{"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":"/task/data-augmentation/papers/50","list_of":"/task/data-augmentation","task":"Data Augmentation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":50,"pages_in_order":84,"rows_per_page":100,"rows":[4901,5000],"of":8378,"counts":{"archive_papers_tagged":8378,"with_a_code_link":3225,"where_syntology_ran_a_sample":692,"not_listed_spam_title":0,"listed":8378,"listed_where_code_ran":692,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":567,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":567,"listed_every_run_a_failure_of_syntologys_instrument":125,"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":"/task/data-augmentation","prev":"/task/data-augmentation/papers/49","next":"/task/data-augmentation/papers/51","papers":[{"url":null,"slug":"no-data-augmentation-alternative","title":"No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets","date":"2023-09-04","arxiv_id":"2309.01694","repositories_listed":0,"syntology":null},{"url":null,"slug":"msm-vc-high-fidelity-source-style-transfer","title":"MSM-VC: High-fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-scale Style Modeling","date":"2023-09-03","arxiv_id":"2309.01142","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-lung-cancer-classification-using","title":"User lung cancer classification using efficientnet from ct scan images","date":"2023-09-03","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bengali-document-layout-analysis-a-yolov8","title":"Bengali Document Layout Analysis -- A YOLOV8 Based Ensembling Approach","date":"2023-09-02","arxiv_id":"2309.00848","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-generalization-via-balancing-training","title":"Domain Generalization via Balancing Training Difficulty and Model Capability","date":"2023-09-02","arxiv_id":"2309.00844","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-robustness-of-human-parsers","title":"Exploring the Robustness of Human Parsers Towards Common Corruptions","date":"2023-09-02","arxiv_id":"2309.00938","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-semi-supervised-graph-learning-for","title":"Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection","date":"2023-09-02","arxiv_id":"2309.00824","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-motion-blur-for-robust-3d-baseball","title":"Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis","date":"2023-09-02","arxiv_id":"2309.01010","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-model-with-clustering-based","title":"Diffusion Model with Clustering-based Conditioning for Food Image Generation","date":"2023-09-01","arxiv_id":"2309.00199","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-fruitshell-french-synthesis-system-at-the","title":"The FruitShell French synthesis system at the Blizzard 2023 Challenge","date":"2023-09-01","arxiv_id":"2309.00223","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-plm-performance-on-labour-market","title":"Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules","date":"2023-08-31","arxiv_id":"2308.16770","repositories_listed":0,"syntology":null},{"url":null,"slug":"prediction-of-diblock-copolymer-morphology","title":"Prediction of Diblock Copolymer Morphology via Machine Learning","date":"2023-08-31","arxiv_id":"2308.16886","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-augmentation-framework-for","title":"A Comprehensive Augmentation Framework for Anomaly Detection","date":"2023-08-29","arxiv_id":"2308.15068","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-text-based-dialogue-state-tracker","title":"Adapting Text-based Dialogue State Tracker for Spoken Dialogues","date":"2023-08-29","arxiv_id":"2308.15053","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-style-transfer-for-robust-policy-1","title":"Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning","date":"2023-08-29","arxiv_id":"2308.15550","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-sequential-information-in-task-based","title":"Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation","date":"2023-08-29","arxiv_id":"2308.15564","repositories_listed":0,"syntology":null},{"url":null,"slug":"deephealthnet-adolescent-obesity-prediction","title":"DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework","date":"2023-08-28","arxiv_id":"2308.14657","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervision-for-tackling-unsupervised","title":"Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities","date":"2023-08-28","arxiv_id":"2308.14380","repositories_listed":0,"syntology":null},{"url":null,"slug":"tackling-diverse-minorities-in-imbalanced","title":"Tackling Diverse Minorities in Imbalanced Classification","date":"2023-08-28","arxiv_id":"2308.14838","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-non-parametric-approach-to","title":"A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy","date":"2023-08-27","arxiv_id":"2308.14048","repositories_listed":0,"syntology":null},{"url":null,"slug":"bengali-document-layout-analysis-with","title":"Bengali Document Layout Analysis with Detectron2","date":"2023-08-26","arxiv_id":"2308.13769","repositories_listed":0,"syntology":null},{"url":"/paper/handwritten-image-augmentation","slug":"handwritten-image-augmentation","title":"Handwritten image augmentation","date":"2023-08-26","arxiv_id":"2308.13791","repositories_listed":0,"syntology":null},{"url":null,"slug":"ultrafast-and-ultralight-convnet-based","title":"Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere","date":"2023-08-25","arxiv_id":"2308.13492","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-systematic-study-on-quantifying-bias-in-gan","title":"A Systematic Study on Quantifying Bias in GAN-Augmented Data","date":"2023-08-23","arxiv_id":"2308.13554","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancements-in-point-cloud-data-augmentation","title":"Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey","date":"2023-08-23","arxiv_id":"2308.12113","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-proposal-guided-feature-mining","title":"Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection","date":"2023-08-23","arxiv_id":"2308.12111","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-word-data-augmentation-with-clip-for","title":"Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection","date":"2023-08-22","arxiv_id":"2308.11119","repositories_listed":0,"syntology":null},{"url":null,"slug":"targeted-data-augmentation-for-bias","title":"Targeted Data Augmentation for bias mitigation","date":"2023-08-22","arxiv_id":"2308.11386","repositories_listed":0,"syntology":null},{"url":null,"slug":"unilaterally-aggregated-contrastive-learning","title":"Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection","date":"2023-08-20","arxiv_id":"2308.10155","repositories_listed":0,"syntology":null},{"url":null,"slug":"anomaly-aware-semantic-segmentation-via-style","title":"Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation","date":"2023-08-19","arxiv_id":"2308.09965","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-generative-modeling-based-data","title":"Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets","date":"2023-08-19","arxiv_id":"2308.10120","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributionally-robust-cross-subject-eeg","title":"Distributionally Robust Cross Subject EEG Decoding","date":"2023-08-19","arxiv_id":"2308.11651","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-fraud-detection-via-supervised","title":"Robust Fraud Detection via Supervised Contrastive Learning","date":"2023-08-19","arxiv_id":"2308.10055","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tailored-handwritten-text-recognition","title":"A tailored Handwritten-Text-Recognition System for Medieval Latin","date":"2023-08-18","arxiv_id":"2308.09368","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccface-classification-consistency-for-low","title":"CCFace: Classification Consistency for Low-Resolution Face Recognition","date":"2023-08-18","arxiv_id":"2308.09230","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-and-explainability-for-bias","title":"Data augmentation and explainability for bias discovery and mitigation in deep learning","date":"2023-08-18","arxiv_id":"2308.09464","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-machine-listener","title":"Generative Machine Listener","date":"2023-08-18","arxiv_id":"2308.09493","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-causalities-in-sar-atr-a-causal","title":"Unveiling Causalities in SAR ATR: A Causal Interventional Approach for Limited Data","date":"2023-08-18","arxiv_id":"2308.09396","repositories_listed":0,"syntology":null},{"url":null,"slug":"bag-of-tricks-for-long-tailed-multi-label","title":"Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays","date":"2023-08-17","arxiv_id":"2308.08853","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixbag-bag-level-data-augmentation-for","title":"MixBag: Bag-Level Data Augmentation for Learning from Label Proportions","date":"2023-08-17","arxiv_id":"2308.08822","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-synthesis-of-dysarthric-speech-for","title":"Accurate synthesis of Dysarthric Speech for ASR data augmentation","date":"2023-08-16","arxiv_id":"2308.08438","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-tomato-disease-detection","title":"Deep Learning based Tomato Disease Detection and Remedy Suggestions using Mobile Application","date":"2023-08-16","arxiv_id":"2310.05929","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-out-of-distribution-generalization-with","title":"Graph Out-of-Distribution Generalization with Controllable Data Augmentation","date":"2023-08-16","arxiv_id":"2308.08344","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-overfitting-introducing-the","title":"Quantifying Overfitting: Introducing the Overfitting Index","date":"2023-08-16","arxiv_id":"2308.08682","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-autonomous-vehicle-pursuit-without","title":"Robust Autonomous Vehicle Pursuit without Expert Steering Labels","date":"2023-08-16","arxiv_id":"2308.08380","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-ensemble-based-segmentation-of-1","title":"Automated ensemble method for pediatric brain tumor segmentation","date":"2023-08-14","arxiv_id":"2308.07212","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-equivariant-mixup","title":"Semantic Equivariant Mixup","date":"2023-08-12","arxiv_id":"2308.06451","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-on-classification-of-white-blood","title":"Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review","date":"2023-08-11","arxiv_id":"2308.06296","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-building-roof-instance","title":"Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone","date":"2023-08-10","arxiv_id":"2308.05358","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-matching-data-synthesis-for-non-iid","title":"Feature Matching Data Synthesis for Non-IID Federated Learning","date":"2023-08-09","arxiv_id":"2308.04761","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-based-unsupervised-domain","title":"Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging","date":"2023-08-08","arxiv_id":"2308.04395","repositories_listed":0,"syntology":null},{"url":null,"slug":"i-was-a-data-augmentation-method-with-gpt-2","title":"I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection","date":"2023-08-08","arxiv_id":"2308.04109","repositories_listed":0,"syntology":null},{"url":null,"slug":"key-gene-mining-in-transcriptional-regulation","title":"Key Gene Mining in Transcriptional Regulation for Specific Biological Processes with Small Sample Sizes Using Multi-network pipeline Transformer","date":"2023-08-07","arxiv_id":"2308.03278","repositories_listed":0,"syntology":null},{"url":null,"slug":"pmu-measurements-based-short-term-voltage","title":"PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning","date":"2023-08-07","arxiv_id":"2308.03953","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-group-choices-from-group-profiles","title":"Predicting Group Choices from Group Profiles","date":"2023-08-06","arxiv_id":"2308.03083","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-oversampling-for-learning-from","title":"Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory","date":"2023-08-05","arxiv_id":"2308.02966","repositories_listed":0,"syntology":null},{"url":null,"slug":"miamix-enhancing-image-classification-through","title":"MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method","date":"2023-08-05","arxiv_id":"2308.02804","repositories_listed":0,"syntology":null},{"url":null,"slug":"weldmon-a-cost-effective-ultrasonic-welding","title":"WeldMon: A Cost-effective Ultrasonic Welding Machine Condition Monitoring System","date":"2023-08-05","arxiv_id":"2308.05756","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-fake-to-hyperpartisan-news-detection","title":"From Fake to Hyperpartisan News Detection Using Domain Adaptation","date":"2023-08-04","arxiv_id":"2308.02185","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-maxout-network-based-feature-fusion-and","title":"Deep Maxout Network-based Feature Fusion and Political Tangent Search Optimizer enabled Transfer Learning for Thalassemia Detection","date":"2023-08-03","arxiv_id":"2308.02029","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-specificity-and-data-efficiency-in","title":"Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces","date":"2023-08-03","arxiv_id":"2308.01976","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-few-shot-data-augmentation-and","title":"Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation","date":"2023-08-02","arxiv_id":"2308.01080","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-of-unsupervised-evaluation-metrics","title":"A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation","date":"2023-08-01","arxiv_id":"2308.00287","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-sports-yoga-and-dance-postures","title":"Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis","date":"2023-08-01","arxiv_id":"2308.00323","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-contrastive-learning-with-generative","title":"Graph Contrastive Learning with Generative Adversarial Network","date":"2023-08-01","arxiv_id":"2308.00535","repositories_listed":0,"syntology":null},{"url":null,"slug":"metrics-to-quantify-global-consistency-in","title":"Metrics to Quantify Global Consistency in Synthetic Medical Images","date":"2023-08-01","arxiv_id":"2308.00402","repositories_listed":0,"syntology":null},{"url":null,"slug":"pressuretransfernet-human-attribute-guided","title":"PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps","date":"2023-08-01","arxiv_id":"2308.00538","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-pre-trained-data-deduplication-model-based","title":"A Pre-trained Data Deduplication Model based on Active Learning","date":"2023-07-31","arxiv_id":"2308.00721","repositories_listed":0,"syntology":null},{"url":null,"slug":"esp-exploiting-symmetry-prior-for-multi-agent","title":"ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning","date":"2023-07-30","arxiv_id":"2307.16186","repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-guided-data-augmentation-for","title":"Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma","date":"2023-07-30","arxiv_id":"2307.16314","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-training-end-to-end-asr-models-with","title":"Pre-training End-to-end ASR Models with Augmented Speech Samples Queried by Text","date":"2023-07-30","arxiv_id":"2307.16332","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectory-aware-principal-manifold-framework","title":"Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation","date":"2023-07-30","arxiv_id":"2310.07801","repositories_listed":0,"syntology":null},{"url":null,"slug":"covid-19-detection-leveraging-vision","title":"CoVid-19 Detection leveraging Vision Transformers and Explainable AI","date":"2023-07-29","arxiv_id":"2307.16033","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaitasms-gait-recognition-by-adaptive","title":"GaitASMS: Gait Recognition by Adaptive Structured Spatial Representation and Multi-Scale Temporal Aggregation","date":"2023-07-29","arxiv_id":"2307.15981","repositories_listed":0,"syntology":null},{"url":null,"slug":"fs-depth-focal-and-scale-depth-estimation","title":"FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene","date":"2023-07-27","arxiv_id":"2307.14624","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaitmorph-transforming-gait-by-optimally","title":"GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes","date":"2023-07-27","arxiv_id":"2307.14713","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitating-complex-trajectories-bridging-low","title":"Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior","date":"2023-07-27","arxiv_id":"2307.14619","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-detection-assocation-and-localization","title":"Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations","date":"2023-07-27","arxiv_id":"2307.14571","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-for-neural-machine","title":"Data Augmentation for Neural Machine Translation using Generative Language Model","date":"2023-07-26","arxiv_id":"2307.16833","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-disentanglement-with-interpolative","title":"Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation","date":"2023-07-26","arxiv_id":"2307.13910","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularizing-neural-networks-with-meta","title":"Regularizing Neural Networks with Meta-Learning Generative Models","date":"2023-07-26","arxiv_id":"2307.13899","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-transferable-object-centric","title":"Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation","date":"2023-07-25","arxiv_id":"2307.13645","repositories_listed":0,"syntology":null},{"url":null,"slug":"normaug-normalization-guided-augmentation-for","title":"NormAUG: Normalization-guided Augmentation for Domain Generalization","date":"2023-07-25","arxiv_id":"2307.13492","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-approaches-for-data","title":"Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review","date":"2023-07-24","arxiv_id":"2307.13125","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-annotation-strategies-for-segmentation","title":"Sparse annotation strategies for segmentation of short axis cardiac MRI","date":"2023-07-24","arxiv_id":"2307.12619","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-intra-class-diversity-and-quality","title":"Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting","date":"2023-07-23","arxiv_id":"2308.02505","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-out-of-distribution-robustness-of-1","title":"Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation","date":"2023-07-23","arxiv_id":"2307.12219","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-identification-of-garbage-dumps-in-the","title":"The identification of garbage dumps in the rural areas of Cyprus through the application of deep learning to satellite imagery","date":"2023-07-23","arxiv_id":"2308.02502","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-human-translator-style-into","title":"Incorporating Human Translator Style into English-Turkish Literary Machine Translation","date":"2023-07-21","arxiv_id":"2307.11457","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-deceptive-reviews-using-text","title":"Unmasking Falsehoods in Reviews: An Exploration of NLP Techniques","date":"2023-07-20","arxiv_id":"2307.10617","repositories_listed":0,"syntology":null},{"url":null,"slug":"identical-and-fraternal-twins-fine-grained","title":"Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations","date":"2023-07-20","arxiv_id":"2307.10932","repositories_listed":0,"syntology":null},{"url":null,"slug":"dropmix-reducing-class-dependency-in-mixed","title":"The Effects of Mixed Sample Data Augmentation are Class Dependent","date":"2023-07-18","arxiv_id":"2307.09136","repositories_listed":0,"syntology":null},{"url":null,"slug":"mlf-det-multi-level-fusion-for-cross-modal-3d","title":"MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection","date":"2023-07-18","arxiv_id":"2307.09155","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-gender-bias-in-terms-of-profession","title":"Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications","date":"2023-07-18","arxiv_id":"2307.09162","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepmem-ml-models-as-storage-channels-and","title":"Co(ve)rtex: ML Models as storage channels and their (mis-)applications","date":"2023-07-17","arxiv_id":"2307.08811","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-kernel-convolution-network-with-scene","title":"Dynamic Kernel Convolution Network with Scene-dedicate Training for Sound Event Localization and Detection","date":"2023-07-17","arxiv_id":"2307.08239","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-for-counterfactual-fairness-from","title":"Learning for Counterfactual Fairness from Observational Data","date":"2023-07-17","arxiv_id":"2307.08232","repositories_listed":0,"syntology":null},{"url":null,"slug":"gait-data-augmentation-using-physics-based","title":"Gait Data Augmentation using Physics-Based Biomechanical Simulation","date":"2023-07-16","arxiv_id":"2307.08092","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-mechanical-properties-of-carbon","title":"Predicting mechanical properties of Carbon Nanotube (CNT) images Using Multi-Layer Synthetic Finite Element Model Simulations","date":"2023-07-16","arxiv_id":"2307.07912","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-adversarial-networks-for-data-3","title":"Generative adversarial networks for data-scarce spectral applications","date":"2023-07-14","arxiv_id":"2307.07454","repositories_listed":0,"syntology":null}],"record_sha256":"c75fdc68e46e949a821486dcfd136cf749143dd26183822dea6c2c73ffaf579b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}