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05/23/2023
On the Size and Approximation Error of Distilled Sets
Dataset Distillation is the task of synthesizing small datasets from lar...
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02/13/2023
Dataset Distillation with Convexified Implicit Gradients
We propose a new dataset distillation algorithm using reparameterization...
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02/02/2023
Dataset Distillation Fixes Dataset Reconstruction Attacks
Modern deep learning requires large volumes of data, which could contain...
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10/21/2022
Efficient Dataset Distillation Using Random Feature Approximation
Dataset distillation compresses large datasets into smaller synthetic co...
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10/21/2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Two key challenges facing modern deep learning are mitigating deep netwo...
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11/24/2020
