{"total":77,"rows":[{"id":"2505.17799","title":"A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances","created":"2025-05-23","cited_by_count":28,"area":null},{"id":"2502.05673","title":"The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions","created":"2025-02-08","cited_by_count":26,"area":null},{"id":"2506.23580","title":"Dataset Distillation via Vision-Language Category Prototype","created":"2025-06-30","cited_by_count":19,"area":null},{"id":"2410.17193","title":"Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios","created":"2024-10-22","cited_by_count":18,"area":null},{"id":"2505.18399","title":"Taming Diffusion for Dataset Distillation with High Representativeness","created":"2025-05-23","cited_by_count":18,"area":null},{"id":"2505.24623","title":"Hyperbolic Dataset Distillation","created":"2025-05-30","cited_by_count":15,"area":null},{"id":"2408.08610","title":"Generative Dataset Distillation Based on Diffusion Model","created":"2024-08-16","cited_by_count":13,"area":"diffusion"},{"id":"2505.13300","title":"DD-Ranking: Rethinking the Evaluation of Dataset Distillation","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2507.04619","title":"Information-Guided Diffusion Sampling for Dataset Distillation","created":"2025-07-07","cited_by_count":10,"area":"diffusion"},{"id":"2408.14506","title":"Distilling Long-tailed Datasets","created":"2024-08-24","cited_by_count":9,"area":null},{"id":"2603.06932","title":"HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation","created":"2026-03-06","cited_by_count":9,"area":null},{"id":"2505.18963","title":"MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2509.15472","title":"Efficient Multimodal Dataset Distillation via Generative Models","created":"2025-09-18","cited_by_count":7,"area":null},{"id":"2502.06434","title":"Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2602.19946","title":"When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators","created":"2026-02-23","cited_by_count":6,"area":"diffusion"},{"id":"2503.04835","title":"Distilling Dataset into Neural Field","created":"2025-03-05","cited_by_count":5,"area":null},{"id":"2506.22463","title":"Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization","created":"2025-06-18","cited_by_count":5,"area":"diffusion"},{"id":"2508.01139","title":"Dataset Condensation with Color Compensation","created":"2025-08-02","cited_by_count":5,"area":"diffusion"},{"id":"2510.04838","title":"Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation","created":"2025-10-06","cited_by_count":5,"area":null},{"id":"2512.00308","title":"Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation","created":"2025-11-29","cited_by_count":5,"area":null},{"id":"2412.09945","title":"Going Beyond Feature Similarity: Effective Dataset Distillation based on Class-Aware Conditional Mutual Information","created":"2024-12-13","cited_by_count":4,"area":null},{"id":"2602.23295","title":"ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation","created":"2026-02-26","cited_by_count":4,"area":null},{"id":"2603.07476","title":"EVLF: Early Vision-Language Fusion for Generative Dataset Distillation","created":"2026-03-08","cited_by_count":4,"area":null},{"id":"2409.01410","title":"Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2505.18358","title":"CONCORD: Concept-Informed Diffusion for Dataset Distillation","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2505.24190","title":"Provably Improving Generalization of Few-Shot Models with Synthetic Data","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2510.17421","title":"Diffusion Models as Dataset Distillation Priors","created":"2025-10-20","cited_by_count":3,"area":"diffusion"},{"id":"2603.25144","title":"FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation","created":"2026-03-26","cited_by_count":3,"area":null},{"id":"2604.00519","title":"Learnability-Guided Diffusion for Dataset Distillation","created":"2026-04-01","cited_by_count":3,"area":"diffusion"},{"id":"2605.03877","title":"DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models","created":"2026-05-05","cited_by_count":3,"area":"diffusion"},{"id":"2605.07194","title":"Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models","created":"2026-05-08","cited_by_count":3,"area":null},{"id":"2605.23482","title":"Multimodal Distribution Matching for Vision-Language Dataset Distillation","created":"2026-05-22","cited_by_count":3,"area":null},{"id":"2503.01212","title":"Understanding Dataset Distillation via Spectral Filtering","created":"2025-03-03","cited_by_count":2,"area":null},{"id":"2507.17221","title":"Dataset Distillation as Data Compression: A Rate-Utility Perspective","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2603.07433","title":"Data Agent: Learning to Select Data via End-to-End Dynamic Optimization","created":"2026-03-08","cited_by_count":2,"area":null},{"id":"2501.07681","title":"Dataset Distillation as Pushforward Optimal Quantization","created":"2025-01-13","cited_by_count":1,"area":"diffusion"},{"id":"2503.13935","title":"SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization","created":"2025-03-18","cited_by_count":1,"area":null},{"id":"2505.20694","title":"Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2505.22387","title":"DAM: Domain-Aware Module for Multi-Domain Dataset Condensation","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2507.22360","title":"GVD: Guiding Video Diffusion Model for Scalable Video Distillation","created":"2025-07-30","cited_by_count":1,"area":"diffusion"},{"id":"2509.13858","title":"EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2509.19743","title":"Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation","created":"2025-09-24","cited_by_count":1,"area":null},{"id":"2511.17914","title":"Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation","created":"2025-11-22","cited_by_count":1,"area":null},{"id":"2512.15647","title":"Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift","created":"2025-12-17","cited_by_count":1,"area":null},{"id":"2601.15829","title":"Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion","created":"2026-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2604.18811","title":"Rethinking Dataset Distillation: Hard Truths about Soft Labels","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2605.12649","title":"DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2605.18893","title":"Position: Graph Condensation Needs a Reset -- Move Beyond Full-dataset Training and Model-Dependence","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2606.21705","title":"Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space","created":"2026-06-19","cited_by_count":1,"area":null},{"id":"2505.06670","title":"Video Dataset Condensation with Diffusion Models","created":"2025-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2505.08605","title":"Leveraging Multi-Modal Information to Enhance Dataset Distillation","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2505.17245","title":"Extending Dataset Pruning to Object Detection: A Variance-based Approach","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2506.02021","title":"Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2507.13074","title":"Label-Consistent Dataset Distillation with Detector-Guided Refinement","created":"2025-07-17","cited_by_count":0,"area":"diffusion"},{"id":"2509.14777","title":"Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models","created":"2025-09-18","cited_by_count":0,"area":"diffusion"},{"id":"2511.09905","title":"PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2512.03844","title":"CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation","created":"2025-12-03","cited_by_count":0,"area":"diffusion"},{"id":"2512.14621","title":"Distill Video Datasets into Images","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2512.21866","title":"Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation","created":"2025-12-26","cited_by_count":0,"area":null},{"id":"2601.10090","title":"Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2602.05391","title":"Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching","created":"2026-02-05","cited_by_count":0,"area":"diffusion"},{"id":"2602.05616","title":"Path-Guided Flow Matching for Dataset Distillation","created":"2026-02-05","cited_by_count":0,"area":"diffusion"},{"id":"2602.15277","title":"Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2602.19756","title":"Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.13960","title":"IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation","created":"2026-03-14","cited_by_count":0,"area":"diffusion"},{"id":"2603.28092","title":"InkDrop: Invisible Backdoor Attacks Against Dataset Condensation","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.10666","title":"Omnimodal Dataset Distillation via High-order Proxy Alignment","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2604.18135","title":"Soft Label Pruning and Quantization for Large-Scale Dataset Distillation","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.18012","title":"SAS: Semantic-aware Sampling for Generative Dataset Distillation","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.25022","title":"D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2606.01920","title":"Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.18209","title":"Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2606.29464","title":"Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation","created":"2026-06-28","cited_by_count":0,"area":"mllm"},{"id":"2607.25318","title":"Dataset Distillation Based on Saliency-Driven Prototype Alignment","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.25480","title":"DeCO: Discriminative Evidence Composition for Fine-Grained Dataset Distillation","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.34299","title":"PSM: Dataset Distillation Based on Precise Statistical Matching by Difficulty","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.16134","title":"ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}