{"total":21,"rows":[{"id":"2304.14108","title":"DataComp: In search of the next generation of multimodal datasets","created":"2023-04-27","cited_by_count":644,"area":"diffusion"},{"id":"2212.08420","title":"Fake it till you make it: Learning transferable representations from synthetic ImageNet clones","created":"2022-12-16","cited_by_count":172,"area":"diffusion"},{"id":"2302.03298","title":"Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion","created":"2023-02-07","cited_by_count":81,"area":"diffusion"},{"id":"2407.00783","title":"Diffusion Models and Representation Learning: A Survey","created":"2024-06-30","cited_by_count":54,"area":"diffusion"},{"id":"2305.15316","title":"Training on Thin Air: Improve Image Classification with Generated Data","created":"2023-05-24","cited_by_count":50,"area":"diffusion"},{"id":"2407.20171","title":"Diffusion Feedback Helps CLIP See Better","created":"2024-07-29","cited_by_count":38,"area":"diffusion"},{"id":"2407.10910","title":"DataDream: Few-shot Guided Dataset Generation","created":"2024-07-15","cited_by_count":29,"area":"diffusion"},{"id":"2306.14770","title":"ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion","created":"2023-06-26","cited_by_count":16,"area":"diffusion"},{"id":"2304.10253","title":"Image retrieval outperforms diffusion models on data augmentation","created":"2023-04-20","cited_by_count":14,"area":"diffusion"},{"id":"2406.06218","title":"Data Augmentation in Earth Observation: A Diffusion Model Approach","created":"2024-06-10","cited_by_count":7,"area":"diffusion"},{"id":"2602.20479","title":"Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation","created":"2026-02-24","cited_by_count":4,"area":"diffusion"},{"id":"2308.09306","title":"DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability","created":"2023-08-18","cited_by_count":3,"area":"diffusion"},{"id":"2407.18658","title":"Adversarial Robustification via Text-to-Image Diffusion Models","created":"2024-07-26","cited_by_count":3,"area":"diffusion"},{"id":"2504.21423","title":"Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision","created":"2025-04-30","cited_by_count":3,"area":"diffusion"},{"id":"2507.06482","title":"FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning","created":"2025-07-09","cited_by_count":3,"area":"diffusion"},{"id":"2410.20164","title":"Prompt Diffusion Robustifies Any-Modality Prompt Learning","created":"2024-10-26","cited_by_count":2,"area":"diffusion"},{"id":"2508.09922","title":"Prototype-Guided Diffusion: Visual Conditioning without External Memory","created":"2025-08-13","cited_by_count":0,"area":"diffusion"},{"id":"2602.19708","title":"ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets","created":"2026-02-23","cited_by_count":0,"area":"diffusion"},{"id":"2605.08557","title":"MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching","created":"2026-05-08","cited_by_count":0,"area":"diffusion"},{"id":"2608.01896","title":"GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation","created":"2026-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2610.04038","title":"Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models","created":"2026-10-02","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}