{"total":26,"rows":[{"id":"2205.06743","title":"A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities","created":"2022-05-13","cited_by_count":163,"area":null},{"id":"2104.08027","title":"Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders","created":"2021-04-16","cited_by_count":88,"area":null},{"id":"2112.12089","title":"Reflash Dropout in Image Super-Resolution","created":"2021-12-22","cited_by_count":41,"area":null},{"id":"2102.10106","title":"Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction","created":"2021-02-19","cited_by_count":36,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2210.05021","title":"The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective","created":"2022-10-10","cited_by_count":24,"area":null},{"id":"2305.13192","title":"SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives","created":"2023-05-22","cited_by_count":15,"area":null},{"id":"2202.08325","title":"A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments","created":"2022-02-16","cited_by_count":14,"area":null},{"id":"2307.12463","title":"Rethinking Data Distillation: Do Not Overlook Calibration","created":"2023-07-24","cited_by_count":13,"area":null},{"id":"2405.02996","title":"RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification","created":"2024-05-05","cited_by_count":12,"area":null},{"id":"2206.02435","title":"Tackling covariate shift with node-based Bayesian neural networks","created":"2022-06-06","cited_by_count":8,"area":null},{"id":"2304.11668","title":"CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition","created":"2023-04-23","cited_by_count":7,"area":null},{"id":"2311.06965","title":"Anchor Data Augmentation","created":"2023-11-12","cited_by_count":6,"area":null},{"id":"2204.02027","title":"A Survey on Dropout Methods and Experimental Verification in Recommendation","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2404.06243","title":"ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2209.09844","title":"Frequency Dropout: Feature-Level Regularization via Randomized Filtering","created":"2022-09-20","cited_by_count":2,"area":null},{"id":"2501.01132","title":"Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2206.00913","title":"Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction","created":"2022-06-02","cited_by_count":1,"area":null},{"id":"2303.14537","title":"Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning","created":"2023-03-25","cited_by_count":1,"area":null},{"id":"2405.19590","title":"Weights Augmentation: it has never ever ever ever let her model down","created":"2024-05-30","cited_by_count":1,"area":null},{"id":"2209.05741","title":"SkIn: Skimming-Intensive Long-Text Classification Using BERT for Medical Corpus","created":"2022-09-13","cited_by_count":0,"area":null},{"id":"2303.15570","title":"Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks","created":"2023-03-27","cited_by_count":0,"area":null},{"id":"2305.18684","title":"ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States","created":"2023-05-30","cited_by_count":0,"area":null},{"id":"2308.02870","title":"ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging","created":"2023-08-05","cited_by_count":0,"area":null},{"id":"2505.21595","title":"Relevance-driven Input Dropout: an Explanation-guided Regularization Technique","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2512.22901","title":"A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments","created":"2025-12-28","cited_by_count":0,"area":null}],"next_cursor":null}