2024 "sparse training" Papers

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Exploring the Benefit of Activation Sparsity in Pre-training

Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin et al.

ICML 2024poster

In value-based deep reinforcement learning, a pruned network is a good network

Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro

ICML 2024poster

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency

Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta et al.

ICML 2024poster

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

Young Kwon, Rui Li, Stylianos Venieris et al.

ICML 2024poster