Dataset Distillation via the Wasserstein Metric
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Haoyang, Li, Yijiang, Xing, Tiancheng, Wang, Peiran, Dalal, Vibhu, Li, Luwei, He, Jingrui, Wang, Haohan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)
by: Xue, Eric, et al.
Published: (2024)
Simple Unsupervised Knowledge Distillation With Space Similarity
by: Singh, Aditya, et al.
Published: (2024)
by: Singh, Aditya, et al.
Published: (2024)
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
by: Leng, Jixuan, et al.
Published: (2023)
by: Leng, Jixuan, et al.
Published: (2023)
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
by: Zheng, Runkai, et al.
Published: (2025)
by: Zheng, Runkai, et al.
Published: (2025)
Beyond Dataset Distillation: Lossless Dataset Concentration via Diffusion-Assisted Distribution Alignment
by: Liu, Tongfei, et al.
Published: (2026)
by: Liu, Tongfei, et al.
Published: (2026)
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models
by: Jin, Haibo, et al.
Published: (2025)
by: Jin, Haibo, et al.
Published: (2025)
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
by: Liu, Haoyang, et al.
Published: (2024)
by: Liu, Haoyang, et al.
Published: (2024)
Dataset Distillation via Committee Voting
by: Cui, Jiacheng, et al.
Published: (2025)
by: Cui, Jiacheng, et al.
Published: (2025)
Towards Principled Dataset Distillation: A Spectral Distribution Perspective
by: Wu, Ruixi, et al.
Published: (2026)
by: Wu, Ruixi, 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)
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
by: Zhou, Andy, et al.
Published: (2023)
by: Zhou, Andy, et al.
Published: (2023)
Short-Time Fourier Transform for deblurring Variational Autoencoders
by: Dalal, Vibhu
Published: (2024)
by: Dalal, Vibhu
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)
FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
by: Ma, Hongxu, et al.
Published: (2026)
by: Ma, Hongxu, et al.
Published: (2026)
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
by: Lv, Jiaming, et al.
Published: (2024)
by: Lv, Jiaming, 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)
Decoupled Audio-Visual Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
Hyperbolic Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection
by: Liu, Dingning, et al.
Published: (2025)
by: Liu, Dingning, et al.
Published: (2025)
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
by: Xing, Shuo, et al.
Published: (2025)
by: Xing, Shuo, et al.
Published: (2025)
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
by: He, Jingrui, et al.
Published: (2025)
by: He, Jingrui, et al.
Published: (2025)
Generative Dataset Distillation Based on Self-knowledge Distillation
by: Li, Longzhen, et al.
Published: (2025)
by: Li, Longzhen, et al.
Published: (2025)
GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
by: Li, Xuhui, et al.
Published: (2025)
by: Li, Xuhui, et al.
Published: (2025)
SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models
by: Fang, Hengyu, et al.
Published: (2025)
by: Fang, Hengyu, et al.
Published: (2025)
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Robust MLLM Unlearning via Visual Knowledge Distillation
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition
by: Xing, Wenpeng, et al.
Published: (2025)
by: Xing, Wenpeng, et al.
Published: (2025)
Label-Augmented Dataset Distillation
by: Kang, Seoungyoon, et al.
Published: (2024)
by: Kang, Seoungyoon, et al.
Published: (2024)
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
by: Li, Muquan, et al.
Published: (2024)
by: Li, Muquan, et al.
Published: (2024)
Rethinking Metrics and Benchmarks of Video Anomaly Detection
by: Liu, Zihao, et al.
Published: (2025)
by: Liu, Zihao, et al.
Published: (2025)
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
by: Zheng, Wenjie, et al.
Published: (2026)
by: Zheng, Wenjie, et al.
Published: (2026)
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
by: Liu, Haoyang, et al.
Published: (2025)
by: Liu, Haoyang, et al.
Published: (2025)
Mitigating Bias in Dataset Distillation
by: Cui, Justin, et al.
Published: (2024)
by: Cui, Justin, et al.
Published: (2024)
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
by: Wang, Cuipeng, et al.
Published: (2025)
by: Wang, Cuipeng, et al.
Published: (2025)
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)
Unified Multimodal Understanding via Byte-Pair Visual Encoding
by: Zhang, Wanpeng, et al.
Published: (2025)
by: Zhang, Wanpeng, et al.
Published: (2025)
Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization
by: Alahmadi, Muhammad J., et al.
Published: (2026)
by: Alahmadi, Muhammad J., et al.
Published: (2026)
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation
by: Hu, Youbing, et al.
Published: (2025)
by: Hu, Youbing, et al.
Published: (2025)
Towards Understanding Adversarial Transferability in Federated Learning
by: Li, Yijiang, et al.
Published: (2023)
by: Li, Yijiang, et al.
Published: (2023)
DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention
by: Chen, Haohan, et al.
Published: (2025)
by: Chen, Haohan, et al.
Published: (2025)
Similar Items
-
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024) -
Simple Unsupervised Knowledge Distillation With Space Similarity
by: Singh, Aditya, et al.
Published: (2024) -
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
by: Leng, Jixuan, et al.
Published: (2023) -
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
by: Zheng, Runkai, et al.
Published: (2025) -
Beyond Dataset Distillation: Lossless Dataset Concentration via Diffusion-Assisted Distribution Alignment
by: Liu, Tongfei, et al.
Published: (2026)