{"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/23","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":23,"pages_in_order":96,"rows_per_page":100,"rows":[2201,2300],"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/22","next":"/method/speed/papers/24","papers":[{"paper":"/paper/fastast-accelerating-audio-spectrogram","slug":"fastast-accelerating-audio-spectrogram","title":"FastAST: Accelerating Audio Spectrogram Transformer via Token Merging and Cross-Model Knowledge Distillation","date":"2024-06-11","arxiv_id":"2406.07676","n_code_links":1,"syntology":null},{"paper":"/paper/fkan-fractional-kolmogorov-arnold-networks","slug":"fkan-fractional-kolmogorov-arnold-networks","title":"fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions","date":"2024-06-11","arxiv_id":"2406.07456","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["alirezaafzalaghaei/fKAN"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/flux-fast-software-based-communication","slug":"flux-fast-software-based-communication","title":"FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion","date":"2024-06-11","arxiv_id":"2406.06858","n_code_links":1,"syntology":null},{"paper":null,"slug":"m-lrm-multi-view-large-reconstruction-model","title":"Multi-View Large Reconstruction Model via Geometry-Aware Positional Encoding and Attention","date":"2024-06-11","arxiv_id":"2406.07648","n_code_links":0,"syntology":null},{"paper":null,"slug":"opfdata-large-scale-datasets-for-ac-optimal","title":"OPFData: Large-scale datasets for AC optimal power flow with topological perturbations","date":"2024-06-11","arxiv_id":"2406.07234","n_code_links":0,"syntology":null},{"paper":null,"slug":"optune-efficient-online-preference-tuning","title":"OPTune: Efficient Online Preference Tuning","date":"2024-06-11","arxiv_id":"2406.07657","n_code_links":0,"syntology":null},{"paper":"/paper/oto-planner-an-efficient-only-travelling-once","slug":"oto-planner-an-efficient-only-travelling-once","title":"OTO Planner: An Efficient Only Travelling Once Exploration Planner for Complex and Unknown Environments","date":"2024-06-11","arxiv_id":"2406.07294","n_code_links":1,"syntology":null},{"paper":"/paper/vehicle-speed-detection-system-utilizing","slug":"vehicle-speed-detection-system-utilizing","title":"Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas","date":"2024-06-11","arxiv_id":"2406.07710","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-multi-module-robust-method-for-transient","title":"A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks","date":"2024-06-10","arxiv_id":"2406.06744","n_code_links":0,"syntology":null},{"paper":"/paper/autoregressive-model-beats-diffusion-llama","slug":"autoregressive-model-beats-diffusion-llama","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","date":"2024-06-10","arxiv_id":"2406.06525","n_code_links":2,"syntology":{"ran":10,"of":15,"n_ran_checked":9,"n_instrument":1,"unverified":5,"pointer_only":9,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 2 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["foundationvision/llamagen"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fed-sophia-a-communication-efficient-second","title":"Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm","date":"2024-06-10","arxiv_id":"2406.06655","n_code_links":0,"syntology":null},{"paper":null,"slug":"jengan-stacked-shifted-filters-in-gan-based","title":"JenGAN: Stacked Shifted Filters in GAN-Based Speech Synthesis","date":"2024-06-10","arxiv_id":"2406.06111","n_code_links":0,"syntology":null},{"paper":"/paper/lighting-every-darkness-with-3dgs-fast","slug":"lighting-every-darkness-with-3dgs-fast","title":"Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis","date":"2024-06-10","arxiv_id":"2406.06216","n_code_links":2,"syntology":null},{"paper":"/paper/powerinfer-2-fast-large-language-model","slug":"powerinfer-2-fast-large-language-model","title":"PowerInfer-2: Fast Large Language Model Inference on a Smartphone","date":"2024-06-10","arxiv_id":"2406.06282","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":2,"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":null}},{"paper":"/paper/turbo-sparse-achieving-llm-sota-performance","slug":"turbo-sparse-achieving-llm-sota-performance","title":"Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters","date":"2024-06-10","arxiv_id":"2406.05955","n_code_links":1,"syntology":null},{"paper":null,"slug":"vehicle-vectors-and-traffic-patterns-from","title":"Vehicle Vectors and Traffic Patterns from Planet Imagery","date":"2024-06-10","arxiv_id":"2406.06320","n_code_links":0,"syntology":null},{"paper":null,"slug":"simplicits-mesh-free-geometry-agnostic","title":"Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation","date":"2024-06-09","arxiv_id":"2407.09497","n_code_links":0,"syntology":null},{"paper":null,"slug":"vcr-gaus-view-consistent-depth-normal","title":"VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction","date":"2024-06-09","arxiv_id":"2406.05774","n_code_links":0,"syntology":null},{"paper":null,"slug":"qcqa-quality-and-capacity-aware-grouped-query","title":"QCQA: Quality and Capacity-aware grouped Query Attention","date":"2024-06-08","arxiv_id":"2406.10247","n_code_links":0,"syntology":null},{"paper":null,"slug":"rapid-review-of-generative-ai-in-smart","title":"Rapid Review of Generative AI in Smart Medical Applications","date":"2024-06-08","arxiv_id":"2406.06627","n_code_links":0,"syntology":null},{"paper":null,"slug":"vall-e-2-neural-codec-language-models-are","title":"VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers","date":"2024-06-08","arxiv_id":"2406.05370","n_code_links":0,"syntology":null},{"paper":null,"slug":"fragile-model-watermarking-a-comprehensive","title":"A Survey of Fragile Model Watermarking","date":"2024-06-07","arxiv_id":"2406.04809","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-task-decomposition-to-assist-humans","title":"Learning Task Decomposition to Assist Humans in Competitive Programming","date":"2024-06-07","arxiv_id":"2406.04604","n_code_links":0,"syntology":null},{"paper":"/paper/moe-jetpack-from-dense-checkpoints-to","slug":"moe-jetpack-from-dense-checkpoints-to","title":"MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks","date":"2024-06-07","arxiv_id":"2406.04801","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":5,"n_instrument":1,"unverified":1,"pointer_only":0,"phrase":"6 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["adlith/moe-jetpack"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/the-uls23-challenge-a-baseline-model-and","slug":"the-uls23-challenge-a-baseline-model-and","title":"The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography","date":"2024-06-07","arxiv_id":"2406.05231","n_code_links":1,"syntology":null},{"paper":"/paper/continuous-attractor-networks-for-laplace","slug":"continuous-attractor-networks-for-laplace","title":"Continuous Attractor Networks for Laplace Neural Manifolds","date":"2024-06-06","arxiv_id":"2406.04545","n_code_links":1,"syntology":null},{"paper":"/paper/dsnet-a-novel-way-to-use-atrous-convolutions","slug":"dsnet-a-novel-way-to-use-atrous-convolutions","title":"DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation","date":"2024-06-06","arxiv_id":"2406.03702","n_code_links":1,"syntology":null},{"paper":null,"slug":"energy-storing-analysis-and-fishtail","title":"Energy-storing analysis and fishtail stiffness optimization for a wire-driven elastic robotic fish","date":"2024-06-06","arxiv_id":"2406.03875","n_code_links":0,"syntology":null},{"paper":"/paper/explainability-and-hate-speech-structured","slug":"explainability-and-hate-speech-structured","title":"Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster","date":"2024-06-06","arxiv_id":"2406.04106","n_code_links":1,"syntology":null},{"paper":null,"slug":"glint-ru-gated-lightweight-intelligent","title":"GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems","date":"2024-06-06","arxiv_id":"2406.10244","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-limitation-of-transformer-for-learning","title":"On Limitation of Transformer for Learning HMMs","date":"2024-06-06","arxiv_id":"2406.04089","n_code_links":0,"syntology":null},{"paper":null,"slug":"speed-of-light-exact-greedy-decoding-for-rnn","title":"Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU","date":"2024-06-06","arxiv_id":"2406.03791","n_code_links":0,"syntology":null},{"paper":"/paper/untrained-neural-nets-for-snapshot","slug":"untrained-neural-nets-for-snapshot","title":"Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms","date":"2024-06-06","arxiv_id":"2406.03694","n_code_links":1,"syntology":null},{"paper":"/paper/a-flexible-recursive-network-for-video-stereo","slug":"a-flexible-recursive-network-for-video-stereo","title":"A Flexible Recursive Network for Video Stereo Matching Based on Residual Estimation","date":"2024-06-05","arxiv_id":"2406.03333","n_code_links":1,"syntology":null},{"paper":"/paper/adversarial-generation-of-hierarchical","slug":"adversarial-generation-of-hierarchical","title":"GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats","date":"2024-06-05","arxiv_id":"2406.02968","n_code_links":1,"syntology":{"ran":13,"of":16,"n_ran_checked":8,"n_instrument":5,"unverified":3,"pointer_only":16,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"development-of-an-underwater-inductive","title":"Development of an underwater inductive coupling communication system with power carrier technology","date":"2024-06-05","arxiv_id":"2406.02854","n_code_links":0,"syntology":null},{"paper":null,"slug":"event3dgs-event-based-3d-gaussian-splatting","title":"Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion","date":"2024-06-05","arxiv_id":"2406.02972","n_code_links":0,"syntology":null},{"paper":null,"slug":"fapnet-an-effective-frequency-adaptive-point","title":"FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker","date":"2024-06-05","arxiv_id":"2406.03177","n_code_links":0,"syntology":null},{"paper":"/paper/fedstaleweight-buffered-asynchronous","slug":"fedstaleweight-buffered-asynchronous","title":"FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting","date":"2024-06-05","arxiv_id":"2406.02877","n_code_links":1,"syntology":null},{"paper":null,"slug":"gaussian-representation-for-deformable-image","title":"Gaussian Primitives for Deformable Image Registration","date":"2024-06-05","arxiv_id":"2406.03394","n_code_links":0,"syntology":null},{"paper":"/paper/image-copy-move-forgery-detection-and","slug":"image-copy-move-forgery-detection-and","title":"Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm","date":"2024-06-05","arxiv_id":"2406.03271","n_code_links":1,"syntology":null},{"paper":null,"slug":"sparse-color-code-net-real-time-rgb-based-6d","title":"Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices","date":"2024-06-05","arxiv_id":"2406.02977","n_code_links":0,"syntology":null},{"paper":null,"slug":"variational-pseudo-marginal-methods-for-jet","title":"Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics","date":"2024-06-05","arxiv_id":"2406.03242","n_code_links":0,"syntology":null},{"paper":null,"slug":"3d-hgs-3d-half-gaussian-splatting","title":"3D-HGS: 3D Half-Gaussian Splatting","date":"2024-06-04","arxiv_id":"2406.02720","n_code_links":0,"syntology":null},{"paper":null,"slug":"bivocoder-a-bidirectional-neural-vocoder","title":"BiVocoder: A Bidirectional Neural Vocoder Integrating Feature Extraction and Waveform Generation","date":"2024-06-04","arxiv_id":"2406.02162","n_code_links":0,"syntology":null},{"paper":"/paper/branches-a-fast-dynamic-programming-and","slug":"branches-a-fast-dynamic-programming-and","title":"Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*","date":"2024-06-04","arxiv_id":"2406.02175","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["Chaoukia/branches"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fastlgs-speeding-up-language-embedded","title":"FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping","date":"2024-06-04","arxiv_id":"2406.01916","n_code_links":0,"syntology":null},{"paper":"/paper/improved-modelling-of-federated-datasets","slug":"improved-modelling-of-federated-datasets","title":"Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials","date":"2024-06-04","arxiv_id":"2406.02416","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-cellular-network-connection-quality","title":"Learning Cellular Network Connection Quality with Conformal","date":"2024-06-04","arxiv_id":"2407.10976","n_code_links":0,"syntology":null},{"paper":"/paper/loki-low-rank-keys-for-efficient-sparse","slug":"loki-low-rank-keys-for-efficient-sparse","title":"Loki: Low-rank Keys for Efficient Sparse Attention","date":"2024-06-04","arxiv_id":"2406.02542","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"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":["hpcgroup/loki"],"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":null,"slug":"mola-motion-generation-and-editing-with","title":"MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training","date":"2024-06-04","arxiv_id":"2406.01867","n_code_links":0,"syntology":null},{"paper":null,"slug":"novel-pre-emptive-control-solutions-for-v2x","title":"Novel pre-emptive control solutions for V2X connected electric vehicles","date":"2024-06-04","arxiv_id":"2406.02211","n_code_links":0,"syntology":null},{"paper":null,"slug":"occamllm-fast-and-exact-language-model","title":"OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step","date":"2024-06-04","arxiv_id":"2406.06576","n_code_links":0,"syntology":null},{"paper":"/paper/open-yolo-3d-towards-fast-and-accurate-open","slug":"open-yolo-3d-towards-fast-and-accurate-open","title":"Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation","date":"2024-06-04","arxiv_id":"2406.02548","n_code_links":1,"syntology":{"ran":4,"of":11,"n_ran_checked":4,"n_instrument":0,"unverified":7,"pointer_only":11,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","official":{"repos":["aminebdj/openyolo3d"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":"/paper/svastin-sparse-video-adversarial-attack-via","slug":"svastin-sparse-video-adversarial-attack-via","title":"SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks","date":"2024-06-04","arxiv_id":"2406.01894","n_code_links":1,"syntology":null},{"paper":null,"slug":"technical-language-processing-for","title":"Technical Language Processing for Telecommunications Specifications","date":"2024-06-04","arxiv_id":"2406.02325","n_code_links":0,"syntology":null},{"paper":null,"slug":"accelerating-heterogeneous-federated-learning","title":"Accelerating Heterogeneous Federated Learning with Closed-form Classifiers","date":"2024-06-03","arxiv_id":"2406.01116","n_code_links":0,"syntology":null},{"paper":null,"slug":"asynchronous-byzantine-federated-learning","title":"Asynchronous Byzantine Federated Learning","date":"2024-06-03","arxiv_id":"2406.01438","n_code_links":0,"syntology":null},{"paper":null,"slug":"long-term-foehn-reconstruction-combining","title":"Long-term foehn reconstruction combining unsupervised and supervised learning","date":"2024-06-03","arxiv_id":"2406.01818","n_code_links":0,"syntology":null},{"paper":null,"slug":"manicm-real-time-3d-diffusion-policy-via","title":"ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation","date":"2024-06-03","arxiv_id":"2406.01586","n_code_links":0,"syntology":null},{"paper":null,"slug":"augmenting-the-fedprox-algorithm-by","title":"Augmenting the FedProx Algorithm by Minimizing Convergence","date":"2024-06-02","arxiv_id":"2406.00748","n_code_links":0,"syntology":null},{"paper":null,"slug":"diffusion-tuning-transferring-diffusion","title":"Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting","date":"2024-06-02","arxiv_id":"2406.00773","n_code_links":0,"syntology":null},{"paper":"/paper/distildire-a-small-fast-cheap-and-lightweight","slug":"distildire-a-small-fast-cheap-and-lightweight","title":"DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection","date":"2024-06-02","arxiv_id":"2406.00856","n_code_links":1,"syntology":null},{"paper":null,"slug":"amortizing-pragmatic-program-synthesis-with-1","title":"Amortizing Pragmatic Program Synthesis with Rankings","date":"2024-06-01","arxiv_id":"2407.02499","n_code_links":0,"syntology":null},{"paper":"/paper/audiolcm-text-to-audio-generation-with-latent","slug":"audiolcm-text-to-audio-generation-with-latent","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","date":"2024-06-01","arxiv_id":"2406.00356","n_code_links":2,"syntology":null},{"paper":null,"slug":"hybrid-attention-structure-preserving-network","title":"Hybrid attention structure preserving network for reconstruction of under-sampled OCT images","date":"2024-06-01","arxiv_id":"2406.00279","n_code_links":0,"syntology":null},{"paper":"/paper/non-destructive-degradation-pattern","slug":"non-destructive-degradation-pattern","title":"Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning","date":"2024-06-01","arxiv_id":"2406.00276","n_code_links":1,"syntology":null},{"paper":null,"slug":"phasor-driven-acceleration-for-fft-based-cnns","title":"Phasor-Driven Acceleration for FFT-based CNNs","date":"2024-06-01","arxiv_id":"2406.00290","n_code_links":0,"syntology":null},{"paper":"/paper/sam-vmnet-deep-neural-networks-for-coronary","slug":"sam-vmnet-deep-neural-networks-for-coronary","title":"A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images","date":"2024-06-01","arxiv_id":"2406.00492","n_code_links":1,"syntology":null},{"paper":"/paper/understanding-the-convergence-in-balanced","slug":"understanding-the-convergence-in-balanced","title":"Understanding the Convergence in Balanced Resonate-and-Fire Neurons","date":"2024-06-01","arxiv_id":"2406.00389","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":null}},{"paper":null,"slug":"a-framework-for-spatio-temporal-graph","title":"A Framework for Spatio-Temporal Graph Analytics In Field Sports","date":"2024-05-31","arxiv_id":"2407.13109","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-sdm-accelerating-stable-diffusion-through-1","title":"A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies","date":"2024-05-31","arxiv_id":"2406.00210","n_code_links":0,"syntology":null},{"paper":"/paper/adv-kd-adversarial-knowledge-distillation-for","slug":"adv-kd-adversarial-knowledge-distillation-for","title":"Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling","date":"2024-05-31","arxiv_id":"2405.20675","n_code_links":1,"syntology":null},{"paper":null,"slug":"an-attention-based-multi-context","title":"An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction","date":"2024-05-31","arxiv_id":"2405.21045","n_code_links":0,"syntology":null},{"paper":"/paper/communication-efficient-distributed-deep-2","slug":"communication-efficient-distributed-deep-2","title":"Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging","date":"2024-05-31","arxiv_id":"2405.20988","n_code_links":1,"syntology":null},{"paper":null,"slug":"dynamic-multi-objective-lion-swarm","title":"Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning","date":"2024-05-31","arxiv_id":"2406.00114","n_code_links":0,"syntology":null},{"paper":"/paper/fourier123-one-image-to-high-quality-3d","slug":"fourier123-one-image-to-high-quality-3d","title":"Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation","date":"2024-05-31","arxiv_id":"2405.20669","n_code_links":1,"syntology":{"ran":10,"of":10,"n_ran_checked":9,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["Ysz2022/Fourier123"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/link-learning-joint-representations-of-design","slug":"link-learning-joint-representations-of-design","title":"LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis","date":"2024-05-31","arxiv_id":"2405.20592","n_code_links":1,"syntology":null},{"paper":null,"slug":"loss-versus-fair-efficiency-of-dutch-auctions","title":"Loss-Versus-Fair: Efficiency of Dutch Auctions on Blockchains","date":"2024-05-31","arxiv_id":"2406.00113","n_code_links":0,"syntology":null},{"paper":"/paper/veni-vindy-vici-a-variational-reduced-order","slug":"veni-vindy-vici-a-variational-reduced-order","title":"VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification","date":"2024-05-31","arxiv_id":"2405.20905","n_code_links":1,"syntology":null},{"paper":null,"slug":"ancillary-services-provision-by-cross-voltage","title":"Ancillary Services Provision by Cross-Voltage-Level Power Flow Control using Flexibility Regions","date":"2024-05-30","arxiv_id":"2405.20260","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-policies-creating-a-trust-region","slug":"diffusion-policies-creating-a-trust-region","title":"Diffusion Policies creating a Trust Region for Offline Reinforcement Learning","date":"2024-05-30","arxiv_id":"2405.19690","n_code_links":1,"syntology":{"ran":17,"of":20,"n_ran_checked":11,"n_instrument":6,"unverified":3,"pointer_only":20,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 6 where Syntology's instrument failed) · 3 unverified","official":{"repos":["tianyucodings/diffusion_trusted_q_learning"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"ditto-2-distilled-diffusion-inference-time-t","title":"DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation","date":"2024-05-30","arxiv_id":"2405.20289","n_code_links":0,"syntology":null},{"paper":"/paper/gkt-a-novel-guidance-based-knowledge-transfer","slug":"gkt-a-novel-guidance-based-knowledge-transfer","title":"GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment","date":"2024-05-30","arxiv_id":"2405.19635","n_code_links":1,"syntology":null},{"paper":"/paper/revisiting-cnns-for-trajectory-similarity","slug":"revisiting-cnns-for-trajectory-similarity","title":"Revisiting CNNs for Trajectory Similarity Learning","date":"2024-05-30","arxiv_id":"2405.19761","n_code_links":1,"syntology":null},{"paper":null,"slug":"speed-profile-definition-for-glosa","title":"Speed Profile Definition for GLOSA Implementation on Buses Based on Statistical Analysis of Experimental Data","date":"2024-05-30","arxiv_id":"2405.20261","n_code_links":0,"syntology":null},{"paper":"/paper/streaming-video-diffusion-online-video","slug":"streaming-video-diffusion-online-video","title":"Streaming Video Diffusion: Online Video Editing with Diffusion Models","date":"2024-05-30","arxiv_id":"2405.19726","n_code_links":1,"syntology":null},{"paper":"/paper/textit-s-3-gaussian-self-supervised-street","slug":"textit-s-3-gaussian-self-supervised-street","title":"$\\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving","date":"2024-05-30","arxiv_id":"2405.20323","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":11,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["nnanhuang/s3gaussian"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-digital-beamforming-receiver-architecture","title":"A Digital Beamforming Receiver Architecture Implemented on a FPGA for Space Applications","date":"2024-05-29","arxiv_id":"2405.18992","n_code_links":0,"syntology":null},{"paper":"/paper/a-good-foundation-is-worth-many-labels-label","slug":"a-good-foundation-is-worth-many-labels-label","title":"A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation","date":"2024-05-29","arxiv_id":"2405.19035","n_code_links":1,"syntology":null},{"paper":null,"slug":"ciliagraph-enabling-expression-enhanced-hyper","title":"CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge","date":"2024-05-29","arxiv_id":"2405.19033","n_code_links":0,"syntology":null},{"paper":null,"slug":"identifying-the-most-influential-driver-nodes","title":"Identifying the Most Influential Driver Nodes for Pinning Control of Multi-Agent Systems with Time-Varying Topology","date":"2024-05-29","arxiv_id":"2405.18712","n_code_links":0,"syntology":null},{"paper":"/paper/locally-estimated-global-perturbations-are","slug":"locally-estimated-global-perturbations-are","title":"Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization","date":"2024-05-29","arxiv_id":"2405.18890","n_code_links":1,"syntology":null},{"paper":"/paper/t2v-turbo-breaking-the-quality-bottleneck-of","slug":"t2v-turbo-breaking-the-quality-bottleneck-of","title":"T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback","date":"2024-05-29","arxiv_id":"2405.18750","n_code_links":1,"syntology":null},{"paper":null,"slug":"tvb-c-a-fast-and-flexible-back-end-for-the","title":"TVB C++: A Fast and Flexible Back-End for The Virtual Brain","date":"2024-05-29","arxiv_id":"2405.18788","n_code_links":0,"syntology":null},{"paper":"/paper/understanding-and-minimising-outlier-features","slug":"understanding-and-minimising-outlier-features","title":"Understanding and Minimising Outlier Features in Neural Network Training","date":"2024-05-29","arxiv_id":"2405.19279","n_code_links":1,"syntology":{"ran":6,"of":12,"n_ran_checked":6,"n_instrument":0,"unverified":6,"pointer_only":0,"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) · 6 unverified","official":{"repos":["bobby-he/simplified_transformers"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["found_in_text"]}}},{"paper":null,"slug":"uniform-vs-lognormal-kinematics-in-robots","title":"Uniform vs. Lognormal Kinematics in Robots: Perceptual Preferences for Robotic Movements","date":"2024-05-29","arxiv_id":"2405.19081","n_code_links":0,"syntology":null},{"paper":null,"slug":"wlc-net-a-robust-and-fast-deep-learning-wood","title":"WLC-Net: a robust and fast deep-learning wood-leaf classification method","date":"2024-05-29","arxiv_id":"2405.18737","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-refined-3d-gaussian-representation-for-high","title":"A Refined 3D Gaussian Representation for High-Quality Dynamic Scene Reconstruction","date":"2024-05-28","arxiv_id":"2405.17891","n_code_links":0,"syntology":null},{"paper":"/paper/a-review-and-implementation-of-object","slug":"a-review-and-implementation-of-object","title":"A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic","date":"2024-05-28","arxiv_id":"2405.18387","n_code_links":1,"syntology":null}],"record_sha256":"aa818b1e553082f348a3b0223f81af7b1b3f6716dc99cd805eba19e1c969c5ba","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}