{"total":20,"rows":[{"id":"2102.04074","title":"Learning Curve Theory","created":"2021-02-08","cited_by_count":85,"area":null},{"id":"2103.10948","title":"The Shape of Learning Curves: a Review","created":"2021-03-19","cited_by_count":70,"area":null},{"id":"2202.01994","title":"Data Scaling Laws in NMT: The Effect of Noise and Architecture","created":"2022-02-04","cited_by_count":55,"area":null},{"id":"2207.01725","title":"How Much More Data Do I Need? Estimating Requirements for Downstream Tasks","created":"2022-07-04","cited_by_count":23,"area":null},{"id":"2210.01234","title":"Optimizing Data Collection for Machine Learning","created":"2022-10-03","cited_by_count":15,"area":null},{"id":"2306.11475","title":"Delegated Classification","created":"2023-06-20","cited_by_count":10,"area":null},{"id":"2304.02539","title":"Multi-annotator Deep Learning: A Probabilistic Framework for Classification","created":"2023-04-05","cited_by_count":8,"area":null},{"id":"2401.10359","title":"Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting","created":"2024-01-18","cited_by_count":6,"area":null},{"id":"2402.07035","title":"Distilling Symbolic Priors for Concept Learning into Neural Networks","created":"2024-02-10","cited_by_count":5,"area":null},{"id":"2303.01598","title":"A Meta-Learning Approach to Predicting Performance and Data Requirements","created":"2023-03-02","cited_by_count":4,"area":null},{"id":"2209.03789","title":"Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance","created":"2022-09-08","cited_by_count":3,"area":null},{"id":"2311.18025","title":"A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2405.14422","title":"Unraveling overoptimism and publication bias in ML-driven science","created":"2024-05-23","cited_by_count":3,"area":null},{"id":"2211.14061","title":"A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance","created":"2022-11-25","cited_by_count":2,"area":null},{"id":"2202.03365","title":"Simple Control Baselines for Evaluating Transfer Learning","created":"2022-02-07","cited_by_count":1,"area":null},{"id":"2505.15657","title":"LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2310.08470","title":"Strategies and impact of learning curve estimation for CNN-based image classification","created":"2023-10-12","cited_by_count":0,"area":null},{"id":"2405.18139","title":"Unlocking Futures: A Natural Language Driven Career Prediction System for Computer Science and Software Engineering Students","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2506.08612","title":"Data-Efficient Challenges in Visual Inductive Priors: A Retrospective","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2510.11553","title":"How many samples to label for an application given a foundation model? Chest X-ray classification study","created":"2025-10-13","cited_by_count":0,"area":null}],"next_cursor":null}