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cs.LG2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
Lirui Zhao, Yuxin Zhang, Fei Chao +1
The poor cross-architecture generalization of dataset distillation greatly weakens its practical significance. This paper attempts to mitigate this issue through an empirical study…
cs.LG2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
Zihan Xu, Mingbao Lin, Jianzhuang Liu +5
Binary neural networks (BNNs) have received increasing attention due to their superior reductions of computation and memory. Most existing works focus on either lessening the quant…