MoASE++ combines activation sparsity experts with domain-adaptive on-policy distillation to achieve state-of-the-art continual test-time adaptation on image classification and segmentation benchmarks.
Sparse reram engine: Joint exploration of JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 16 activation and weight sparsity in compressed neural networks,
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MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation
MoASE++ combines activation sparsity experts with domain-adaptive on-policy distillation to achieve state-of-the-art continual test-time adaptation on image classification and segmentation benchmarks.