","n_code_links":0,"syntology":null},{"paper":"/paper/streammapnet-streaming-mapping-network-for","slug":"streammapnet-streaming-mapping-network-for","title":"StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction","date":"2023-08-24","arxiv_id":"2308.12570","n_code_links":1,"syntology":null},{"paper":null,"slug":"d4-improving-llm-pretraining-via-document-de","title":"D4: Improving LLM Pretraining via Document De-Duplication and Diversification","date":"2023-08-23","arxiv_id":"2308.12284","n_code_links":0,"syntology":null},{"paper":"/paper/towards-real-time-analysis-of-broadcast","slug":"towards-real-time-analysis-of-broadcast","title":"Towards Real-Time Analysis of Broadcast Badminton Videos","date":"2023-08-23","arxiv_id":"2308.12199","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-partially-observable-deep-multi-agent","title":"A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks","date":"2023-08-22","arxiv_id":"2308.11402","n_code_links":0,"syntology":null},{"paper":null,"slug":"concatplexer-additional-dim1-batching-for","title":"ConcatPlexer: Additional Dim1 Batching for Faster ViTs","date":"2023-08-22","arxiv_id":"2308.11199","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-last-iterate-convergence-algorithms","title":"Efficient Last-iterate Convergence Algorithms in Solving Games","date":"2023-08-22","arxiv_id":"2308.11256","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-view-synthesis-with-neural-radiance","title":"Efficient View Synthesis with Neural Radiance Distribution Field","date":"2023-08-22","arxiv_id":"2308.11130","n_code_links":0,"syntology":null},{"paper":null,"slug":"incorporating-nonlocal-traffic-flow-model-in","title":"Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks","date":"2023-08-22","arxiv_id":"2308.11818","n_code_links":0,"syntology":null},{"paper":null,"slug":"phase-aberration-correction-a-deep-learning","title":"Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach","date":"2023-08-22","arxiv_id":"2308.11149","n_code_links":0,"syntology":null},{"paper":"/paper/segment-anything-for-microscopy","slug":"segment-anything-for-microscopy","title":"Segment Anything for Microscopy","date":"2023-08-22","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"using-early-exits-for-fast-inference-in","title":"Using Early Exits for Fast Inference in Automatic Modulation Classification","date":"2023-08-22","arxiv_id":"2308.11100","n_code_links":0,"syntology":null},{"paper":null,"slug":"bundleseg-a-versatile-reliable-and","title":"BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation","date":"2023-08-21","arxiv_id":"2308.10958","n_code_links":0,"syntology":null},{"paper":"/paper/faster-training-of-neural-odes-using-gauss","slug":"faster-training-of-neural-odes-using-gauss","title":"Faster Training of Neural ODEs Using Gauß-Legendre Quadrature","date":"2023-08-21","arxiv_id":"2308.10644","n_code_links":1,"syntology":null},{"paper":"/paper/lscpm-communities-in-massive-real-world-link","slug":"lscpm-communities-in-massive-real-world-link","title":"LSCPM: communities in massive real-world Link Streams by Clique Percolation Method","date":"2023-08-21","arxiv_id":"2308.10801","n_code_links":1,"syntology":null},{"paper":null,"slug":"rt-monodepth-real-time-monocular-depth","title":"Real-time Monocular Depth Estimation on Embedded Systems","date":"2023-08-21","arxiv_id":"2308.10569","n_code_links":0,"syntology":null},{"paper":null,"slug":"ultrafast-and-ultralight-network-based","title":"Ear-Keeper: Real-time Diagnosis of Ear Lesions Utilizing Ultralight-Ultrafast ConvNet and Large-scale Ear Endoscopic Dataset","date":"2023-08-21","arxiv_id":"2308.10610","n_code_links":0,"syntology":null},{"paper":"/paper/autorep-automatic-relu-replacement-for-fast","slug":"autorep-automatic-relu-replacement-for-fast","title":"AutoReP: Automatic ReLU Replacement for Fast Private Network Inference","date":"2023-08-20","arxiv_id":"2308.10134","n_code_links":1,"syntology":{"ran":0,"of":2,"n_ran_checked":0,"n_instrument":0,"unverified":2,"pointer_only":2,"phrase":"0 ran · 2 unverified","official":{"repos":["harveyp123/autorep"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":[]}}},{"paper":"/paper/contrastive-diffusion-model-with-auxiliary","slug":"contrastive-diffusion-model-with-auxiliary","title":"Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction","date":"2023-08-20","arxiv_id":"2308.10157","n_code_links":1,"syntology":null},{"paper":null,"slug":"accelerating-exact-combinatorial-optimization","title":"Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling","date":"2023-08-19","arxiv_id":"2308.11652","n_code_links":0,"syntology":null},{"paper":null,"slug":"asynchronous-sensor-system-for-collecting","title":"Asynchronous Sensor System for Collecting Detailed Data on the Environment and Resource Consumption in Smart City","date":"2023-08-19","arxiv_id":"2308.13016","n_code_links":0,"syntology":null},{"paper":null,"slug":"gnnpipe-accelerating-distributed-full-graph","title":"GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism","date":"2023-08-19","arxiv_id":"2308.10087","n_code_links":0,"syntology":null},{"paper":null,"slug":"scalable-video-object-segmentation-with","title":"Scalable Video Object Segmentation with Simplified Framework","date":"2023-08-19","arxiv_id":"2308.09903","n_code_links":0,"syntology":null},{"paper":null,"slug":"study-on-the-effectiveness-of-automl-in","title":"Study on the effectiveness of AutoML in detecting cardiovascular disease","date":"2023-08-19","arxiv_id":"2308.09947","n_code_links":0,"syntology":null},{"paper":null,"slug":"advancing-intra-operative-precision-dynamic","title":"Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery","date":"2023-08-18","arxiv_id":"2308.10868","n_code_links":0,"syntology":null},{"paper":null,"slug":"explainable-ai-for-tool-wear-prediction-in","title":"Explainable AI for tool wear prediction in turning","date":"2023-08-17","arxiv_id":"2308.08765","n_code_links":0,"syntology":null},{"paper":"/paper/fast-inference-and-update-of-probabilistic","slug":"fast-inference-and-update-of-probabilistic","title":"Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction","date":"2023-08-17","arxiv_id":"2308.08824","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":7,"n_instrument":1,"unverified":3,"pointer_only":11,"phrase":"8 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; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["meaten/flowchain-iccv2023"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/feature-enforcing-pinn-fe-pinn-a-framework-to","slug":"feature-enforcing-pinn-fe-pinn-a-framework-to","title":"Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence","date":"2023-08-17","arxiv_id":"2308.08873","n_code_links":1,"syntology":null},{"paper":null,"slug":"movepose-a-high-performance-human-pose","title":"MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices","date":"2023-08-17","arxiv_id":"2308.09084","n_code_links":0,"syntology":null},{"paper":"/paper/sddnet-style-guided-dual-layer","slug":"sddnet-style-guided-dual-layer","title":"SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection","date":"2023-08-17","arxiv_id":"2308.08935","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-robust-integrated-multi-strategy-bus","title":"A Robust Integrated Multi-Strategy Bus Control System via Deep Reinforcement Learning","date":"2023-08-16","arxiv_id":"2308.08179","n_code_links":0,"syntology":null},{"paper":null,"slug":"application-of-visual-communication-in-image","title":"Application of Visual Communication in Image Enhancement and Optimization of Human–Computer Interface","date":"2023-08-16","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/bioptimus-pre-training-an-optimal-biomedical","slug":"bioptimus-pre-training-an-optimal-biomedical","title":"BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition","date":"2023-08-16","arxiv_id":"2308.08625","n_code_links":1,"syntology":null},{"paper":null,"slug":"dfedadmm-dual-constraints-controlled-model","title":"DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning","date":"2023-08-16","arxiv_id":"2308.08290","n_code_links":0,"syntology":null},{"paper":"/paper/s2r-exploring-a-double-win-transformer-based","slug":"s2r-exploring-a-double-win-transformer-based","title":"S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution","date":"2023-08-16","arxiv_id":"2308.08142","n_code_links":1,"syntology":null},{"paper":null,"slug":"distilling-knowledge-from-resource-management","title":"Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach","date":"2023-08-15","arxiv_id":"2308.07511","n_code_links":0,"syntology":null},{"paper":"/paper/identity-consistent-aggregation-for-video","slug":"identity-consistent-aggregation-for-video","title":"Identity-Consistent Aggregation for Video Object Detection","date":"2023-08-15","arxiv_id":"2308.07737","n_code_links":1,"syntology":null},{"paper":null,"slug":"mono-multi-material-characterization-using","title":"Mono/Multi-material Characterization Using Hyperspectral Images and Multi-Block Non-Negative Matrix Factorization","date":"2023-08-15","arxiv_id":"2309.12329","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-inherent-trade-off-in-noisy-neural","title":"An Inherent Trade-Off in Noisy Neural Communication with Rank-Order Coding","date":"2023-08-14","arxiv_id":"2308.07034","n_code_links":0,"syntology":null},{"paper":null,"slug":"distributed-uav-swarm-augmented-wideband","title":"Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver","date":"2023-08-14","arxiv_id":"2308.07077","n_code_links":0,"syntology":null}],"record_sha256":"15e1f6d5c73f5fa4eee5c3c601e15f736dba07505ac802fbd73bcd1deb4af414","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}