{"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/52","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":52,"pages_in_order":196,"rows_per_page":100,"rows":[5101,5200],"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/51","next":"/method/convolution/papers/53","papers":[{"paper":null,"slug":"image-reconstruction-for-accelerated-mr-scan","title":"Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks","date":"2023-06-05","arxiv_id":"2306.02886","n_code_links":0,"syntology":null},{"paper":"/paper/inflated-3d-convolution-transformer-for","slug":"inflated-3d-convolution-transformer-for","title":"Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos","date":"2023-06-05","arxiv_id":"2306.02548","n_code_links":1,"syntology":null},{"paper":"/paper/towards-better-explanations-for-object","slug":"towards-better-explanations-for-object","title":"Towards Better Explanations for Object Detection","date":"2023-06-05","arxiv_id":"2306.02744","n_code_links":1,"syntology":null},{"paper":"/paper/unveiling-the-two-faced-truth-disentangling","slug":"unveiling-the-two-faced-truth-disentangling","title":"Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection","date":"2023-06-05","arxiv_id":"2306.03002","n_code_links":1,"syntology":null},{"paper":null,"slug":"cross-cbam-a-lightweight-network-for-scene","title":"Cross-CBAM: A Lightweight network for Scene Segmentation","date":"2023-06-04","arxiv_id":"2306.02306","n_code_links":0,"syntology":null},{"paper":null,"slug":"cross-lktcn-modern-convolution-utilizing","title":"Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting","date":"2023-06-04","arxiv_id":"2306.02326","n_code_links":0,"syntology":null},{"paper":null,"slug":"estisr-adapting-efficient-scene-text-image","title":"ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes","date":"2023-06-04","arxiv_id":"2306.02443","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-predict-few-shot-predictors-for","title":"Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search","date":"2023-06-04","arxiv_id":"2306.02459","n_code_links":0,"syntology":null},{"paper":null,"slug":"sanity-checks-for-saliency-methods-explaining","title":"Sanity Checks for Saliency Methods Explaining Object Detectors","date":"2023-06-04","arxiv_id":"2306.02424","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-improved-model-for-diabetic-retinopathy","title":"An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning","date":"2023-06-03","arxiv_id":"2308.05178","n_code_links":0,"syntology":null},{"paper":null,"slug":"low-complexity-acoustic-scene-classification-2","title":"Low-Complexity Acoustic Scene Classification Using Data Augmentation and Lightweight ResNet","date":"2023-06-03","arxiv_id":"2306.02054","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-vision-transformer-with-residual-in","title":"A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification","date":"2023-06-02","arxiv_id":"2306.01594","n_code_links":0,"syntology":null},{"paper":"/paper/an-attentive-based-generative-model-for","slug":"an-attentive-based-generative-model-for","title":"An Attentive-based Generative Model for Medical Image Synthesis","date":"2023-06-02","arxiv_id":"2306.01562","n_code_links":1,"syntology":null},{"paper":"/paper/conditional-generation-from-unconditional","slug":"conditional-generation-from-unconditional","title":"Conditional Generation from Unconditional Diffusion Models using Denoiser Representations","date":"2023-06-02","arxiv_id":"2306.01900","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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["cvlab-stonybrook/fewshot-conditional-diffusion"],"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":"deep-q-learning-versus-proximal-policy","title":"Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task","date":"2023-06-02","arxiv_id":"2306.01451","n_code_links":0,"syntology":null},{"paper":"/paper/deepscribe-localization-and-classification-of","slug":"deepscribe-localization-and-classification-of","title":"DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning","date":"2023-06-02","arxiv_id":"2306.01268","n_code_links":1,"syntology":null},{"paper":null,"slug":"erfrelu-adaptive-activation-function-for-deep","title":"ErfReLU: Adaptive Activation Function for Deep Neural Network","date":"2023-06-02","arxiv_id":"2306.01822","n_code_links":0,"syntology":null},{"paper":null,"slug":"gans-and-alternative-methods-of-synthetic","title":"GANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing","date":"2023-06-02","arxiv_id":"2306.01469","n_code_links":0,"syntology":null},{"paper":"/paper/group-channel-pruning-and-spatial-attention","slug":"group-channel-pruning-and-spatial-attention","title":"Group channel pruning and spatial attention distilling for object detection","date":"2023-06-02","arxiv_id":"2306.01526","n_code_links":1,"syntology":null},{"paper":null,"slug":"hd-demucs-general-speech-restoration-with","title":"HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders","date":"2023-06-02","arxiv_id":"2306.01411","n_code_links":0,"syntology":null},{"paper":"/paper/relu-to-the-rescue-improve-your-on-policy","slug":"relu-to-the-rescue-improve-your-on-policy","title":"ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages","date":"2023-06-02","arxiv_id":"2306.01460","n_code_links":1,"syntology":null},{"paper":null,"slug":"sub-meter-tree-height-mapping-of-california","title":"Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model","date":"2023-06-02","arxiv_id":"2306.01936","n_code_links":0,"syntology":null},{"paper":null,"slug":"tensor-decomposition-for-minimization-of-e2e","title":"Tensor decomposition for minimization of E2E SLU model toward on-device processing","date":"2023-06-02","arxiv_id":"2306.01247","n_code_links":0,"syntology":null},{"paper":"/paper/transformer-based-annotation-bias-aware","slug":"transformer-based-annotation-bias-aware","title":"Transformer-based Annotation Bias-aware Medical Image Segmentation","date":"2023-06-02","arxiv_id":"2306.01340","n_code_links":1,"syntology":null},{"paper":null,"slug":"4dsr-gcn-4d-video-point-cloud-upsampling","title":"4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks","date":"2023-06-01","arxiv_id":"2306.01081","n_code_links":0,"syntology":null},{"paper":"/paper/a-multi-dimensional-deep-structured-state","slug":"a-multi-dimensional-deep-structured-state","title":"A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models","date":"2023-06-01","arxiv_id":"2306.00331","n_code_links":1,"syntology":null},{"paper":"/paper/a-robust-feature-downsampling-module-for","slug":"a-robust-feature-downsampling-module-for","title":"A Robust Feature Downsampling Module for Remote Sensing Visual Tasks","date":"2023-06-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"autism-disease-detection-using-transfer","title":"Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks","date":"2023-06-01","arxiv_id":"2306.00283","n_code_links":0,"syntology":null},{"paper":"/paper/dilated-convolution-with-learnable-spacings-1","slug":"dilated-convolution-with-learnable-spacings-1","title":"Dilated Convolution with Learnable Spacings: beyond bilinear interpolation","date":"2023-06-01","arxiv_id":"2306.00817","n_code_links":1,"syntology":null},{"paper":null,"slug":"selfloc-selective-feature-fusion-for-large","title":"SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition","date":"2023-06-01","arxiv_id":"2306.01205","n_code_links":0,"syntology":null},{"paper":"/paper/spatio-angular-convolutions-for-super","slug":"spatio-angular-convolutions-for-super","title":"Spatio-Angular Convolutions for Super-resolution in Diffusion MRI","date":"2023-06-01","arxiv_id":"2306.00854","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":5,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["m-lyon/dmri-pcconv"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/stablerep-synthetic-images-from-text-to-image","slug":"stablerep-synthetic-images-from-text-to-image","title":"StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners","date":"2023-06-01","arxiv_id":"2306.00984","n_code_links":2,"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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["google-research/syn-rep-learn"],"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":"stylegan-knows-normal-depth-albedo-and-more","title":"StyleGAN knows Normal, Depth, Albedo, and More","date":"2023-06-01","arxiv_id":"2306.00987","n_code_links":0,"syntology":null},{"paper":null,"slug":"what-model-does-muzero-learn","title":"What model does MuZero learn?","date":"2023-06-01","arxiv_id":"2306.00840","n_code_links":0,"syntology":null},{"paper":"/paper/a-unified-framework-for-u-net-design-and-1","slug":"a-unified-framework-for-u-net-design-and-1","title":"A Unified Framework for U-Net Design and Analysis","date":"2023-05-31","arxiv_id":"2305.19638","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":6,"n_instrument":1,"unverified":1,"pointer_only":3,"phrase":"7 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["fabianfalck/unet-design"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"adaptive-ship-radiated-noise-recognition-with","title":"Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform","date":"2023-05-31","arxiv_id":"2306.01002","n_code_links":0,"syntology":null},{"paper":"/paper/augmentation-aware-self-supervised-learning","slug":"augmentation-aware-self-supervised-learning","title":"Augmentation-aware Self-supervised Learning with Conditioned Projector","date":"2023-05-31","arxiv_id":"2306.06082","n_code_links":1,"syntology":{"ran":4,"of":9,"n_ran_checked":0,"n_instrument":4,"unverified":5,"pointer_only":9,"phrase":"4 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; 4 where Syntology's instrument failed) · 5 unverified","official":{"repos":["gmum/cassle"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"balancing-reconstruction-and-editing-quality","title":"Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space","date":"2023-05-31","arxiv_id":"2306.00241","n_code_links":0,"syntology":null},{"paper":null,"slug":"fd-on-understanding-the-role-of-deep-feature","title":"F?D: On understanding the role of deep feature spaces on face generation evaluation","date":"2023-05-31","arxiv_id":"2305.20048","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-class-incremental-audio-1","slug":"few-shot-class-incremental-audio-1","title":"Few-shot Class-incremental Audio Classification Using Dynamically Expanded Classifier with Self-attention Modified Prototypes","date":"2023-05-31","arxiv_id":"2305.19539","n_code_links":1,"syntology":null},{"paper":null,"slug":"few-shot-speaker-identification-using-1","title":"Few-Shot Speaker Identification Using Lightweight Prototypical Network with Feature Grouping and Interaction","date":"2023-05-31","arxiv_id":"2305.19541","n_code_links":0,"syntology":null},{"paper":null,"slug":"morphological-classification-of-radio-1","title":"Morphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs","date":"2023-05-31","arxiv_id":"2306.00031","n_code_links":0,"syntology":null},{"paper":"/paper/spectral-heterogeneous-graph-convolutions-via","slug":"spectral-heterogeneous-graph-convolutions-via","title":"Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials","date":"2023-05-31","arxiv_id":"2305.19872","n_code_links":2,"syntology":null},{"paper":"/paper/the-canadian-cropland-dataset-a-new-land","slug":"the-canadian-cropland-dataset-a-new-land","title":"The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture","date":"2023-05-31","arxiv_id":"2306.00114","n_code_links":1,"syntology":null},{"paper":null,"slug":"an-evaluation-of-lightweight-deep-learning","title":"An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnostics","date":"2023-05-30","arxiv_id":"2305.19016","n_code_links":0,"syntology":null},{"paper":"/paper/are-large-kernels-better-teachers-than","slug":"are-large-kernels-better-teachers-than","title":"Are Large Kernels Better Teachers than Transformers for ConvNets?","date":"2023-05-30","arxiv_id":"2305.19412","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":["vita-group/slak"],"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/criteria-tell-you-more-than-ratings-criteria","slug":"criteria-tell-you-more-than-ratings-criteria","title":"Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation","date":"2023-05-30","arxiv_id":"2305.18885","n_code_links":1,"syntology":null},{"paper":"/paper/exploring-the-promise-and-limits-of-real-time","slug":"exploring-the-promise-and-limits-of-real-time","title":"Exploring the Promise and Limits of Real-Time Recurrent Learning","date":"2023-05-30","arxiv_id":"2305.19044","n_code_links":1,"syntology":null},{"paper":null,"slug":"few-shot-classification-with-shrinkage","title":"SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning","date":"2023-05-30","arxiv_id":"2305.18970","n_code_links":0,"syntology":null},{"paper":null,"slug":"hybrid-driven-learning-for-channel-estimation","title":"Hybrid Driven Learning for Channel Estimation in Intelligent Reflecting Surface Aided Millimeter Wave Communications","date":"2023-05-30","arxiv_id":"2305.19005","n_code_links":0,"syntology":null},{"paper":"/paper/ms-detr-natural-language-video-localization","slug":"ms-detr-natural-language-video-localization","title":"MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction","date":"2023-05-30","arxiv_id":"2305.18969","n_code_links":1,"syntology":null},{"paper":"/paper/reduced-precision-floating-point-optimization","slug":"reduced-precision-floating-point-optimization","title":"Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers","date":"2023-05-30","arxiv_id":"2305.19167","n_code_links":1,"syntology":null},{"paper":null,"slug":"scale-aware-super-resolution-network-with","title":"Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images","date":"2023-05-30","arxiv_id":"2305.19063","n_code_links":0,"syntology":null},{"paper":null,"slug":"stochastic-gradient-langevin-dynamics-based","title":"Stochastic Gradient Langevin Dynamics Based on Quantization with Increasing Resolution","date":"2023-05-30","arxiv_id":"2305.18864","n_code_links":0,"syntology":null},{"paper":"/paper/styleavatar3d-leveraging-image-text-diffusion","slug":"styleavatar3d-leveraging-image-text-diffusion","title":"StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation","date":"2023-05-30","arxiv_id":"2305.19012","n_code_links":2,"syntology":null},{"paper":null,"slug":"trustworthy-sensor-fusion-against-inaudible","title":"Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System","date":"2023-05-30","arxiv_id":"2306.05358","n_code_links":0,"syntology":null},{"paper":"/paper/a-hierarchical-context-aware-modeling","slug":"a-hierarchical-context-aware-modeling","title":"A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment","date":"2023-05-29","arxiv_id":"2305.18146","n_code_links":0,"syntology":null},{"paper":null,"slug":"action-valuation-of-on-and-off-ball-soccer","title":"Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning","date":"2023-05-29","arxiv_id":"2305.17886","n_code_links":0,"syntology":null},{"paper":null,"slug":"bright-bi-level-feature-representation-of","title":"BRICS: Bi-level feature Representation of Image CollectionS","date":"2023-05-29","arxiv_id":"2305.18601","n_code_links":0,"syntology":null},{"paper":null,"slug":"convolutional-neural-network-based-on-sparse","title":"Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution","date":"2023-05-29","arxiv_id":"2305.17898","n_code_links":0,"syntology":null},{"paper":null,"slug":"domo-ac-doubly-multi-step-off-policy-actor","title":"DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm","date":"2023-05-29","arxiv_id":"2305.18501","n_code_links":0,"syntology":null},{"paper":"/paper/mt-slvr-multi-task-self-supervised-learning","slug":"mt-slvr-multi-task-self-supervised-learning","title":"MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations","date":"2023-05-29","arxiv_id":"2305.17191","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-modal-face-stylization-with-a","title":"Multi-Modal Face Stylization with a Generative Prior","date":"2023-05-29","arxiv_id":"2305.18009","n_code_links":0,"syntology":null},{"paper":null,"slug":"rlad-reinforcement-learning-from-pixels-for","title":"RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments","date":"2023-05-29","arxiv_id":"2305.18510","n_code_links":0,"syntology":null},{"paper":null,"slug":"va-learning-as-a-more-efficient-alternative","title":"VA-learning as a more efficient alternative to Q-learning","date":"2023-05-29","arxiv_id":"2305.18161","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-machine-learning-approach-to-the-prediction","title":"A machine learning approach to the prediction of heat-transfer coefficients in micro-channels","date":"2023-05-28","arxiv_id":"2305.18406","n_code_links":0,"syntology":null},{"paper":"/paper/a-new-deep-learning-architecture","slug":"a-new-deep-learning-architecture","title":"A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting","date":"2023-05-28","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"jutepestdetect-an-intelligent-approach-for","title":"JutePestDetect: An Intelligent Approach for Jute Pest Identification Using Fine-Tuned Transfer Learning","date":"2023-05-28","arxiv_id":"2308.05179","n_code_links":0,"syntology":null},{"paper":"/paper/mixdehazenet-mix-structure-block-for-image","slug":"mixdehazenet-mix-structure-block-for-image","title":"MixDehazeNet : Mix Structure Block For Image Dehazing Network","date":"2023-05-28","arxiv_id":"2305.17654","n_code_links":1,"syntology":null},{"paper":"/paper/pure-spectral-graph-embeddings-reinterpreting","slug":"pure-spectral-graph-embeddings-reinterpreting","title":"Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation","date":"2023-05-28","arxiv_id":"2305.18374","n_code_links":1,"syntology":null},{"paper":null,"slug":"spot-keywords-from-very-noisy-and-mixed","title":"Spot keywords from very noisy and mixed speech","date":"2023-05-28","arxiv_id":"2305.17706","n_code_links":0,"syntology":null},{"paper":"/paper/using-caterpillar-to-nibble-small-scale","slug":"using-caterpillar-to-nibble-small-scale","title":"Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation","date":"2023-05-28","arxiv_id":"2305.17644","n_code_links":1,"syntology":null},{"paper":"/paper/a-hybrid-quantum-classical-approach-based-on","slug":"a-hybrid-quantum-classical-approach-based-on","title":"A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer","date":"2023-05-27","arxiv_id":"2305.17510","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["phy710/icml2023-ht"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/fopro-kd-fourier-prompted-effective-knowledge","slug":"fopro-kd-fourier-prompted-effective-knowledge","title":"FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition","date":"2023-05-27","arxiv_id":"2305.17421","n_code_links":1,"syntology":null},{"paper":null,"slug":"inter-subject-emotion-recognition-using","title":"Inter Subject Emotion Recognition Using Spatio-Temporal Features From EEG Signal","date":"2023-05-27","arxiv_id":"2305.19379","n_code_links":0,"syntology":null},{"paper":"/paper/is-centralized-training-with-decentralized","slug":"is-centralized-training-with-decentralized","title":"Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?","date":"2023-05-27","arxiv_id":"2305.17352","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":["zyh1999/cadp"],"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/kernel-ssl-kernel-kl-divergence-for-self","slug":"kernel-ssl-kernel-kl-divergence-for-self","title":"Matrix Information Theory for Self-Supervised Learning","date":"2023-05-27","arxiv_id":"2305.17326","n_code_links":3,"syntology":{"ran":5,"of":5,"n_ran_checked":1,"n_instrument":4,"unverified":0,"pointer_only":5,"phrase":"5 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; 4 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yifanzhang-pro/matrix-llm","yifanzhang-pro/matrix-ssl"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":null,"slug":"reinforcement-learning-with-reward-machines","title":"Reinforcement Learning With Reward Machines in Stochastic Games","date":"2023-05-27","arxiv_id":"2305.17372","n_code_links":0,"syntology":null},{"paper":"/paper/super-resolution-of-license-plate-images","slug":"super-resolution-of-license-plate-images","title":"Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers","date":"2023-05-27","arxiv_id":"2305.17313","n_code_links":2,"syntology":null},{"paper":"/paper/accelerating-diffusion-models-for-inverse","slug":"accelerating-diffusion-models-for-inverse","title":"Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling","date":"2023-05-26","arxiv_id":"2305.16965","n_code_links":1,"syntology":null},{"paper":null,"slug":"deepseanet-improving-underwater-object","title":"DeepSeaNet: Improving Underwater Object Detection using EfficientDet","date":"2023-05-26","arxiv_id":"2306.06075","n_code_links":0,"syntology":null},{"paper":"/paper/diffusionnag-task-guided-neural-architecture","slug":"diffusionnag-task-guided-neural-architecture","title":"DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models","date":"2023-05-26","arxiv_id":"2305.16943","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":3,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["cownowan/diffusionnag"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/dual-bayesian-resnet-a-deep-learning-approach-1","slug":"dual-bayesian-resnet-a-deep-learning-approach-1","title":"Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection","date":"2023-05-26","arxiv_id":"2305.16691","n_code_links":1,"syntology":null},{"paper":"/paper/gc-flow-a-graph-based-flow-network-for","slug":"gc-flow-a-graph-based-flow-network-for","title":"GC-Flow: A Graph-Based Flow Network for Effective Clustering","date":"2023-05-26","arxiv_id":"2305.17284","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":["xztcwang/gcflow"],"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/hierarchical-verbalizer-for-few-shot","slug":"hierarchical-verbalizer-for-few-shot","title":"Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification","date":"2023-05-26","arxiv_id":"2305.16885","n_code_links":1,"syntology":null},{"paper":"/paper/improving-position-encoding-of-transformers","slug":"improving-position-encoding-of-transformers","title":"Improving Position Encoding of Transformers for Multivariate Time Series Classification","date":"2023-05-26","arxiv_id":"2305.16642","n_code_links":1,"syntology":null},{"paper":null,"slug":"neural-modeling-of-magnetic-tape-recorders","title":"Neural modeling of magnetic tape recorders","date":"2023-05-26","arxiv_id":"2305.16862","n_code_links":0,"syntology":null},{"paper":"/paper/sssegmenation-an-open-source-supervised","slug":"sssegmenation-an-open-source-supervised","title":"SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch","date":"2023-05-26","arxiv_id":"2305.17091","n_code_links":1,"syntology":null},{"paper":null,"slug":"stylehumanclip-text-guided-garment","title":"StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human","date":"2023-05-26","arxiv_id":"2305.16759","n_code_links":0,"syntology":null},{"paper":"/paper/summarizing-stream-data-for-memory-restricted","slug":"summarizing-stream-data-for-memory-restricted","title":"Summarizing Stream Data for Memory-Constrained Online Continual Learning","date":"2023-05-26","arxiv_id":"2305.16645","n_code_links":2,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["vimar-gu/ssd"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"thailand-asset-value-estimation-using-aerial","title":"Thailand Asset Value Estimation Using Aerial or Satellite Imagery","date":"2023-05-26","arxiv_id":"2307.08650","n_code_links":0,"syntology":null},{"paper":null,"slug":"theoretical-and-practical-perspectives-on","title":"Theoretical and Practical Perspectives on what Influence Functions Do","date":"2023-05-26","arxiv_id":"2305.16971","n_code_links":0,"syntology":null},{"paper":"/paper/concept-centric-transformers-concept","slug":"concept-centric-transformers-concept","title":"Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace","date":"2023-05-25","arxiv_id":"2305.15775","n_code_links":2,"syntology":null},{"paper":null,"slug":"image-is-first-order-norm-linear","title":"Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance","date":"2023-05-25","arxiv_id":"2305.16319","n_code_links":0,"syntology":null},{"paper":null,"slug":"making-vision-transformers-truly-shift","title":"Making Vision Transformers Truly Shift-Equivariant","date":"2023-05-25","arxiv_id":"2305.16316","n_code_links":0,"syntology":null},{"paper":null,"slug":"mask-attack-detection-using-vascular-weighted","title":"Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals","date":"2023-05-25","arxiv_id":"2305.15940","n_code_links":0,"syntology":null},{"paper":"/paper/multilingual-text-to-speech-synthesis-for","slug":"multilingual-text-to-speech-synthesis-for","title":"Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration","date":"2023-05-25","arxiv_id":"2305.15749","n_code_links":1,"syntology":null},{"paper":null,"slug":"sliding-window-sum-algorithms-for-deep-neural","title":"Sliding Window Sum Algorithms for Deep Neural Networks","date":"2023-05-25","arxiv_id":"2305.16513","n_code_links":0,"syntology":null},{"paper":null,"slug":"umat-uncertainty-aware-single-image-high-1","title":"UMat: Uncertainty-Aware Single Image High Resolution Material Capture","date":"2023-05-25","arxiv_id":"2305.16312","n_code_links":0,"syntology":null},{"paper":"/paper/a-neural-space-time-representation-for-text","slug":"a-neural-space-time-representation-for-text","title":"A Neural Space-Time Representation for Text-to-Image Personalization","date":"2023-05-24","arxiv_id":"2305.15391","n_code_links":1,"syntology":null}],"record_sha256":"c2a38b1c7c3f18843f04e896c42e07c740dd6938fe109354b69aec0024ace7b7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}