SOTAVerified

Dataset Distillation

Dataset distillation is the task of synthesizing a small dataset such that models trained on it achieve high performance on the original large dataset. A dataset distillation algorithm takes as input a large real dataset to be distilled (training set), and outputs a small synthetic distilled dataset, which is evaluated via testing models trained on this distilled dataset on a separate real dataset (validation/test set). A good small distilled dataset is not only useful in dataset understanding, but has various applications (e.g., continual learning, privacy, neural architecture search, etc.).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 216 papers

TitleStatusHype
Video Dataset Condensation with Diffusion Models—0
Video Set Distillation: Information Diversification and Temporal Densification—0
FairDD: Fair Dataset Distillation via Synchronized Matching—0
Federated Virtual Learning on Heterogeneous Data with Local-global Distillation—0
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks—0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
Few-Shot Dataset Distillation via Translative Pre-Training—0
Finding Stable Subnetworks at Initialization with Dataset Distillation—0
Privacy-Preserving Federated Learning via Dataset Distillation—0
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation—0
FYI: Flip Your Images for Dataset Distillation—0
Generative Dataset Distillation: Balancing Global Structure and Local Details—0
Generative Dataset Distillation Based on Self-knowledge Distillation—0
Generative Dataset Distillation using Min-Max Diffusion Model—0
Heavy Labels Out! Dataset Distillation with Label Space Lightening—0
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation—0
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation—0
Hyperbolic Dataset Distillation—0
Image Dataset Compression Based on Matrix Product States—0
Importance-Aware Adaptive Dataset Distillation—0
Information-Guided Diffusion Sampling for Dataset Distillation—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training—0
Label-Augmented Dataset Distillation—0
Latent Dataset Distillation with Diffusion Models—0
Show:102550
← PrevPage 7 of 9Next →

No leaderboard results yet.