#invariance — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #invariance, aggregated by home.social.
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Interpolation Can Provably Preclude Invariance https://arxiv.org/abs/2211.15724
#Overfitting to the point of #interpolation can hinder invariance-inducing objectives: One cannot assume a #DeepLearninig model with an invariance penalty will indeed achieve any form of #invariance… suggests that “benign overfitting,” in which models generalize well despite interpolating, might not favorably extend to settings in which #robustness or #fairness are desirable. -
Interpolation Can Provably Preclude Invariance https://arxiv.org/abs/2211.15724
#Overfitting to the point of #interpolation can hinder invariance-inducing objectives: One cannot assume a #DeepLearninig model with an invariance penalty will indeed achieve any form of #invariance… suggests that “benign overfitting,” in which models generalize well despite interpolating, might not favorably extend to settings in which #robustness or #fairness are desirable. -
Interpolation Can Provably Preclude Invariance https://arxiv.org/abs/2211.15724
#Overfitting to the point of #interpolation can hinder invariance-inducing objectives: One cannot assume a #DeepLearninig model with an invariance penalty will indeed achieve any form of #invariance… suggests that “benign overfitting,” in which models generalize well despite interpolating, might not favorably extend to settings in which #robustness or #fairness are desirable. -
Interpolation Can Provably Preclude Invariance https://arxiv.org/abs/2211.15724
#Overfitting to the point of #interpolation can hinder invariance-inducing objectives: One cannot assume a #DeepLearninig model with an invariance penalty will indeed achieve any form of #invariance… suggests that “benign overfitting,” in which models generalize well despite interpolating, might not favorably extend to settings in which #robustness or #fairness are desirable. -
Interpolation Can Provably Preclude Invariance https://arxiv.org/abs/2211.15724
#Overfitting to the point of #interpolation can hinder invariance-inducing objectives: One cannot assume a #DeepLearninig model with an invariance penalty will indeed achieve any form of #invariance… suggests that “benign overfitting,” in which models generalize well despite interpolating, might not favorably extend to settings in which #robustness or #fairness are desirable.
