{"total":37,"rows":[{"id":"2108.08810","title":"Do Vision Transformers See Like Convolutional Neural Networks?","created":"2021-08-19","cited_by_count":675,"area":null},{"id":"2106.07998","title":"Revisiting the Calibration of Modern Neural Networks","created":"2021-06-15","cited_by_count":390,"area":null},{"id":"2401.10815","title":"Exploring scalable medical image encoders beyond text supervision","created":"2024-01-19","cited_by_count":132,"area":null},{"id":"2110.02095","title":"Exploring the Limits of Large Scale Pre-training","created":"2021-10-05","cited_by_count":104,"area":null},{"id":"2104.03829","title":"Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions","created":"2021-04-08","cited_by_count":68,"area":null},{"id":"2203.01825","title":"What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors","created":"2022-03-02","cited_by_count":61,"area":null},{"id":"2103.13318","title":"Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types","created":"2021-03-24","cited_by_count":54,"area":null},{"id":"2211.16886","title":"A Unifying Theory of Distance from Calibration","created":"2022-11-30","cited_by_count":53,"area":null},{"id":"2205.09723","title":"Robust and Efficient Medical Imaging with Self-Supervision","created":"2022-05-19","cited_by_count":40,"area":null},{"id":"2312.02366","title":"Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks","created":"2023-12-04","cited_by_count":33,"area":null},{"id":"2108.05930","title":"A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis","created":"2021-08-12","cited_by_count":31,"area":null},{"id":"2204.01403","title":"How stable are Transferability Metrics evaluations?","created":"2022-04-04","cited_by_count":30,"area":null},{"id":"2111.01754","title":"Meta-Learning to Improve Pre-Training","created":"2021-11-02","cited_by_count":27,"area":null},{"id":"2111.13011","title":"Transferability Metrics for Selecting Source Model Ensembles","created":"2021-11-25","cited_by_count":24,"area":null},{"id":"2212.07050","title":"Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders","created":"2022-12-14","cited_by_count":15,"area":null},{"id":"2205.09904","title":"Deep transfer learning for image classification: a survey","created":"2022-05-20","cited_by_count":13,"area":null},{"id":"2106.00116","title":"Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images","created":"2021-05-31","cited_by_count":11,"area":null},{"id":"2202.07652","title":"Predicting on the Edge: Identifying Where a Larger Model Does Better","created":"2022-02-15","cited_by_count":6,"area":null},{"id":"2206.15073","title":"COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings","created":"2022-06-30","cited_by_count":6,"area":null},{"id":"2201.01250","title":"Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity","created":"2022-01-04","cited_by_count":5,"area":null},{"id":"2309.02429","title":"Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach","created":"2023-09-05","cited_by_count":5,"area":null},{"id":"2404.02973","title":"Scaling Laws for Galaxy Images","created":"2024-04-03","cited_by_count":5,"area":null},{"id":"2201.10849","title":"Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning","created":"2022-01-26","cited_by_count":4,"area":null},{"id":"2507.00868","title":"Is Visual in-Context Learning for Compositional Medical Tasks within Reach?","created":"2025-07-01","cited_by_count":3,"area":null},{"id":"2206.13399","title":"Transfer Learning via Test-Time Neural Networks Aggregation","created":"2022-06-27","cited_by_count":2,"area":null},{"id":"2103.03166","title":"Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis","created":"2021-03-04","cited_by_count":1,"area":null},{"id":"2310.06124","title":"Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2503.11335","title":"APLA: A Simple Adaptation Method for Vision Transformers","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2108.07930","title":"A new semi-supervised inductive transfer learning framework: Co-Transfer","created":"2021-08-18","cited_by_count":0,"area":null},{"id":"2202.00087","title":"Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification","created":"2022-01-31","cited_by_count":0,"area":null},{"id":"2210.09698","title":"Weakly Supervised Learning with Automated Labels from Radiology Reports for Glioma Change Detection","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2308.08517","title":"Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database","created":"2023-07-27","cited_by_count":0,"area":null},{"id":"2412.00702","title":"Enhancing Skin Lesion Classification Generalization with Active Domain Adaptation","created":"2024-12-01","cited_by_count":0,"area":null},{"id":"2412.01948","title":"The Evolution and Future Perspectives of Artificial Intelligence Generated Content","created":"2024-12-02","cited_by_count":0,"area":null},{"id":"2503.00450","title":"Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2509.25590","title":"MetaChest: Generalized few-shot learning of pathologies from chest X-rays","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2603.24434","title":"The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment","created":"2026-03-25","cited_by_count":0,"area":null}],"next_cursor":null}