Dataset Groups Activity Stream Population Based Augmentation A key challenge in leveraging data augmentation for neural network training is choosing an effective augmentation policy from a large search space of candidate operations. BibTex: @dataset{Daniel_Ho_and_Eric_Liang_and_Ion_Stoica_and_Pieter_Abbeel_and_Xi_Chen_2024, abstract = {A key challenge in leveraging data augmentation for neural network training is choosing an effective augmentation policy from a large search space of candidate operations.}, author = {Daniel Ho and Eric Liang and Ion Stoica and Pieter Abbeel and Xi Chen}, doi = {10.57702/qd9x7s2m}, institution = {No Organization}, keyword = {'CIFAR-10', 'CIFAR-100', 'Data Augmentation', 'Neural Networks', 'SVHN'}, month = {dec}, publisher = {TIB}, title = {Population Based Augmentation}, url = {https://service.tib.eu/ldmservice/dataset/population-based-augmentation}, year = {2024} }
