Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Muquan, Gou, Hang, Zhang, Dongyang, Liang, Shuang, Xie, Xiurui, Ouyang, Deqiang, Qin, Ke |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Adaptive Dataset Quantization
por: Li, Muquan, et al.
Publicado: (2024)
por: Li, Muquan, et al.
Publicado: (2024)
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
por: Li, Muquan, et al.
Publicado: (2024)
por: Li, Muquan, et al.
Publicado: (2024)
Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation
por: Li, Muquan, et al.
Publicado: (2026)
por: Li, Muquan, et al.
Publicado: (2026)
Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
por: Li, Muquan, et al.
Publicado: (2026)
por: Li, Muquan, et al.
Publicado: (2026)
Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation
por: Zhang, Xin, et al.
Publicado: (2025)
por: Zhang, Xin, et al.
Publicado: (2025)
A Label is Worth a Thousand Images in Dataset Distillation
por: Qin, Tian, et al.
Publicado: (2024)
por: Qin, Tian, et al.
Publicado: (2024)
Towards Trustworthy Dataset Distillation
por: Ma, Shijie, et al.
Publicado: (2023)
por: Ma, Shijie, et al.
Publicado: (2023)
Dataset Distillation by Automatic Training Trajectories
por: Liu, Dai, et al.
Publicado: (2024)
por: Liu, Dai, et al.
Publicado: (2024)
Exploring the Impact of Dataset Bias on Dataset Distillation
por: Lu, Yao, et al.
Publicado: (2024)
por: Lu, Yao, et al.
Publicado: (2024)
Dataset Distillation as Data Compression: A Rate-Utility Perspective
por: Bao, Youneng, et al.
Publicado: (2025)
por: Bao, Youneng, et al.
Publicado: (2025)
Dataset Distillers Are Good Label Denoisers In the Wild
por: Cheng, Lechao, et al.
Publicado: (2024)
por: Cheng, Lechao, et al.
Publicado: (2024)
Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach
por: Yu, Dongyang, et al.
Publicado: (2023)
por: Yu, Dongyang, et al.
Publicado: (2023)
Multi-Modal Dataset Distillation in the Wild
por: Dang, Zhuohang, et al.
Publicado: (2025)
por: Dang, Zhuohang, et al.
Publicado: (2025)
Optimizing Few-Step Generation with Adaptive Matching Distillation
por: Bai, Lichen, et al.
Publicado: (2026)
por: Bai, Lichen, et al.
Publicado: (2026)
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
por: Sun, Peng, et al.
Publicado: (2023)
por: Sun, Peng, et al.
Publicado: (2023)
Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
por: Gu, Xulin, et al.
Publicado: (2025)
por: Gu, Xulin, et al.
Publicado: (2025)
Improve Cross-Architecture Generalization on Dataset Distillation
por: Zhou, Binglin, et al.
Publicado: (2024)
por: Zhou, Binglin, et al.
Publicado: (2024)
Understanding Dataset Distillation via Spectral Filtering
por: Bo, Deyu, et al.
Publicado: (2025)
por: Bo, Deyu, et al.
Publicado: (2025)
Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization
por: Alahmadi, Muhammad J., et al.
Publicado: (2026)
por: Alahmadi, Muhammad J., et al.
Publicado: (2026)
Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm
por: Huang, Guanming, et al.
Publicado: (2024)
por: Huang, Guanming, et al.
Publicado: (2024)
Hyperbolic Dataset Distillation
por: Li, Wenyuan, et al.
Publicado: (2025)
por: Li, Wenyuan, et al.
Publicado: (2025)
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
por: Cui, Xiao, et al.
Publicado: (2025)
por: Cui, Xiao, et al.
Publicado: (2025)
Dataset Distillation with Probabilistic Latent Features
por: Li, Zhe, et al.
Publicado: (2025)
por: Li, Zhe, et al.
Publicado: (2025)
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
por: Xue, Eric, et al.
Publicado: (2024)
por: Xue, Eric, et al.
Publicado: (2024)
Low-Rank Similarity Mining for Multimodal Dataset Distillation
por: Xu, Yue, et al.
Publicado: (2024)
por: Xu, Yue, et al.
Publicado: (2024)
DataDAM: Efficient Dataset Distillation with Attention Matching
por: Sajedi, Ahmad, et al.
Publicado: (2023)
por: Sajedi, Ahmad, et al.
Publicado: (2023)
Spectral Gradient Surgery for Domain-Generalizable Dataset Distillation
por: Oh, Minyoung, et al.
Publicado: (2026)
por: Oh, Minyoung, et al.
Publicado: (2026)
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
por: Du, Jiawei, et al.
Publicado: (2024)
por: Du, Jiawei, et al.
Publicado: (2024)
Generative Dataset Distillation Based on Self-knowledge Distillation
por: Li, Longzhen, et al.
Publicado: (2025)
por: Li, Longzhen, et al.
Publicado: (2025)
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
por: Zhang, Xin, et al.
Publicado: (2024)
por: Zhang, Xin, et al.
Publicado: (2024)
Rethinking Dataset Distillation: Hard Truths about Soft Labels
por: Dey, Priyam, et al.
Publicado: (2026)
por: Dey, Priyam, et al.
Publicado: (2026)
Mitigating Bias in Dataset Distillation
por: Cui, Justin, et al.
Publicado: (2024)
por: Cui, Justin, et al.
Publicado: (2024)
Distilling Dataset into Neural Field
por: Shin, Donghyeok, et al.
Publicado: (2025)
por: Shin, Donghyeok, et al.
Publicado: (2025)
Personalized Image Generation via Human-in-the-loop Bayesian Optimization
por: Rajagopalan, Rajalaxmi, et al.
Publicado: (2026)
por: Rajagopalan, Rajalaxmi, et al.
Publicado: (2026)
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
por: Zhang, Weidong, et al.
Publicado: (2025)
por: Zhang, Weidong, et al.
Publicado: (2025)
Dataset Distillation as Pushforward Optimal Quantization
por: Tan, Hong Ye, et al.
Publicado: (2025)
por: Tan, Hong Ye, et al.
Publicado: (2025)
Unlocking Dataset Distillation with Diffusion Models
por: Moser, Brian B., et al.
Publicado: (2024)
por: Moser, Brian B., et al.
Publicado: (2024)
Dataset Distillation via the Wasserstein Metric
por: Liu, Haoyang, et al.
Publicado: (2023)
por: Liu, Haoyang, et al.
Publicado: (2023)
Importance-Aware Adaptive Dataset Distillation
por: Li, Guang, et al.
Publicado: (2024)
por: Li, Guang, et al.
Publicado: (2024)
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
por: Fang, Pengfei, et al.
Publicado: (2024)
por: Fang, Pengfei, et al.
Publicado: (2024)
Ejemplares similares
-
Adaptive Dataset Quantization
por: Li, Muquan, et al.
Publicado: (2024) -
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
por: Li, Muquan, et al.
Publicado: (2024) -
Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation
por: Li, Muquan, et al.
Publicado: (2026) -
Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
por: Li, Muquan, et al.
Publicado: (2026) -
Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation
por: Zhang, Xin, et al.
Publicado: (2025)