Image de couverture de livre

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhong, Wenliang, Tang, Haoyu, Zheng, Qinghai, Xu, Mingzhu, Hu, Yupeng, Nie, Liqiang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dual Convexified Convolutional Neural Networks
par: Bai, Site, et autres
Publié: (2022)

Convexified Message-Passing Graph Neural Networks
par: Cohen, Saar, et autres
Publié: (2025)

Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories
par: Alpay, Faruk
Publié: (2025)

Towards Mitigating Architecture Overfitting on Distilled Datasets
par: Zhong, Xuyang, et autres
Publié: (2023)

Optimizing Few-Step Generation with Adaptive Matching Distillation
par: Bai, Lichen, et autres
Publié: (2026)

Path-Guided Flow Matching for Dataset Distillation
par: Li, Xuhui, et autres
Publié: (2026)

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
par: Lee, Yongmin, et autres
Publié: (2024)

Towards Trustworthy Dataset Distillation
par: Ma, Shijie, et autres
Publié: (2023)

Finding Stable Subnetworks at Initialization with Dataset Distillation
par: McDermott, Luke, et autres
Publié: (2025)

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
par: Lin, Mingfeng, et autres
Publié: (2026)

DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
par: Pal, Shraman, et autres
Publié: (2026)

Privacy-Preserving Federated Learning via Dataset Distillation
par: Xu, ShiMao, et autres
Publié: (2024)

Resource-Efficient Gesture Recognition through Convexified Attention
par: Schwartz, Daniel, et autres
Publié: (2026)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
par: Gao, Boyan, et autres
Publié: (2025)

Towards Principled Learning for Re-ranking in Recommender Systems
par: Li, Qunwei, et autres
Publié: (2025)

Open Multimodal Retrieval-Augmented Factual Image Generation
par: Tian, Yang, et autres
Publié: (2025)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
par: Li, Junfan, et autres
Publié: (2025)

Towards Scalable and Structured Spatiotemporal Forecasting
par: Chen, Hongyi, et autres
Publié: (2025)

DataDAM: Efficient Dataset Distillation with Attention Matching
par: Sajedi, Ahmad, et autres
Publié: (2023)

Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
par: Deng, Qiyan, et autres
Publié: (2025)

Graph Distillation with Eigenbasis Matching
par: Liu, Yang, et autres
Publié: (2023)

Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
par: Joshi, Siddharth, et autres
Publié: (2024)

Dataset Distillation for Offline Reinforcement Learning
par: Light, Jonathan, et autres
Publié: (2024)

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging
par: Gao, Weiguo, et autres
Publié: (2025)

Preview-based Category Contrastive Learning for Knowledge Distillation
par: Ding, Muhe, et autres
Publié: (2024)

Transition Matching Distillation for Fast Video Generation
par: Nie, Weili, et autres
Publié: (2026)

Score Distillation of Flow Matching Models
par: Zhou, Mingyuan, et autres
Publié: (2025)

Knowledge Distillation Based on Transformed Teacher Matching
par: Zheng, Kaixiang, et autres
Publié: (2024)

Improve Cross-Architecture Generalization on Dataset Distillation
par: Zhou, Binglin, et autres
Publié: (2024)

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
par: Monsefi, Amin Karimi, et autres
Publié: (2026)

TrajSyn: Privacy-Preserving Dataset Distillation from Federated Model Trajectories for Server-Side Adversarial Training
par: Gupta, Mukur, et autres
Publié: (2025)

Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
par: Liu, Jing, et autres
Publié: (2026)

Towards Interpretable and Efficient Feature Selection in Trajectory Datasets: A Taxonomic Approach
par: Samarasinghage, Chanuka Don, et autres
Publié: (2025)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
par: Xiang, Qianlong, et autres
Publié: (2024)

Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws
par: Luo, Zhengquan, et autres
Publié: (2025)

Match Made with Matrix Completion: Efficient Learning under Matching Interference
par: Tang, Zhiyuan, et autres
Publié: (2026)

What is Dataset Distillation Learning?
par: Yang, William, et autres
Publié: (2024)

Distilling Long-tailed Datasets
par: Zhao, Zhenghao, et autres
Publié: (2024)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization
par: Xue, Eric, et autres
Publié: (2024)

GSTAM: Efficient Graph Distillation with Structural Attention-Matching
par: Rasti-Meymandi, Arash, et autres
Publié: (2024)