{"total":35,"rows":[{"id":"2106.07499","title":"An Empirical Survey of Data Augmentation for Limited Data Learning in NLP","created":"2021-06-14","cited_by_count":101,"area":null},{"id":"2210.06441","title":"How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization","created":"2022-10-12","cited_by_count":40,"area":null},{"id":"2101.09585","title":"BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction","created":"2021-01-23","cited_by_count":15,"area":null},{"id":"2112.08782","title":"Improved YOLOv5 network for real-time multi-scale traffic sign detection","created":"2021-12-16","cited_by_count":11,"area":null},{"id":"2205.00177","title":"Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers","created":"2022-04-30","cited_by_count":9,"area":null},{"id":"2102.03539","title":"Sill-Net: Feature Augmentation with Separated Illumination Representation","created":"2021-02-06","cited_by_count":7,"area":null},{"id":"2201.02980","title":"Invariance encoding in sliced-Wasserstein space for image classification with limited training data","created":"2022-01-09","cited_by_count":7,"area":null},{"id":"2207.01269","title":"DiffML: End-to-end Differentiable ML Pipelines","created":"2022-07-04","cited_by_count":7,"area":null},{"id":"2208.11566","title":"Apple Counting using Convolutional Neural Networks","created":"2022-08-24","cited_by_count":7,"area":null},{"id":"2102.11237","title":"Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation","created":"2021-02-22","cited_by_count":5,"area":null},{"id":"2103.07895","title":"Principled Ultrasound Data Augmentation for Classification of Standard Planes","created":"2021-03-14","cited_by_count":5,"area":null},{"id":"2104.00219","title":"Fast Jacobian-Vector Product for Deep Networks","created":"2021-04-01","cited_by_count":4,"area":null},{"id":"2104.00925","title":"Landmarks Augmentation with Manifold-Barycentric Oversampling","created":"2021-04-02","cited_by_count":4,"area":null},{"id":"2110.13996","title":"Controllable Data Augmentation Through Deep Relighting","created":"2021-10-26","cited_by_count":4,"area":null},{"id":"2207.06647","title":"PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations","created":"2022-07-14","cited_by_count":4,"area":null},{"id":"2201.05401","title":"Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study","created":"2022-01-14","cited_by_count":3,"area":null},{"id":"2201.09700","title":"Feature transforms for image data augmentation","created":"2022-01-24","cited_by_count":3,"area":null},{"id":"2207.14580","title":"Image Augmentation for Satellite Images","created":"2022-07-29","cited_by_count":3,"area":null},{"id":"2303.05607","title":"An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2410.15766","title":"How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?","created":"2024-10-21","cited_by_count":3,"area":null},{"id":"2108.00439","title":"Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach","created":"2021-08-01","cited_by_count":2,"area":null},{"id":"2201.03560","title":"Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples","created":"2022-01-10","cited_by_count":2,"area":null},{"id":"2202.06547","title":"Video2IMU: Realistic IMU features and signals from videos","created":"2022-02-14","cited_by_count":1,"area":null},{"id":"2205.07953","title":"Application of multilayer perceptron with data augmentation in nuclear physics","created":"2022-05-16","cited_by_count":1,"area":null},{"id":"2211.07959","title":"The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck","created":"2022-11-15","cited_by_count":1,"area":null},{"id":"2304.04271","title":"Embarrassingly Simple MixUp for Time-series","created":"2023-04-09","cited_by_count":1,"area":null},{"id":"2101.02509","title":"Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN","created":"2021-01-07","cited_by_count":0,"area":null},{"id":"2103.13677","title":"Explainability Guided Multi-Site COVID-19 CT Classification","created":"2021-03-25","cited_by_count":0,"area":null},{"id":"2109.01880","title":"Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging","created":"2021-09-04","cited_by_count":0,"area":null},{"id":"2109.06168","title":"Generatively Augmented Neural Network Watchdog for Image Classification Networks","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2202.10554","title":"Ensemble Learning techniques for object detection in high-resolution satellite images","created":"2022-02-16","cited_by_count":0,"area":null},{"id":"2210.05599","title":"Improving Sample Efficiency of Deep Learning Models in Electricity Market","created":"2022-10-11","cited_by_count":0,"area":null},{"id":"2301.09264","title":"Efficient Training Under Limited Resources","created":"2023-01-23","cited_by_count":0,"area":null},{"id":"2303.02400","title":"Fine-Grained ImageNet Classification in the Wild","created":"2023-03-04","cited_by_count":0,"area":null},{"id":"2305.02882","title":"Simple Noisy Environment Augmentation for Reinforcement Learning","created":"2023-05-04","cited_by_count":0,"area":null}],"next_cursor":null}