{"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/global-average-pooling/papers/5","list_of":"/method/global-average-pooling","method":"Global Average Pooling","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":5,"pages_in_order":41,"rows_per_page":100,"rows":[401,500],"of":4076,"counts":{"archive_papers_tagged":4076,"with_a_code_link":1827,"where_syntology_ran_a_sample":506,"not_listed_spam_title":0,"listed":4076,"listed_where_code_ran":506,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":421,"every_run_a_failure_of_syntologys_instrument":85,"listed_with_a_run_with_no_instrument_failure":421,"listed_every_run_a_failure_of_syntologys_instrument":85,"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/global-average-pooling","prev":"/method/global-average-pooling/papers/4","next":"/method/global-average-pooling/papers/6","papers":[{"paper":"/paper/first-line-of-defense-a-robust-first-layer","slug":"first-line-of-defense-a-robust-first-layer","title":"First line of defense: A robust first layer mitigates adversarial attacks","date":"2024-08-21","arxiv_id":"2408.11680","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-learning-based-classification-of-2","title":"Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals","date":"2024-08-20","arxiv_id":"2408.10816","n_code_links":0,"syntology":null},{"paper":null,"slug":"multichannel-attention-networks-with","title":"Multichannel Attention Networks with Ensembled Transfer Learning to Recognize Bangla Handwritten Charecter","date":"2024-08-20","arxiv_id":"2408.10955","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-foundation-models-for-the-industrial","title":"Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics","date":"2024-08-20","arxiv_id":"2408.10720","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-bess-and-grid-setpoints-optimization","title":"Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing","date":"2024-08-19","arxiv_id":"2408.09989","n_code_links":0,"syntology":null},{"paper":"/paper/adaresnet-enhancing-residual-networks-with","slug":"adaresnet-enhancing-residual-networks-with","title":"AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration","date":"2024-08-19","arxiv_id":"2408.09958","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-image-based-face-and-eye-tracking","title":"Evaluating Image-Based Face and Eye Tracking with Event Cameras","date":"2024-08-19","arxiv_id":"2408.10395","n_code_links":0,"syntology":null},{"paper":"/paper/idd-yolov5-a-lightweight-insulator-defect","slug":"idd-yolov5-a-lightweight-insulator-defect","title":"IDD-YOLOv5: A Lightweight Insulator Defect Real-time Detection Algorithm","date":"2024-08-19","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-automation-of-human-stage-of-decay","title":"Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach","date":"2024-08-19","arxiv_id":"2408.10414","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-robust-federated-image-classification","title":"Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing","date":"2024-08-19","arxiv_id":"2408.10024","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-learning-empowered-modulation","title":"Machine learning empowered Modulation detection for OFDM-based signals","date":"2024-08-15","arxiv_id":"2408.08179","n_code_links":0,"syntology":null},{"paper":"/paper/treat-stillness-with-movement-remote-sensing","slug":"treat-stillness-with-movement-remote-sensing","title":"Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining","date":"2024-08-15","arxiv_id":"2408.08078","n_code_links":1,"syntology":null},{"paper":"/paper/cnn-jepa-self-supervised-pretraining","slug":"cnn-jepa-self-supervised-pretraining","title":"CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture","date":"2024-08-14","arxiv_id":"2408.07514","n_code_links":1,"syntology":null},{"paper":"/paper/cross-view-geolocalization-and-disaster","slug":"cross-view-geolocalization-and-disaster","title":"Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN","date":"2024-08-13","arxiv_id":"2408.06761","n_code_links":1,"syntology":null},{"paper":null,"slug":"oracle-bone-script-similiar-character","title":"Oracle Bone Script Similiar Character Screening Approach Based on Simsiam Contrastive Learning and Supervised Learning","date":"2024-08-13","arxiv_id":"2408.06811","n_code_links":0,"syntology":null},{"paper":null,"slug":"advanced-vision-transformers-and-open-set","title":"Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies","date":"2024-08-12","arxiv_id":"2408.06457","n_code_links":0,"syntology":null},{"paper":"/paper/benchmarking-tree-species-classification-from","slug":"benchmarking-tree-species-classification-from","title":"Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset","date":"2024-08-12","arxiv_id":"2408.06507","n_code_links":2,"syntology":null},{"paper":null,"slug":"layer-specific-optimization-sensitivity-based","title":"Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Search","date":"2024-08-12","arxiv_id":"2408.06024","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-explainable-non-local-network-for-covid-19","title":"An Explainable Non-local Network for COVID-19 Diagnosis","date":"2024-08-08","arxiv_id":"2408.04300","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-and-accurate-pneumonia-detection","slug":"efficient-and-accurate-pneumonia-detection","title":"Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach","date":"2024-08-08","arxiv_id":"2408.04290","n_code_links":1,"syntology":null},{"paper":"/paper/pushpull-net-inhibition-driven-resnet-robust","slug":"pushpull-net-inhibition-driven-resnet-robust","title":"PushPull-Net: Inhibition-driven ResNet robust to image corruptions","date":"2024-08-07","arxiv_id":"2408.04077","n_code_links":1,"syntology":null},{"paper":"/paper/real-time-event-recognition-of-long-distance","slug":"real-time-event-recognition-of-long-distance","title":"Real-time Event Recognition of Long-distance Distributed Vibration Sensing with Knowledge Distillation and Hardware Acceleration","date":"2024-08-07","arxiv_id":"2408.03647","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-03030","title":"Nighttime Pedestrian Detection Based on Fore-Background Contrast Learning","date":"2024-08-06","arxiv_id":"2408.03030","n_code_links":0,"syntology":null},{"paper":null,"slug":"post-mortem-human-iris-segmentation-analysis","title":"Post-Mortem Human Iris Segmentation Analysis with Deep Learning","date":"2024-08-06","arxiv_id":"2408.03448","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02496","slug":"2408-02496","title":"Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts","date":"2024-08-05","arxiv_id":"2408.02496","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02780","title":"LR-Net: A Lightweight and Robust Network for Infrared Small Target Detection","date":"2024-08-05","arxiv_id":"2408.02780","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01752","title":"Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification","date":"2024-08-03","arxiv_id":"2408.01752","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02692","title":"Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case of the ungauged Rheraya watershed, Morocco","date":"2024-08-03","arxiv_id":"2408.02692","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01031","slug":"2408-01031","title":"POA: Pre-training Once for Models of All Sizes","date":"2024-08-02","arxiv_id":"2408.01031","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-00329","title":"OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack","date":"2024-08-01","arxiv_id":"2408.00329","n_code_links":0,"syntology":null},{"paper":"/paper/3d-u-kan-implementation-for-multi-modal-mri","slug":"3d-u-kan-implementation-for-multi-modal-mri","title":"UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation","date":"2024-08-01","arxiv_id":"2408.00273","n_code_links":1,"syntology":null},{"paper":null,"slug":"realizing-unaligned-block-wise-pruning-for","title":"Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices","date":"2024-07-29","arxiv_id":"2407.19644","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-companion-learning-enhancing","title":"Deep Companion Learning: Enhancing Generalization Through Historical Consistency","date":"2024-07-26","arxiv_id":"2407.18821","n_code_links":0,"syntology":null},{"paper":null,"slug":"roberta-resnext-and-bilstm-with-self","title":"RoBERTa, ResNeXt and BiLSTM with self-attention: The ultimate trio for customer sentiment analysis","date":"2024-07-25","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/sam-mil-a-spatial-contextual-aware-multiple","slug":"sam-mil-a-spatial-contextual-aware-multiple","title":"SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification","date":"2024-07-25","arxiv_id":"2407.17689","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhanced-deep-learning-methodologies-and-mri","title":"Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population","date":"2024-07-24","arxiv_id":"2407.17324","n_code_links":0,"syntology":null},{"paper":null,"slug":"spiking-neural-networks-in-vertical-federated","title":"Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs","date":"2024-07-24","arxiv_id":"2407.17672","n_code_links":0,"syntology":null},{"paper":"/paper/2408-02674","slug":"2408-02674","title":"On Feasibility of Intent Obfuscating Attacks","date":"2024-07-22","arxiv_id":"2408.02674","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-hardware-fault-tolerance-in","title":"Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms","date":"2024-07-21","arxiv_id":"2407.15283","n_code_links":0,"syntology":null},{"paper":null,"slug":"non-reference-quality-assessment-for-medical","title":"Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs","date":"2024-07-20","arxiv_id":"2407.14994","n_code_links":0,"syntology":null},{"paper":null,"slug":"fusion-flow-enhanced-graph-pooling-residual","title":"Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicles Surveillance in Day and Night Dual Visions","date":"2024-07-17","arxiv_id":"2407.12647","n_code_links":0,"syntology":null},{"paper":"/paper/hyperaggregation-aggregating-over-graph-edges","slug":"hyperaggregation-aggregating-over-graph-edges","title":"HyperAggregation: Aggregating over Graph Edges with Hypernetworks","date":"2024-07-16","arxiv_id":"2407.11596","n_code_links":1,"syntology":null},{"paper":null,"slug":"emotion-detection-through-body-gesture-and","title":"Emotion Detection through Body Gesture and Face","date":"2024-07-13","arxiv_id":"2407.09913","n_code_links":0,"syntology":null},{"paper":null,"slug":"application-of-artificial-intelligence-in-2","title":"Application of Artificial Intelligence in Supporting Healthcare Professionals and Caregivers in Treatment of Autistic Children","date":"2024-07-12","arxiv_id":"2407.08902","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-adversarial-defense-against-multilevel","title":"Deep Adversarial Defense Against Multilevel-Lp Attacks","date":"2024-07-12","arxiv_id":"2407.09251","n_code_links":0,"syntology":null},{"paper":null,"slug":"dynamic-neural-network-with-memristive-cim","title":"Dynamic neural network with memristive CIM and CAM for 2D and 3D vision","date":"2024-07-12","arxiv_id":"2407.08990","n_code_links":0,"syntology":null},{"paper":null,"slug":"layer-wise-relevance-propagation-with","title":"Layer-Wise Relevance Propagation with Conservation Property for ResNet","date":"2024-07-12","arxiv_id":"2407.09115","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-dental-diagnostics-enhanced","title":"Improving Dental Diagnostics: Enhanced Convolution with Spatial Attention Mechanism","date":"2024-07-11","arxiv_id":"2407.08114","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-transfer-learning-in-deep-learning","title":"Transfer Learning for Wildlife Classification: Evaluating YOLOv8 against DenseNet, ResNet, and VGGNet on a Custom Dataset","date":"2024-07-10","arxiv_id":"2408.00002","n_code_links":0,"syntology":null},{"paper":null,"slug":"probabilistic-learning-rate-scheduler-with","title":"Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning Practice","date":"2024-07-10","arxiv_id":"2407.07613","n_code_links":0,"syntology":null},{"paper":null,"slug":"real-time-system-optimal-traffic-routing","title":"Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?","date":"2024-07-10","arxiv_id":"2407.07364","n_code_links":0,"syntology":null},{"paper":null,"slug":"convnlp-image-based-ai-text-detection","title":"ConvNLP: Image-based AI Text Detection","date":"2024-07-09","arxiv_id":"2407.07225","n_code_links":0,"syntology":null},{"paper":null,"slug":"characterization-of-topological-structures-in","title":"Characterization of topological structures in different neural network architectures","date":"2024-07-08","arxiv_id":"2407.06286","n_code_links":0,"syntology":null},{"paper":null,"slug":"embanet-a-flexible-efffcient-multi-branch","title":"EMBANet: A Flexible Efffcient Multi-branch Attention Network","date":"2024-07-07","arxiv_id":"2407.05418","n_code_links":0,"syntology":null},{"paper":null,"slug":"explainable-ai-comparative-analysis-of-normal","title":"Explainable AI: Comparative Analysis of Normal and Dilated ResNet Models for Fundus Disease Classification","date":"2024-07-07","arxiv_id":"2407.05440","n_code_links":0,"syntology":null},{"paper":null,"slug":"basisn-reprogramming-free-rram-based-in","title":"BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks","date":"2024-07-04","arxiv_id":"2407.03738","n_code_links":0,"syntology":null},{"paper":null,"slug":"celeb-fbi-a-benchmark-dataset-on-human-full","title":"Celeb-FBI: A Benchmark Dataset on Human Full Body Images and Age, Gender, Height and Weight Estimation using Deep Learning Approach","date":"2024-07-03","arxiv_id":"2407.03486","n_code_links":0,"syntology":null},{"paper":"/paper/flowcon-out-of-distribution-detection-using","slug":"flowcon-out-of-distribution-detection-using","title":"FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning","date":"2024-07-03","arxiv_id":"2407.03489","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":["saandeepa93/FlowCon_OOD"],"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":"iris-and-palmprint-multimodal-biometric","title":"Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines","date":"2024-07-03","arxiv_id":"2407.03498","n_code_links":0,"syntology":null},{"paper":null,"slug":"classification-of-power-quality-disturbances","title":"Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism","date":"2024-07-02","arxiv_id":"2407.04739","n_code_links":0,"syntology":null},{"paper":null,"slug":"pleas-merging-models-with-permutations-and","title":"PLeaS -- Merging Models with Permutations and Least Squares","date":"2024-07-02","arxiv_id":"2407.02447","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-for-automated-detection-of","title":"Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model","date":"2024-07-01","arxiv_id":"2407.00967","n_code_links":0,"syntology":null},{"paper":null,"slug":"optimized-learning-for-x-ray-image","title":"Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies","date":"2024-07-01","arxiv_id":"2407.01705","n_code_links":0,"syntology":null},{"paper":"/paper/rescaling-large-datasets-based-on-validation","slug":"rescaling-large-datasets-based-on-validation","title":"Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained Network","date":"2024-07-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/sign-gradient-descent-based-neuronal-dynamics","slug":"sign-gradient-descent-based-neuronal-dynamics","title":"Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network","date":"2024-07-01","arxiv_id":"2407.01645","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":12,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["snuhcs/snn_signgd"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/analysis-of-modern-computer-vision-models-for","slug":"analysis-of-modern-computer-vision-models-for","title":"Analysis of Modern Computer Vision Models for Blood Cell Classification","date":"2024-06-30","arxiv_id":"2407.00759","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-reinforcement-learning-strategies-in","title":"Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity","date":"2024-06-29","arxiv_id":"2407.09557","n_code_links":0,"syntology":null},{"paper":"/paper/explore-as-a-storm-exploit-as-a-raindrop-on","slug":"explore-as-a-storm-exploit-as-a-raindrop-on","title":"Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent","date":"2024-06-28","arxiv_id":"2406.20037","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-impact-of-model-size-on-catastrophic","title":"The impact of model size on catastrophic forgetting in Online Continual Learning","date":"2024-06-28","arxiv_id":"2407.00176","n_code_links":0,"syntology":null},{"paper":"/paper/automated-web-based-malaria-detection-system","slug":"automated-web-based-malaria-detection-system","title":"Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques: A Comparative Analysis","date":"2024-06-27","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/automated-web-based-malaria-detection-system-1","slug":"automated-web-based-malaria-detection-system-1","title":"Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques","date":"2024-06-27","arxiv_id":"2407.00120","n_code_links":1,"syntology":null},{"paper":"/paper/automatic-speech-recognition-for-the-nepali","slug":"automatic-speech-recognition-for-the-nepali","title":"Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet","date":"2024-06-25","arxiv_id":"2406.17825","n_code_links":1,"syntology":null},{"paper":null,"slug":"performance-comparison-of-deep-rl-algorithms-1","title":"Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing","date":"2024-06-25","arxiv_id":"2407.02521","n_code_links":0,"syntology":null},{"paper":"/paper/skd-tstsan-three-stream-temporal-shift","slug":"skd-tstsan-three-stream-temporal-shift","title":"Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition","date":"2024-06-25","arxiv_id":"2406.17538","n_code_links":1,"syntology":null},{"paper":"/paper/demonstrating-the-efficacy-of-kolmogorov","slug":"demonstrating-the-efficacy-of-kolmogorov","title":"Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks","date":"2024-06-21","arxiv_id":"2406.14916","n_code_links":1,"syntology":null},{"paper":null,"slug":"system-description-for-the-displace-speaker","title":"System Description for the Displace Speaker Diarization Challenge 2023","date":"2024-06-20","arxiv_id":"2406.15516","n_code_links":0,"syntology":null},{"paper":null,"slug":"development-of-a-dual-input-neural-model-for","title":"Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery","date":"2024-06-19","arxiv_id":"2406.13688","n_code_links":0,"syntology":null},{"paper":"/paper/hierarchical-associative-memory-parallelized","slug":"hierarchical-associative-memory-parallelized","title":"Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking","date":"2024-06-18","arxiv_id":"2406.12220","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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["Toshihiro-Ota/paramixer"],"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/mixing-natural-and-synthetic-images-for","slug":"mixing-natural-and-synthetic-images-for","title":"MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations","date":"2024-06-18","arxiv_id":"2406.12368","n_code_links":1,"syntology":null},{"paper":"/paper/scale-translation-equivariant-network-for","slug":"scale-translation-equivariant-network-for","title":"Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization","date":"2024-06-18","arxiv_id":"2406.13060","n_code_links":1,"syntology":null},{"paper":null,"slug":"spatial-sequence-attention-network-for","title":"Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images","date":"2024-06-18","arxiv_id":"2406.12683","n_code_links":0,"syntology":null},{"paper":"/paper/deep-reinforcement-learning-based-aoi-aware","slug":"deep-reinforcement-learning-based-aoi-aware","title":"Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks","date":"2024-06-17","arxiv_id":"2406.11245","n_code_links":1,"syntology":null},{"paper":"/paper/pick-or-mix-dynamic-channel-sampling-for-1","slug":"pick-or-mix-dynamic-channel-sampling-for-1","title":"Pick-or-Mix: Dynamic Channel Sampling for ConvNets","date":"2024-06-16","arxiv_id":"2406.10935","n_code_links":1,"syntology":null},{"paper":"/paper/a-late-stage-bitemporal-feature-fusion","slug":"a-late-stage-bitemporal-feature-fusion","title":"A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection","date":"2024-06-15","arxiv_id":"2406.10678","n_code_links":1,"syntology":null},{"paper":null,"slug":"comparison-of-fine-tuning-strategies-for","title":"Comparison of fine-tuning strategies for transfer learning in medical image classification","date":"2024-06-14","arxiv_id":"2406.10050","n_code_links":0,"syntology":null},{"paper":null,"slug":"mapvision-cvpr-2024-autonomous-grand","title":"MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report","date":"2024-06-14","arxiv_id":"2406.10125","n_code_links":0,"syntology":null},{"paper":"/paper/towards-scalable-and-versatile-weight-space","slug":"towards-scalable-and-versatile-weight-space","title":"Towards Scalable and Versatile Weight Space Learning","date":"2024-06-14","arxiv_id":"2406.09997","n_code_links":1,"syntology":{"ran":11,"of":15,"n_ran_checked":11,"n_instrument":0,"unverified":4,"pointer_only":15,"phrase":"11 ran (of which 7 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["hsg-aiml/sane"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":7,"n_ran_no_instrument_failure":11,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"optimizing-deep-reinforcement-learning-for-1","title":"Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control","date":"2024-06-12","arxiv_id":"2407.02503","n_code_links":0,"syntology":null},{"paper":null,"slug":"multimodal-emotion-recognition-based-on","title":"Multimodal Emotion Recognition based on Facial Expressions, Speech, and EEG","date":"2024-06-11","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/semantic-aware-spectrum-sharing-in-internet","slug":"semantic-aware-spectrum-sharing-in-internet","title":"Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning","date":"2024-06-11","arxiv_id":"2406.07213","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-wt-resnet-based-fault-diagnosis-model-for","title":"A WT-ResNet based fault diagnosis model for the urban rail train transmission system","date":"2024-06-10","arxiv_id":"2406.06031","n_code_links":0,"syntology":null},{"paper":null,"slug":"latent-representation-matters-human-like","title":"Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks","date":"2024-06-10","arxiv_id":"2406.06079","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-objective-neural-architecture-search-5","title":"Multi-Objective Neural Architecture Search for In-Memory Computing","date":"2024-06-10","arxiv_id":"2406.06746","n_code_links":0,"syntology":null},{"paper":"/paper/anomaly-multi-classification-in-industrial","slug":"anomaly-multi-classification-in-industrial","title":"Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task","date":"2024-06-09","arxiv_id":"2406.05645","n_code_links":1,"syntology":null},{"paper":"/paper/real-time-object-detection-and-tracking-using","slug":"real-time-object-detection-and-tracking-using","title":"Real-time object detection and tracking using flash LiDAR imagery","date":"2024-06-07","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"concurrent-training-and-layer-pruning-of-deep","title":"Concurrent Training and Layer Pruning of Deep Neural Networks","date":"2024-06-06","arxiv_id":"2406.04549","n_code_links":0,"syntology":null},{"paper":"/paper/shadow-and-light-digitally-reconstructed","slug":"shadow-and-light-digitally-reconstructed","title":"Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification","date":"2024-06-06","arxiv_id":"2406.03688","n_code_links":1,"syntology":null},{"paper":null,"slug":"alignment-calibration-machine-unlearning-for","title":"Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing","date":"2024-06-05","arxiv_id":"2406.03603","n_code_links":0,"syntology":null},{"paper":"/paper/hass-hardware-aware-sparsity-search-for","slug":"hass-hardware-aware-sparsity-search-for","title":"HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator","date":"2024-06-05","arxiv_id":"2406.03088","n_code_links":1,"syntology":null},{"paper":"/paper/sample-specific-masks-for-visual","slug":"sample-specific-masks-for-visual","title":"Sample-specific Masks for Visual Reprogramming-based Prompting","date":"2024-06-05","arxiv_id":"2406.03150","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"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) · 0 unverified","official":{"repos":["tmlr-group/smm"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}}],"record_sha256":"470f10885aa23040baa9b93d0f42395471b5bca65f3735f1f9e7f03b3f6b5dc6","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}