Saeed Vahidian
9 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (6)
π
Cross-Pollinator
(7)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(26)
β
The Questioner
Conferences
CVPR (2)
ICLR (2)
AAAI (1)
ECCV (1)
ICCV (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
dataset distillation
(2)
diffusion model
(2)
federated learning
(2)
curriculum learning
(1)
coreset selection
(1)
convergence analysis
(1)
minimax optimization
(1)
sensor placement
(1)
singular value decomposition
(1)
generative training
(1)
nonlinear manifold
(1)
spectral analysis
(1)
distribution similarity
(1)
generative model
(1)
spectral method
(1)
data heterogeneity
(1)
generative prior
(1)
data selection
(1)
client selection
(1)
non-iid datum
(1)
Papers
CONCORD: Concept-Informed Diffusion for Dataset Distillation
WACV 2026
Group Distributionally Robust Dataset Distillation with Risk Minimization
ICLR 2025
Efficient Dataset Distillation via Minimax Diffusion
CVPR 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
When Do Curricula Work in Federated Learning?
ICCV 2023
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
AAAI 2023
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
UAI 2020
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
CVPR 2020