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Towards the Memorization Effect of Neural Networks in Adversarial Training

Towards the Memorization Effect of Neural Networks in Adversarial Training

RobustLearning2022adversarialheuristicICLRMemorywow
Does Learning Require Memorization? A Short Tale about a Long Tail

Does Learning Require Memorization? A Short Tale about a Long Tail

RobustLearningDomainAdaption2020ACMMemorytheoreticaltheorywow
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation

What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation

RobustLearningDomainAdaption2020MemoryNIPStheoreticalwowlongtail
Denoising Diffusion Probabilistic Models (DDPM)

Denoising Diffusion Probabilistic Models (DDPM)

AutoEncoder2020NIPSwowprobabilisticdenoisingdiffusiontheoretical
Generative Modeling by Estimating Gradients of the Data Distribution

Generative Modeling by Estimating Gradients of the Data Distribution

AutoEncoderseminal2019denoisingNIPSwowscorematchingLangevindynamicstheoretical
Double Descent in Adversarial Training: An Implicit Label Noise Perspective

Double Descent in Adversarial Training: An Implicit Label Noise Perspective

RobustLearning2022adversarialICLROptimizationseminaltheoreticalwowoverfitting
How Powerful is Graph Convolution for Recommendation?

How Powerful is Graph Convolution for Recommendation?

RepresentationLearniRecommenderSystems2021graphseminalwowtheoreticalCIKM

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