Noel Loo | DeepAI

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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...

0 Alaa Maalouf, et al. ∙

∙ 02/13/2023

Dataset Distillation with Convexified Implicit Gradients

We propose a new dataset distillation algorithm using reparameterization...

0 Noel Loo, et al. ∙

∙ 02/02/2023

Dataset Distillation Fixes Dataset Reconstruction Attacks

Modern deep learning requires large volumes of data, which could contain...

0 Noel Loo, et al. ∙

∙ 10/21/2022

Efficient Dataset Distillation Using Random Feature Approximation

Dataset distillation compresses large datasets into smaller synthetic co...

0 Noel Loo, et al. ∙

∙ 10/21/2022

Evolution of Neural Tangent Kernels under Benign and Adversarial Training

Two key challenges facing modern deep learning are mitigating deep netwo...

0 Noel Loo, et al. ∙

∙ 11/24/2020

Generalized Variational Continual Learning

Continual learning deals with training models on new tasks and datasets ...

7 Noel Loo, et al. ∙

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