{"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/convolution/papers/11","list_of":"/method/convolution","method":"Convolution","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":11,"pages_in_order":196,"rows_per_page":100,"rows":[1001,1100],"of":19586,"counts":{"archive_papers_tagged":19586,"with_a_code_link":8064,"where_syntology_ran_a_sample":1837,"not_listed_spam_title":0,"listed":19586,"listed_where_code_ran":1837,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1557,"every_run_a_failure_of_syntologys_instrument":280,"listed_with_a_run_with_no_instrument_failure":1557,"listed_every_run_a_failure_of_syntologys_instrument":280,"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/convolution","prev":"/method/convolution/papers/10","next":"/method/convolution/papers/12","papers":[{"paper":null,"slug":"a-novel-shape-guided-transformer-network-for","title":"A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images","date":"2024-12-31","arxiv_id":"2501.00360","n_code_links":0,"syntology":null},{"paper":null,"slug":"advanced-lung-nodule-segmentation-and","title":"Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning","date":"2024-12-31","arxiv_id":"2501.00586","n_code_links":0,"syntology":null},{"paper":null,"slug":"applying-graph-explanation-to-operator-fusion","title":"Applying Graph Explanation to Operator Fusion","date":"2024-12-31","arxiv_id":"2501.00636","n_code_links":0,"syntology":null},{"paper":"/paper/crrg-clip-automatic-generation-of-chest","slug":"crrg-clip-automatic-generation-of-chest","title":"CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs","date":"2024-12-31","arxiv_id":"2501.01989","n_code_links":1,"syntology":null},{"paper":"/paper/dic-rethinking-conv3x3-designs-in-diffusion","slug":"dic-rethinking-conv3x3-designs-in-diffusion","title":"DiC: Rethinking Conv3x3 Designs in Diffusion Models","date":"2024-12-31","arxiv_id":"2501.00603","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yuchuantian/dic"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/lightweight-g-yolov11-advancing-efficient","slug":"lightweight-g-yolov11-advancing-efficient","title":"Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays","date":"2024-12-31","arxiv_id":"2501.00647","n_code_links":1,"syntology":null},{"paper":null,"slug":"reformer-generating-radio-fakes-for-data","title":"ReFormer: Generating Radio Fakes for Data Augmentation","date":"2024-12-31","arxiv_id":"2501.00282","n_code_links":0,"syntology":null},{"paper":null,"slug":"research-on-vehicle-detection-based-on","title":"Research on vehicle detection based on improved YOLOv8 network","date":"2024-12-31","arxiv_id":"2501.00300","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparative-analysis-of-2d-and-3d-resnet","title":"Comparative Analysis of 2D and 3D ResNet Architectures for IDH and MGMT Mutation Detection in Glioma Patients","date":"2024-12-30","arxiv_id":"2412.21091","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-acoustic-scene-classification-in","title":"Improving Acoustic Scene Classification in Low-Resource Conditions","date":"2024-12-30","arxiv_id":"2412.20722","n_code_links":0,"syntology":null},{"paper":"/paper/quantum-diffusion-model-for-quark-and-gluon","slug":"quantum-diffusion-model-for-quark-and-gluon","title":"Quantum Diffusion Model for Quark and Gluon Jet Generation","date":"2024-12-30","arxiv_id":"2412.21082","n_code_links":1,"syntology":null},{"paper":null,"slug":"residual-connection-networks-in-medical-image","title":"Residual Connection Networks in Medical Image Processing: Exploration of ResUnet++ Model Driven by Human Computer Interaction","date":"2024-12-30","arxiv_id":"2412.20709","n_code_links":0,"syntology":null},{"paper":"/paper/sample-correlation-for-fingerprinting-deep","slug":"sample-correlation-for-fingerprinting-deep","title":"Sample Correlation for Fingerprinting Deep Face Recognition","date":"2024-12-30","arxiv_id":"2412.20768","n_code_links":2,"syntology":null},{"paper":null,"slug":"conformable-convolution-for-topologically","title":"Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures","date":"2024-12-29","arxiv_id":"2412.20608","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimizing-ssd-caches-for-cloud-block-storage","title":"Optimizing SSD Caches for Cloud Block Storage Systems Using Machine Learning Approaches","date":"2024-12-29","arxiv_id":"2501.14770","n_code_links":0,"syntology":null},{"paper":null,"slug":"spin-weighted-spherical-harmonics-for","title":"Spin-Weighted Spherical Harmonics for Polarized Light Transport","date":"2024-12-29","arxiv_id":"2501.07582","n_code_links":0,"syntology":null},{"paper":"/paper/a-fuzzy-rank-based-ensemble-of-cnn-models-for-1","slug":"a-fuzzy-rank-based-ensemble-of-cnn-models-for-1","title":"A fuzzy rank-based ensemble of CNN models for MRI segmentation","date":"2024-12-28","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"an-analytic-theory-of-creativity-in","title":"An analytic theory of creativity in convolutional diffusion models","date":"2024-12-28","arxiv_id":"2412.20292","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-transfer-learning-for-medical-image","title":"Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study","date":"2024-12-28","arxiv_id":"2412.20235","n_code_links":0,"syntology":null},{"paper":null,"slug":"geo-convgru-geographically-masked","title":"Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation","date":"2024-12-28","arxiv_id":"2412.20171","n_code_links":0,"syntology":null},{"paper":"/paper/gsplatloc-ultra-precise-camera-localization","slug":"gsplatloc-ultra-precise-camera-localization","title":"GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting","date":"2024-12-28","arxiv_id":"2412.20056","n_code_links":1,"syntology":null},{"paper":"/paper/mobilenetv2-a-lightweight-classification","slug":"mobilenetv2-a-lightweight-classification","title":"MobileNetV2: A lightweight classification model for home-based sleep apnea screening","date":"2024-12-28","arxiv_id":"2412.19967","n_code_links":1,"syntology":null},{"paper":null,"slug":"styleautoencoder-for-manipulating-image","title":"StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN","date":"2024-12-28","arxiv_id":"2412.20164","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-free-group-wise-fully-quantized-winograd","title":"Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales","date":"2024-12-27","arxiv_id":"2412.19867","n_code_links":0,"syntology":null},{"paper":null,"slug":"nijigan-transform-what-you-see-into-anime","title":"NijiGAN: Transform What You See into Anime with Contrastive Semi-Supervised Learning and Neural Ordinary Differential Equations","date":"2024-12-27","arxiv_id":"2412.19455","n_code_links":0,"syntology":null},{"paper":"/paper/robotdiffuse-motion-planning-for-redundant","slug":"robotdiffuse-motion-planning-for-redundant","title":"RobotDiffuse: Motion Planning for Redundant Manipulator based on Diffusion Model","date":"2024-12-27","arxiv_id":"2412.19500","n_code_links":1,"syntology":null},{"paper":null,"slug":"stylerwkv-high-quality-and-high-efficiency","title":"StyleRWKV: High-Quality and High-Efficiency Style Transfer with RWKV-like Architecture","date":"2024-12-27","arxiv_id":"2412.19535","n_code_links":0,"syntology":null},{"paper":null,"slug":"brain-ageing-prediction-using-isolation","title":"Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet)","date":"2024-12-26","arxiv_id":"2412.19017","n_code_links":0,"syntology":null},{"paper":null,"slug":"completion-as-enhancement-a-degradation-aware","title":"Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion","date":"2024-12-26","arxiv_id":"2412.19225","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-convolutional-neural-networks-for","title":"Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images","date":"2024-12-26","arxiv_id":"2412.19362","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-the-network-traffic-classification","title":"Improving the network traffic classification using the Packet Vision approach","date":"2024-12-26","arxiv_id":"2412.19360","n_code_links":0,"syntology":null},{"paper":"/paper/modality-projection-universal-model-for","slug":"modality-projection-universal-model-for","title":"Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation","date":"2024-12-26","arxiv_id":"2412.19026","n_code_links":1,"syntology":null},{"paper":null,"slug":"trajgeos-trajectory-graph-enhanced","title":"TrajGEOS: Trajectory Graph Enhanced Orientation-based Sequential Network for Mobility Prediction","date":"2024-12-26","arxiv_id":"2412.19092","n_code_links":0,"syntology":null},{"paper":"/paper/transformer-based-wireless-capsule-endoscopy","slug":"transformer-based-wireless-capsule-endoscopy","title":"Transformer-Based Wireless Capsule Endoscopy Bleeding Tissue Detection and Classification","date":"2024-12-26","arxiv_id":"2412.19218","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-learning-based-traffic-aware-base","title":"Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks","date":"2024-12-25","arxiv_id":"2412.18983","n_code_links":0,"syntology":null},{"paper":"/paper/distortion-aware-adversarial-attacks-on","slug":"distortion-aware-adversarial-attacks-on","title":"Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors","date":"2024-12-25","arxiv_id":"2412.18815","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-the-adversarial-robustness-of-3","title":"Evaluating the Adversarial Robustness of Detection Transformers","date":"2024-12-25","arxiv_id":"2412.18718","n_code_links":0,"syntology":null},{"paper":null,"slug":"geospatial-data-fusion-combining-lidar-sar","title":"Geospatial Data Fusion: Combining Lidar, SAR, and Optical Imagery with AI for Enhanced Urban Mapping","date":"2024-12-25","arxiv_id":"2412.18994","n_code_links":0,"syntology":null},{"paper":"/paper/mgan-crcm-a-novel-multiple-generative","slug":"mgan-crcm-a-novel-multiple-generative","title":"MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting","date":"2024-12-25","arxiv_id":"2412.19000","n_code_links":1,"syntology":null},{"paper":null,"slug":"position-aware-graph-transformer-for","title":"Position-aware Graph Transformer for Recommendation","date":"2024-12-25","arxiv_id":"2412.18731","n_code_links":0,"syntology":null},{"paper":null,"slug":"tempus-core-area-power-efficient-temporal","title":"Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge DLAs","date":"2024-12-25","arxiv_id":"2412.19002","n_code_links":0,"syntology":null},{"paper":null,"slug":"unified-local-and-global-attention","title":"Unified Local and Global Attention Interaction Modeling for Vision Transformers","date":"2024-12-25","arxiv_id":"2412.18778","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-empirical-analysis-of-federated-learning","title":"An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack","date":"2024-12-24","arxiv_id":"2412.18507","n_code_links":0,"syntology":null},{"paper":null,"slug":"autosculpt-a-pattern-based-model-auto-pruning","title":"AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning","date":"2024-12-24","arxiv_id":"2412.18091","n_code_links":0,"syntology":null},{"paper":null,"slug":"developing-cryptocurrency-trading-strategy","title":"Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms","date":"2024-12-24","arxiv_id":"2412.18202","n_code_links":0,"syntology":null},{"paper":null,"slug":"exact-acceleration-of-subgraph-graph-neural","title":"Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy","date":"2024-12-24","arxiv_id":"2412.18125","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-deep-learning-with-multi-head","title":"Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions","date":"2024-12-24","arxiv_id":"2412.18199","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-directed-speech-enhancement-with-dual","title":"Neural Directed Speech Enhancement with Dual Microphone Array in High Noise Scenario","date":"2024-12-24","arxiv_id":"2412.18141","n_code_links":0,"syntology":null},{"paper":"/paper/parallel-neural-computing-for-scene","slug":"parallel-neural-computing-for-scene","title":"Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing","date":"2024-12-24","arxiv_id":"2412.18165","n_code_links":1,"syntology":null},{"paper":null,"slug":"sampling-bag-of-views-for-open-vocabulary","title":"Sampling Bag of Views for Open-Vocabulary Object Detection","date":"2024-12-24","arxiv_id":"2412.18273","n_code_links":0,"syntology":null},{"paper":null,"slug":"u-mamba-net-a-highly-efficient-mamba-based-u","title":"U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation","date":"2024-12-24","arxiv_id":"2412.18217","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-temporal-convolutional-network-based","title":"A Temporal Convolutional Network-based Approach for Network Intrusion Detection","date":"2024-12-23","arxiv_id":"2412.17452","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-intrinsically-explainable-approach-to","title":"An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling","date":"2024-12-23","arxiv_id":"2412.17258","n_code_links":0,"syntology":null},{"paper":null,"slug":"analysis-of-transferred-pre-trained-deep","title":"Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition","date":"2024-12-23","arxiv_id":"2412.17959","n_code_links":0,"syntology":null},{"paper":null,"slug":"assessment-of-deep-learning-methods-for-the","title":"Assessment of Deep-Learning Methods for the Enhancement of Experimental Low Dose Dental CBCT Volumes","date":"2024-12-23","arxiv_id":"2412.17423","n_code_links":0,"syntology":null},{"paper":null,"slug":"collaborative-optimization-in-financial-data","title":"Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt","date":"2024-12-23","arxiv_id":"2412.17314","n_code_links":0,"syntology":null},{"paper":"/paper/comprehensive-multi-modal-prototypes-are","slug":"comprehensive-multi-modal-prototypes-are","title":"Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection","date":"2024-12-23","arxiv_id":"2412.17800","n_code_links":1,"syntology":null},{"paper":"/paper/layerdropback-a-universally-applicable","slug":"layerdropback-a-universally-applicable","title":"LayerDropBack: A Universally Applicable Approach for Accelerating Training of Deep Networks","date":"2024-12-23","arxiv_id":"2412.18027","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-dynamic-local-context","title":"Learning Dynamic Local Context Representations for Infrared Small Target Detection","date":"2024-12-23","arxiv_id":"2412.17401","n_code_links":0,"syntology":null},{"paper":"/paper/qtseg-a-query-token-based-architecture-for","slug":"qtseg-a-query-token-based-architecture-for","title":"QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation","date":"2024-12-23","arxiv_id":"2412.17241","n_code_links":1,"syntology":null},{"paper":"/paper/singular-value-scaling-efficient-generative","slug":"singular-value-scaling-efficient-generative","title":"Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement","date":"2024-12-23","arxiv_id":"2412.17387","n_code_links":1,"syntology":null},{"paper":null,"slug":"uroadnet-dual-sparse-attentive-u-net-for","title":"URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction","date":"2024-12-23","arxiv_id":"2412.17573","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-classification-of-high-frequency","title":"Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models","date":"2024-12-22","arxiv_id":"2412.17145","n_code_links":0,"syntology":null},{"paper":"/paper/pinwheel-shaped-convolution-and-scale-based","slug":"pinwheel-shaped-convolution-and-scale-based","title":"Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection","date":"2024-12-22","arxiv_id":"2412.16986","n_code_links":1,"syntology":null},{"paper":"/paper/enhancing-contrastive-learning-inspired-by","slug":"enhancing-contrastive-learning-inspired-by","title":"Enhancing Contrastive Learning Inspired by the Philosophy of \"The Blind Men and the Elephant\"","date":"2024-12-21","arxiv_id":"2412.16522","n_code_links":1,"syntology":null},{"paper":"/paper/hierarchical-temporal-convolution-network","slug":"hierarchical-temporal-convolution-network","title":"Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity Recognition","date":"2024-12-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/mamba-seunet-mamba-unet-for-monaural-speech","slug":"mamba-seunet-mamba-unet-for-monaural-speech","title":"Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement","date":"2024-12-21","arxiv_id":"2412.16626","n_code_links":1,"syntology":null},{"paper":null,"slug":"object-detection-approaches-to-identifying","title":"Object Detection Approaches to Identifying Hand Images with High Forensic Values","date":"2024-12-21","arxiv_id":"2412.16431","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-enhancing-network-throughput-using","title":"On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds","date":"2024-12-21","arxiv_id":"2412.16673","n_code_links":0,"syntology":null},{"paper":null,"slug":"sensitive-image-classification-by-vision","title":"Sensitive Image Classification by Vision Transformers","date":"2024-12-21","arxiv_id":"2412.16446","n_code_links":0,"syntology":null},{"paper":"/paper/mapping-the-mind-of-an-instruction-based","slug":"mapping-the-mind-of-an-instruction-based","title":"Mapping the Mind of an Instruction-based Image Editing using SMILE","date":"2024-12-20","arxiv_id":"2412.16277","n_code_links":2,"syntology":null},{"paper":null,"slug":"mask-radarnet-enhancing-transformer-with","title":"Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving","date":"2024-12-20","arxiv_id":"2412.15595","n_code_links":0,"syntology":null},{"paper":"/paper/real-time-tea-leaf-disease-detection-using","slug":"real-time-tea-leaf-disease-detection-using","title":"Real-Time Tea Leaf Disease Detection Using Deep Learning-Based Models","date":"2024-12-20","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"seagrassfinder-deep-learning-for-eelgrass","title":"SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild","date":"2024-12-20","arxiv_id":"2412.16147","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-radiograph-anatomical-region","title":"Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?","date":"2024-12-20","arxiv_id":"2412.15967","n_code_links":0,"syntology":null},{"paper":null,"slug":"toward-appearance-based-autonomous-landing","title":"Toward Appearance-based Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environments","date":"2024-12-20","arxiv_id":"2412.15486","n_code_links":0,"syntology":null},{"paper":"/paper/understanding-when-and-why-graph-attention","slug":"understanding-when-and-why-graph-attention","title":"Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models","date":"2024-12-20","arxiv_id":"2412.15496","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"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":["mztmzt/gat_csbm"],"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":"watertox-the-art-of-simplicity-in-universal","title":"Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation","date":"2024-12-20","arxiv_id":"2412.15924","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-multi-fidelity-graph-u-net-model-for","title":"A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations","date":"2024-12-19","arxiv_id":"2412.15372","n_code_links":0,"syntology":null},{"paper":"/paper/diffsim-taming-diffusion-models-for","slug":"diffsim-taming-diffusion-models-for","title":"DiffSim: Taming Diffusion Models for Evaluating Visual Similarity","date":"2024-12-19","arxiv_id":"2412.14580","n_code_links":1,"syntology":null},{"paper":null,"slug":"exploring-machine-learning-engineering-for","title":"Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)","date":"2024-12-19","arxiv_id":"2412.15347","n_code_links":0,"syntology":null},{"paper":null,"slug":"federated-learning-for-coronary-artery-plaque","title":"Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration","date":"2024-12-19","arxiv_id":"2412.15307","n_code_links":0,"syntology":null},{"paper":"/paper/geopro-net-learning-interpretable","slug":"geopro-net-learning-interpretable","title":"GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping","date":"2024-12-19","arxiv_id":"2412.15353","n_code_links":1,"syntology":null},{"paper":"/paper/hec-gcn-hypergraph-enhanced-cascading-graph","slug":"hec-gcn-hypergraph-enhanced-cascading-graph","title":"HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation","date":"2024-12-19","arxiv_id":"2412.14476","n_code_links":1,"syntology":null},{"paper":null,"slug":"maximising-histopathology-segmentation-using","title":"Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision","date":"2024-12-19","arxiv_id":"2412.15389","n_code_links":0,"syntology":null},{"paper":null,"slug":"mitraclip-device-automated-localization-in-3d","title":"MitraClip Device Automated Localization in 3D Transesophageal Echocardiography via Deep Learning","date":"2024-12-19","arxiv_id":"2412.15013","n_code_links":0,"syntology":null},{"paper":"/paper/msa-gcn-exploiting-multi-scale-temporal","slug":"msa-gcn-exploiting-multi-scale-temporal","title":"MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition","date":"2024-12-19","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"uncertainty-estimation-for-super-resolution","title":"Uncertainty Estimation for Super-Resolution using ESRGAN","date":"2024-12-19","arxiv_id":"2412.15439","n_code_links":0,"syntology":null},{"paper":null,"slug":"combining-aggregated-attention-and","title":"Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks","date":"2024-12-18","arxiv_id":"2412.13553","n_code_links":0,"syntology":null},{"paper":"/paper/ha-rdet-hybrid-anchor-rotation-detector-for","slug":"ha-rdet-hybrid-anchor-rotation-detector-for","title":"HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection","date":"2024-12-18","arxiv_id":"2412.14379","n_code_links":1,"syntology":null},{"paper":"/paper/model-decides-how-to-tokenize-adaptive-dna","slug":"model-decides-how-to-tokenize-adaptive-dna","title":"Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA","date":"2024-12-18","arxiv_id":"2412.13716","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":2,"n_instrument":1,"unverified":1,"pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["qiaoqiaolf/mxdna"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["found_in_text","official"]}}},{"paper":null,"slug":"usefuse-utile-stride-for-enhanced-performance","title":"USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks","date":"2024-12-18","arxiv_id":"2412.13724","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-advantage-based-optimization-method-for","title":"An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space","date":"2024-12-17","arxiv_id":"2412.12605","n_code_links":0,"syntology":null},{"paper":null,"slug":"distribution-free-uncertainty-quantification-2","title":"Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework","date":"2024-12-17","arxiv_id":"2412.12597","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-event-based-semantic-segmentation","title":"Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks","date":"2024-12-17","arxiv_id":"2412.12843","n_code_links":0,"syntology":null},{"paper":null,"slug":"fruit-deformity-classification-through-single","title":"Fruit Deformity Classification through Single-Input and Multi-Input Architectures based on CNN Models using Real and Synthetic Images","date":"2024-12-17","arxiv_id":"2412.12966","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-spring-neural-odes-for-link-sign","title":"Graph Spring Neural ODEs for Link Sign Prediction","date":"2024-12-17","arxiv_id":"2412.12916","n_code_links":0,"syntology":null},{"paper":null,"slug":"license-plate-detection-and-character","title":"License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation","date":"2024-12-17","arxiv_id":"2412.12572","n_code_links":0,"syntology":null},{"paper":null,"slug":"measurement-of-medial-elbow-joint-space-using","title":"Measurement of Medial Elbow Joint Space using Landmark Detection","date":"2024-12-17","arxiv_id":"2412.13010","n_code_links":0,"syntology":null},{"paper":null,"slug":"shared-attention-based-autoencoder-with","title":"Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification","date":"2024-12-17","arxiv_id":"2412.12651","n_code_links":0,"syntology":null}],"record_sha256":"7986b8dba6e65e0565bb5c19311961161dcc53fd380637958e07c4fda9c09b93","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}