{"total":24,"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":"2303.16203","title":"Your Diffusion Model is Secretly a Zero-Shot Classifier","created":"2023-03-28","cited_by_count":306,"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":"2309.13415","title":"Dream the Impossible: Outlier Imagination with Diffusion Models","created":"2023-09-23","cited_by_count":77,"area":"diffusion"},{"id":"2407.20171","title":"Diffusion Feedback Helps CLIP See Better","created":"2024-07-29","cited_by_count":38,"area":"diffusion"},{"id":"2311.16102","title":"Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback","created":"2023-11-27","cited_by_count":27,"area":"diffusion"},{"id":"2308.14409","title":"Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction","created":"2023-08-28","cited_by_count":15,"area":"diffusion"},{"id":"2312.14216","title":"DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation","created":"2023-12-21","cited_by_count":10,"area":"diffusion"},{"id":"2508.11277","title":"Probing the Representational Power of Sparse Autoencoders in Vision Models","created":"2025-08-15","cited_by_count":10,"area":"diffusion"},{"id":"2311.12981","title":"SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion","created":"2023-11-21","cited_by_count":5,"area":"diffusion"},{"id":"2405.19201","title":"Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations","created":"2024-05-29","cited_by_count":5,"area":"diffusion"},{"id":"2407.03588","title":"FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization","created":"2024-07-04","cited_by_count":5,"area":"diffusion"},{"id":"2304.02963","title":"Benchmarking Robustness to Text-Guided Corruptions","created":"2023-04-06","cited_by_count":4,"area":"diffusion"},{"id":"2402.08200","title":"Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation","created":"2024-02-13","cited_by_count":4,"area":"diffusion"},{"id":"2502.05153","title":"Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment","created":"2025-02-07","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":"2509.25003","title":"Score-based Membership Inference on Diffusion Models","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2406.17688","title":"Unified Auto-Encoding with Masked Diffusion","created":"2024-06-25","cited_by_count":2,"area":"diffusion"},{"id":"2410.20164","title":"Prompt Diffusion Robustifies Any-Modality Prompt Learning","created":"2024-10-26","cited_by_count":2,"area":"diffusion"},{"id":"2507.17651","title":"CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts","created":"2025-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2605.07253","title":"LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling","created":"2026-05-08","cited_by_count":1,"area":"diffusion"},{"id":"2209.10948","title":"Implementing and Experimenting with Diffusion Models for Text-to-Image Generation","created":"2022-09-22","cited_by_count":0,"area":"diffusion"},{"id":"2602.15405","title":"Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits","created":"2026-02-17","cited_by_count":0,"area":"diffusion"},{"id":"2608.22824","title":"DIME: Query-Efficient Framework for Membership Inference on Diffusion Models","created":"2026-08-24","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}