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Regularization on augmented data to diversify sparse representation for robust image classification
Image classification is a fundamental component in modern computer vision systems, where
sparse representation-based classification has drawn a lot of attention due to its robustness …
sparse representation-based classification has drawn a lot of attention due to its robustness …
Doubly stochastic models: Learning with unbiased label noises and inference stability
Random label noises (or observational noises) widely exist in practical machine learning
settings. While previous studies primarily focus on the affects of label noises to the …
settings. While previous studies primarily focus on the affects of label noises to the …
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer
Random label noise (or observational noise) widely exists in practical machine learning
settings. While previous studies primarily focused on the effects of label noise to the …
settings. While previous studies primarily focused on the effects of label noise to the …
Implicit regularization effects of unbiased random label noises with SGD
Random label noises (or observational noises) widely exist in practical machinelearning
settings. we analyze the learning dynamics of stochastic gradient descent (SGD) over the …
settings. we analyze the learning dynamics of stochastic gradient descent (SGD) over the …