{"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/127","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":127,"pages_in_order":196,"rows_per_page":100,"rows":[12601,12700],"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/126","next":"/method/convolution/papers/128","papers":[{"paper":"/paper/tinygan-distilling-biggan-for-conditional","slug":"tinygan-distilling-biggan-for-conditional","title":"TinyGAN: Distilling BigGAN for Conditional Image Generation","date":"2020-09-29","arxiv_id":"2009.13829","n_code_links":1,"syntology":null},{"paper":"/paper/adversarial-robustness-of-stabilized","slug":"adversarial-robustness-of-stabilized","title":"Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients","date":"2020-09-28","arxiv_id":"2009.13145","n_code_links":1,"syntology":null},{"paper":null,"slug":"arabic-handwritten-character-recognition","title":"Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine","date":"2020-09-28","arxiv_id":"2009.13450","n_code_links":0,"syntology":null},{"paper":"/paper/detecting-soccer-balls-with-reduced-neural","slug":"detecting-soccer-balls-with-reduced-neural","title":"Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios","date":"2020-09-28","arxiv_id":"2009.13684","n_code_links":1,"syntology":null},{"paper":null,"slug":"ecgdetect-detecting-ischemia-via-deep","title":"ECGDetect: Detecting Ischemia via Deep Learning","date":"2020-09-28","arxiv_id":"2009.13232","n_code_links":0,"syntology":null},{"paper":null,"slug":"eis-a-family-of-activation-functions","title":"EIS -- a family of activation functions combining Exponential, ISRU, and Softplus","date":"2020-09-28","arxiv_id":"2009.13501","n_code_links":0,"syntology":null},{"paper":null,"slug":"fully-automatic-intervertebral-disc","title":"Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net","date":"2020-09-28","arxiv_id":"2009.13583","n_code_links":0,"syntology":null},{"paper":"/paper/g-simclr-self-supervised-contrastive-learning","slug":"g-simclr-self-supervised-contrastive-learning","title":"G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling","date":"2020-09-28","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/group-whitening-balancing-learning-efficiency","slug":"group-whitening-balancing-learning-efficiency","title":"Group Whitening: Balancing Learning Efficiency and Representational Capacity","date":"2020-09-28","arxiv_id":"2009.13333","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":2,"n_instrument":3,"unverified":0,"pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"kernel-based-progressive-distillation-for","title":"Kernel Based Progressive Distillation for Adder Neural Networks","date":"2020-09-28","arxiv_id":"2009.13044","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-heterogeneous-multi-agent","title":"Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks","date":"2020-09-28","arxiv_id":"2009.13161","n_code_links":0,"syntology":null},{"paper":"/paper/adaptive-confidence-thresholding-for-semi","slug":"adaptive-confidence-thresholding-for-semi","title":"Adaptive confidence thresholding for monocular depth estimation","date":"2020-09-27","arxiv_id":"2009.12840","n_code_links":1,"syntology":null},{"paper":"/paper/classification-and-understanding-of-cloud","slug":"classification-and-understanding-of-cloud","title":"Classification and understanding of cloud structures via satellite images with EfficientUNet","date":"2020-09-27","arxiv_id":"2009.12931","n_code_links":1,"syntology":null},{"paper":null,"slug":"dt-net-a-novel-network-based-on-multi","title":"DT-Net: A novel network based on multi-directional integrated convolution and threshold convolution","date":"2020-09-26","arxiv_id":"2009.12569","n_code_links":0,"syntology":null},{"paper":null,"slug":"lineage-evolution-reinforcement-learning","title":"Lineage Evolution Reinforcement Learning","date":"2020-09-26","arxiv_id":"2010.14616","n_code_links":0,"syntology":null},{"paper":null,"slug":"blind-image-super-resolution-with-spatial","title":"Blind Image Super-Resolution with Spatial Context Hallucination","date":"2020-09-25","arxiv_id":"2009.12461","n_code_links":0,"syntology":null},{"paper":null,"slug":"deepcontrol-2d-rf-pulses-facilitating-b-1","title":"DeepControl: 2D RF pulses facilitating $B_1^+$ inhomogeneity and $B_0$ off-resonance compensation in vivo at 7T","date":"2020-09-25","arxiv_id":"2009.12408","n_code_links":0,"syntology":null},{"paper":"/paper/dpn-detail-preserving-network-with-high","slug":"dpn-detail-preserving-network-with-high","title":"DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels","date":"2020-09-25","arxiv_id":"2009.12053","n_code_links":2,"syntology":null},{"paper":null,"slug":"enhancing-mri-brain-tumor-segmentation-with","title":"Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network","date":"2020-09-25","arxiv_id":"2009.12111","n_code_links":0,"syntology":null},{"paper":"/paper/g-simclr-self-supervised-contrastive-learning-1","slug":"g-simclr-self-supervised-contrastive-learning-1","title":"G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling","date":"2020-09-25","arxiv_id":"2009.12007","n_code_links":1,"syntology":null},{"paper":null,"slug":"sequence-to-sequence-load-disaggregation","title":"Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network","date":"2020-09-25","arxiv_id":"2009.12355","n_code_links":0,"syntology":null},{"paper":null,"slug":"sia-gcn-a-spatial-information-aware-graph","title":"SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation","date":"2020-09-25","arxiv_id":"2009.12473","n_code_links":0,"syntology":null},{"paper":"/paper/tied-block-convolution-leaner-and-better-cnns","slug":"tied-block-convolution-leaner-and-better-cnns","title":"Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters","date":"2020-09-25","arxiv_id":"2009.12021","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-computer-vision-approach-to-combat-lyme","title":"A Computer Vision Approach to Combat Lyme Disease","date":"2020-09-24","arxiv_id":"2009.11931","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-new-approach-for-tactical-decision-making","title":"A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward","date":"2020-09-24","arxiv_id":"2009.11905","n_code_links":0,"syntology":null},{"paper":"/paper/adversarial-brain-multiplex-prediction-from-a","slug":"adversarial-brain-multiplex-prediction-from-a","title":"Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping","date":"2020-09-24","arxiv_id":"2009.11524","n_code_links":1,"syntology":null},{"paper":"/paper/automatic-identification-of-fossils-and","slug":"automatic-identification-of-fossils-and","title":"Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks","date":"2020-09-24","arxiv_id":"2009.11429","n_code_links":1,"syntology":null},{"paper":null,"slug":"cloud-cover-nowcasting-with-deep-learning","title":"Cloud Cover Nowcasting with Deep Learning","date":"2020-09-24","arxiv_id":"2009.11577","n_code_links":0,"syntology":null},{"paper":null,"slug":"ecovnet-an-ensemble-of-deep-convolutional","title":"ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays","date":"2020-09-24","arxiv_id":"2009.11850","n_code_links":0,"syntology":null},{"paper":"/paper/eegdenoisenet-a-benchmark-dataset-for-deep","slug":"eegdenoisenet-a-benchmark-dataset-for-deep","title":"EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising","date":"2020-09-24","arxiv_id":"2009.11662","n_code_links":2,"syntology":null},{"paper":null,"slug":"pk-gcn-prior-knowledge-assisted-image","title":"PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks","date":"2020-09-24","arxiv_id":"2009.11892","n_code_links":0,"syntology":null},{"paper":"/paper/residual-feature-distillation-network-for","slug":"residual-feature-distillation-network-for","title":"Residual Feature Distillation Network for Lightweight Image Super-Resolution","date":"2020-09-24","arxiv_id":"2009.11551","n_code_links":2,"syntology":{"ran":8,"of":9,"n_ran_checked":6,"n_instrument":2,"unverified":1,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["njulj/RFDN"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"style-invariant-cardiac-image-segmentation","title":"Style-invariant Cardiac Image Segmentation with Test-time Augmentation","date":"2020-09-24","arxiv_id":"2009.12193","n_code_links":0,"syntology":null},{"paper":null,"slug":"2d-3d-geometric-fusion-network-using-multi","title":"2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification","date":"2020-09-23","arxiv_id":"2009.11154","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-breast-lesion-classification-by","title":"Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound","date":"2020-09-23","arxiv_id":"2009.11009","n_code_links":0,"syntology":null},{"paper":"/paper/deep-multi-stations-weather-forecasting","slug":"deep-multi-stations-weather-forecasting","title":"Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks","date":"2020-09-23","arxiv_id":"2009.11239","n_code_links":2,"syntology":null},{"paper":"/paper/end-to-end-prediction-of-parcel-delivery-time","slug":"end-to-end-prediction-of-parcel-delivery-time","title":"End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications","date":"2020-09-23","arxiv_id":"2009.12197","n_code_links":1,"syntology":null},{"paper":"/paper/gsr-net-graph-super-resolution-network-for","slug":"gsr-net-graph-super-resolution-network-for","title":"GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes","date":"2020-09-23","arxiv_id":"2009.11080","n_code_links":1,"syntology":null},{"paper":null,"slug":"lorral-facial-action-unit-detection-based-on","title":"HiCOMEX: Facial Action Unit Recognition Based on Hierarchy Intensity Distribution and COMEX Relation Learning","date":"2020-09-23","arxiv_id":"2009.10892","n_code_links":0,"syntology":null},{"paper":null,"slug":"pruning-convolutional-filters-using-batch","title":"Pruning Convolutional Filters using Batch Bridgeout","date":"2020-09-23","arxiv_id":"2009.10893","n_code_links":0,"syntology":null},{"paper":null,"slug":"robustification-of-segmentation-models","title":"Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging","date":"2020-09-23","arxiv_id":"2009.11090","n_code_links":0,"syntology":null},{"paper":"/paper/schizophrenia-mimicking-layers-outperform","slug":"schizophrenia-mimicking-layers-outperform","title":"Schizophrenia-mimicking layers outperform conventional neural network layers","date":"2020-09-23","arxiv_id":"2009.10887","n_code_links":1,"syntology":null},{"paper":"/paper/a-crowdsourced-open-source-kazakh-speech","slug":"a-crowdsourced-open-source-kazakh-speech","title":"A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline","date":"2020-09-22","arxiv_id":"2009.10334","n_code_links":1,"syntology":null},{"paper":"/paper/anomalous-diffusion-dynamics-of-learning-in","slug":"anomalous-diffusion-dynamics-of-learning-in","title":"Anomalous diffusion dynamics of learning in deep neural networks","date":"2020-09-22","arxiv_id":"2009.10588","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":4,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ifgovh/Anomalous-diffusion-dynamics-of-SGD"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/ca-net-comprehensive-attention-convolutional","slug":"ca-net-comprehensive-attention-convolutional","title":"CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation","date":"2020-09-22","arxiv_id":"2009.10549","n_code_links":3,"syntology":null},{"paper":"/paper/design-of-efficient-deep-learning-models-for","slug":"design-of-efficient-deep-learning-models-for","title":"Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data","date":"2020-09-22","arxiv_id":"2009.10282","n_code_links":1,"syntology":null},{"paper":null,"slug":"kernelized-dense-layers-for-facial-expression","title":"Kernelized dense layers for facial expression recognition","date":"2020-09-22","arxiv_id":"2009.10814","n_code_links":0,"syntology":null},{"paper":"/paper/local-global-fusion-network-for-video-super","slug":"local-global-fusion-network-for-video-super","title":"Local-Global Fusion Network for Video Super-Resolution","date":"2020-09-22","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"ccblock-an-effective-use-of-deep-learning-for","title":"CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images","date":"2020-09-21","arxiv_id":"2009.10141","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-clustering","slug":"contrastive-clustering","title":"Contrastive Clustering","date":"2020-09-21","arxiv_id":"2009.09687","n_code_links":2,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"7 ran (of which 2 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["Yunfan-Li/Contrastive-Clustering"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["found_in_text","listed","official"]}}},{"paper":null,"slug":"deep-learning-achieves-radiologist-level","title":"Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans","date":"2020-09-21","arxiv_id":"2009.09827","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-monocular-visual-odometry-for-ground","title":"Deep Monocular Visual Odometry for Ground Vehicle","date":"2020-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/impact-of-lung-segmentation-on-the-diagnosis","slug":"impact-of-lung-segmentation-on-the-diagnosis","title":"Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images","date":"2020-09-21","arxiv_id":"2009.09780","n_code_links":1,"syntology":null},{"paper":"/paper/kernel-based-smoothness-analysis-of-residual","slug":"kernel-based-smoothness-analysis-of-residual","title":"Kernel-Based Smoothness Analysis of Residual Networks","date":"2020-09-21","arxiv_id":"2009.10008","n_code_links":1,"syntology":null},{"paper":null,"slug":"semi-supervised-semantic-segmentation-of","title":"Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images","date":"2020-09-21","arxiv_id":"2009.09571","n_code_links":0,"syntology":null},{"paper":null,"slug":"sesv-accurate-medical-image-segmentation","title":"SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors","date":"2020-09-21","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/the-dongniao-international-birds-10000","slug":"the-dongniao-international-birds-10000","title":"The DongNiao International Birds 10000 Dataset","date":"2020-09-21","arxiv_id":"2010.06454","n_code_links":0,"syntology":null},{"paper":"/paper/towards-fast-accurate-and-stable-3d-dense-1","slug":"towards-fast-accurate-and-stable-3d-dense-1","title":"Towards Fast, Accurate and Stable 3D Dense Face Alignment","date":"2020-09-21","arxiv_id":"2009.09960","n_code_links":3,"syntology":{"ran":9,"of":10,"n_ran_checked":5,"n_instrument":4,"unverified":1,"pointer_only":7,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["cleardusk/3DDFA_V2"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["named_in_paper","official"]}}},{"paper":null,"slug":"contourcnn-convolutional-neural-network-for","title":"ContourCNN: convolutional neural network for contour data classification","date":"2020-09-20","arxiv_id":"2009.09412","n_code_links":0,"syntology":null},{"paper":null,"slug":"pie-portrait-image-embedding-for-semantic","title":"PIE: Portrait Image Embedding for Semantic Control","date":"2020-09-20","arxiv_id":"2009.09485","n_code_links":0,"syntology":null},{"paper":"/paper/transform-domain-pyramidal-dilated","slug":"transform-domain-pyramidal-dilated","title":"Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images","date":"2020-09-20","arxiv_id":"2009.09393","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-deep-learning-based-approach-for-the","title":"A deep learning-based approach for the automated surface inspection of copper clad laminate images","date":"2020-09-19","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/a-hybrid-classification-approach-using-topic","slug":"a-hybrid-classification-approach-using-topic","title":"A Hybrid Classification Approach using Topic Modeling and Graph Convolution Networks","date":"2020-09-19","arxiv_id":null,"n_code_links":3,"syntology":null},{"paper":null,"slug":"adversarial-exposure-attack-on-diabetic","title":"Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading","date":"2020-09-19","arxiv_id":"2009.09231","n_code_links":0,"syntology":null},{"paper":"/paper/gated-res2net-for-multivariate-time-series","slug":"gated-res2net-for-multivariate-time-series","title":"Gated Res2Net for Multivariate Time Series Analysis","date":"2020-09-19","arxiv_id":"2009.11705","n_code_links":1,"syntology":null},{"paper":null,"slug":"inferring-predicting-and-denoising-causal","title":"Inferring, Predicting, and Denoising Causal Wave Dynamics","date":"2020-09-19","arxiv_id":"2009.09187","n_code_links":0,"syntology":null},{"paper":"/paper/neural-architecture-search-using-stable-rank","slug":"neural-architecture-search-using-stable-rank","title":"MSR-DARTS: Minimum Stable Rank of Differentiable Architecture Search","date":"2020-09-19","arxiv_id":"2009.09209","n_code_links":0,"syntology":null},{"paper":"/paper/densely-guided-knowledge-distillation-using","slug":"densely-guided-knowledge-distillation-using","title":"Densely Guided Knowledge Distillation using Multiple Teacher Assistants","date":"2020-09-18","arxiv_id":"2009.08825","n_code_links":1,"syntology":null},{"paper":"/paper/residual-spatial-attention-network-for","slug":"residual-spatial-attention-network-for","title":"Residual Spatial Attention Network for Retinal Vessel Segmentation","date":"2020-09-18","arxiv_id":"2009.08829","n_code_links":1,"syntology":null},{"paper":"/paper/aag-self-supervised-representation-learning","slug":"aag-self-supervised-representation-learning","title":"AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss","date":"2020-09-17","arxiv_id":"2009.07994","n_code_links":3,"syntology":null},{"paper":"/paper/distributional-generalization-a-new-kind-of","slug":"distributional-generalization-a-new-kind-of","title":"Distributional Generalization: A New Kind of Generalization","date":"2020-09-17","arxiv_id":"2009.08092","n_code_links":1,"syntology":null},{"paper":null,"slug":"knowledge-assisted-deep-reinforcement","title":"Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation","date":"2020-09-17","arxiv_id":"2009.08346","n_code_links":0,"syntology":null},{"paper":null,"slug":"label-smoothing-and-adversarial-robustness","title":"Label Smoothing and Adversarial Robustness","date":"2020-09-17","arxiv_id":"2009.08233","n_code_links":0,"syntology":null},{"paper":null,"slug":"urban-traffic-flow-forecast-based-on","title":"Urban Traffic Flow Forecast Based on FastGCRNN","date":"2020-09-17","arxiv_id":"2009.08087","n_code_links":0,"syntology":null},{"paper":"/paper/a-convolutional-lstm-based-residual-network","slug":"a-convolutional-lstm-based-residual-network","title":"A Convolutional LSTM based Residual Network for Deepfake Video Detection","date":"2020-09-16","arxiv_id":"2009.07480","n_code_links":1,"syntology":null},{"paper":"/paper/activation-functions-do-they-represent-a","slug":"activation-functions-do-they-represent-a","title":"Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance","date":"2020-09-16","arxiv_id":"2009.07793","n_code_links":1,"syntology":null},{"paper":null,"slug":"brain-tumour-segmentation-using-cascaded-3d","title":"Brain tumour segmentation using cascaded 3D densely-connected U-net","date":"2020-09-16","arxiv_id":"2009.07563","n_code_links":0,"syntology":null},{"paper":"/paper/efficientnet-elite-extremely-lightweight-and","slug":"efficientnet-elite-extremely-lightweight-and","title":"EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search","date":"2020-09-16","arxiv_id":"2009.07409","n_code_links":3,"syntology":null},{"paper":"/paper/malicious-network-traffic-detection-via-deep","slug":"malicious-network-traffic-detection-via-deep","title":"Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View","date":"2020-09-16","arxiv_id":"2009.07753","n_code_links":1,"syntology":null},{"paper":null,"slug":"pooling-methods-in-deep-neural-networks-a","title":"Pooling Methods in Deep Neural Networks, a Review","date":"2020-09-16","arxiv_id":"2009.07485","n_code_links":0,"syntology":null},{"paper":"/paper/rcnn-for-region-of-interest-detection-in","slug":"rcnn-for-region-of-interest-detection-in","title":"RCNN for Region of Interest Detection in Whole Slide Images","date":"2020-09-16","arxiv_id":"2009.07532","n_code_links":1,"syntology":null},{"paper":null,"slug":"u-net-with-graph-based-smoothing-regularizer","title":"U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image","date":"2020-09-16","arxiv_id":"2009.07567","n_code_links":0,"syntology":null},{"paper":"/paper/a-mobile-app-for-wound-localization-using","slug":"a-mobile-app-for-wound-localization-using","title":"A Mobile App for Wound Localization using Deep Learning","date":"2020-09-15","arxiv_id":"2009.07133","n_code_links":1,"syntology":null},{"paper":null,"slug":"f3rnet-full-resolution-residual-registration","title":"F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration","date":"2020-09-15","arxiv_id":"2009.07151","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-convolution-networks-using-message","title":"Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association","date":"2020-09-15","arxiv_id":"2009.07173","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-functors-using-gradient-descent","title":"Learning Functors using Gradient Descent","date":"2020-09-15","arxiv_id":"2009.06837","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-scale-attention-u-net-msaunet-a","title":"Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation","date":"2020-09-15","arxiv_id":"2009.06911","n_code_links":0,"syntology":null},{"paper":"/paper/resnet-like-architecture-with-low-hardware","slug":"resnet-like-architecture-with-low-hardware","title":"ResNet-like Architecture with Low Hardware Requirements","date":"2020-09-15","arxiv_id":"2009.07190","n_code_links":1,"syntology":null},{"paper":null,"slug":"understanding-deformable-alignment-in-video","title":"Understanding Deformable Alignment in Video Super-Resolution","date":"2020-09-15","arxiv_id":"2009.07265","n_code_links":0,"syntology":null},{"paper":"/paper/adaptive-convolution-kernel-for-artificial","slug":"adaptive-convolution-kernel-for-artificial","title":"Adaptive Convolution Kernel for Artificial Neural Networks","date":"2020-09-14","arxiv_id":"2009.06385","n_code_links":1,"syntology":null},{"paper":null,"slug":"automl-for-multilayer-perceptron-and-fpga-co","title":"AutoML for Multilayer Perceptron and FPGA Co-design","date":"2020-09-14","arxiv_id":"2009.06156","n_code_links":0,"syntology":null},{"paper":null,"slug":"controllable-neural-text-to-speech-synthesis","title":"Controllable neural text-to-speech synthesis using intuitive prosodic features","date":"2020-09-14","arxiv_id":"2009.06775","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-augmentation-and-clustering-for-vehicle","title":"Data Augmentation and Clustering for Vehicle Make/Model Classification","date":"2020-09-14","arxiv_id":"2009.06679","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-transformers-a-survey","title":"Efficient Transformers: A Survey","date":"2020-09-14","arxiv_id":"2009.06732","n_code_links":0,"syntology":null},{"paper":"/paper/efficientseg-an-efficient-semantic","slug":"efficientseg-an-efficient-semantic","title":"EfficientSeg: An Efficient Semantic Segmentation Network","date":"2020-09-14","arxiv_id":"2009.06469","n_code_links":1,"syntology":null},{"paper":null,"slug":"gia-net-global-information-aware-network-for","title":"GIA-Net: Global Information Aware Network for Low-light Imaging","date":"2020-09-14","arxiv_id":"2009.06604","n_code_links":0,"syntology":null},{"paper":"/paper/ginet-graph-interaction-network-for-scene-1","slug":"ginet-graph-interaction-network-for-scene-1","title":"GINet: Graph Interaction Network for Scene Parsing","date":"2020-09-14","arxiv_id":"2009.06160","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-hidden-patterns-from-patient","title":"Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction","date":"2020-09-14","arxiv_id":"2009.06783","n_code_links":0,"syntology":null},{"paper":"/paper/old-photo-restoration-via-deep-latent-space","slug":"old-photo-restoration-via-deep-latent-space","title":"Old Photo Restoration via Deep Latent Space Translation","date":"2020-09-14","arxiv_id":"2009.07047","n_code_links":8,"syntology":null},{"paper":null,"slug":"prior-knowledge-about-attributes-learning-a","title":"Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition","date":"2020-09-14","arxiv_id":"2009.06226","n_code_links":0,"syntology":null}],"record_sha256":"9986e9a4dee9714f765b5b68bc01d59b9927aac0dde25fb12420d97a462c9d0a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}