Adaptive λ adjustment for target sparsity in LinBreg and AdaBreg, shown to work on speaker verification models with ECAPA-TDNN and ResNet34.
Estimating the carbon footprint of BLOOM, a 176b parameter language model.JMLR, 24(253):1–15
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Adaptive Regularization for Sparsity Control in Bregman-Based Optimizers
Adaptive λ adjustment for target sparsity in LinBreg and AdaBreg, shown to work on speaker verification models with ECAPA-TDNN and ResNet34.