Information-Guided Diffusion Sampling for Dataset Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Linfeng, Hamidi, Shayan Mohajer, Li, Guang, Ogawa, Takahiro, Haseyama, Miki, Plataniotis, Konstantinos N. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAS: Semantic-aware Sampling for Generative Dataset Distillation
by: Li, Mingzhuo, et al.
Published: (2026)
by: Li, Mingzhuo, et al.
Published: (2026)
Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks
by: Li, Mingzhuo, et al.
Published: (2026)
by: Li, Mingzhuo, et al.
Published: (2026)
ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026)
by: Ye, Linfeng, et al.
Published: (2026)
Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
by: Ye, Linfeng, et al.
Published: (2024)
by: Ye, Linfeng, et al.
Published: (2024)
Importance-Aware Adaptive Dataset Distillation
by: Li, Guang, et al.
Published: (2024)
by: Li, Guang, et al.
Published: (2024)
Hyperbolic Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
Decoupled Audio-Visual Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers
by: Ye, Linfeng, et al.
Published: (2026)
by: Ye, Linfeng, et al.
Published: (2026)
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Generative Dataset Distillation Based on Diffusion Model
by: Su, Duo, et al.
Published: (2024)
by: Su, Duo, et al.
Published: (2024)
Generative Dataset Distillation Based on Self-knowledge Distillation
by: Li, Longzhen, et al.
Published: (2025)
by: Li, Longzhen, et al.
Published: (2025)
Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
by: Peng, Bincheng, et al.
Published: (2026)
by: Peng, Bincheng, et al.
Published: (2026)
Foreground-Aware Dataset Distillation via Dynamic Patch Selection
by: Li, Longzhen, et al.
Published: (2026)
by: Li, Longzhen, et al.
Published: (2026)
Generative Dataset Distillation: Balancing Global Structure and Local Details
by: Li, Longzhen, et al.
Published: (2024)
by: Li, Longzhen, et al.
Published: (2024)
FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
by: Ma, Hongxu, et al.
Published: (2026)
by: Ma, Hongxu, et al.
Published: (2026)
Soft-Label Anonymous Gastric X-ray Image Distillation
by: Li, Guang, et al.
Published: (2021)
by: Li, Guang, et al.
Published: (2021)
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
by: Tsutsumi, Ayaka, et al.
Published: (2025)
by: Tsutsumi, Ayaka, et al.
Published: (2025)
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
by: Zhang, Huaying, et al.
Published: (2024)
by: Zhang, Huaying, et al.
Published: (2024)
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
by: Yang, Minghao, et al.
Published: (2025)
by: Yang, Minghao, et al.
Published: (2025)
Predictive but Not Plannable: RC-aux for Latent World Models
by: Li, Wenyuan, et al.
Published: (2026)
by: Li, Wenyuan, et al.
Published: (2026)
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
by: Li, Guang, et al.
Published: (2022)
by: Li, Guang, et al.
Published: (2022)
Cross-domain Multi-step Thinking: Zero-shot Fine-grained Traffic Sign Recognition in the Wild
by: Gan, Yaozong, et al.
Published: (2024)
by: Gan, Yaozong, et al.
Published: (2024)
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
by: Gan, Yaozong, et al.
Published: (2024)
by: Gan, Yaozong, et al.
Published: (2024)
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
by: Togo, Taro, et al.
Published: (2024)
by: Togo, Taro, et al.
Published: (2024)
Objectness Similarity: Capturing Object-Level Fidelity in 3D Scene Evaluation
by: Uchida, Yuiko, et al.
Published: (2025)
by: Uchida, Yuiko, et al.
Published: (2025)
Prompt-based Personalized Federated Learning for Medical Visual Question Answering
by: Zhu, He, et al.
Published: (2024)
by: Zhu, He, et al.
Published: (2024)
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
by: Feng, Yuhu, et al.
Published: (2025)
by: Feng, Yuhu, et al.
Published: (2025)
Noise Scheduling as Information-Guided Allocation in Diffusion Training
by: Raya, Gabriel, et al.
Published: (2026)
by: Raya, Gabriel, et al.
Published: (2026)
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering
by: Zhu, He, et al.
Published: (2024)
by: Zhu, He, et al.
Published: (2024)
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images
by: Tasai, Ren, et al.
Published: (2025)
by: Tasai, Ren, et al.
Published: (2025)
Reinforcing Pre-trained Models Using Counterfactual Images
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
ATOM: Attention Mixer for Efficient Dataset Distillation
by: Khaki, Samir, et al.
Published: (2024)
by: Khaki, Samir, et al.
Published: (2024)
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
by: Wang, Shaobo, et al.
Published: (2024)
by: Wang, Shaobo, et al.
Published: (2024)
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
Accelerating Diffusion Models with One-to-Many Knowledge Distillation
by: Zhang, Linfeng, et al.
Published: (2024)
by: Zhang, Linfeng, et al.
Published: (2024)
From Fewer Samples to Fewer Bits: Reframing Dataset Distillation as Joint Optimization of Precision and Compactness
by: Dinh, My H., et al.
Published: (2026)
by: Dinh, My H., et al.
Published: (2026)
Similar Items
-
SAS: Semantic-aware Sampling for Generative Dataset Distillation
by: Li, Mingzhuo, et al.
Published: (2026) -
Difficulty-guided Sampling: Bridging the Target Gap between Dataset Distillation and Downstream Tasks
by: Li, Mingzhuo, et al.
Published: (2026) -
ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026) -
Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling
by: Li, Mingzhuo, et al.
Published: (2025) -
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
by: Ye, Linfeng, et al.
Published: (2024)