ICML 2024 "training acceleration" Papers

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Diversified Batch Selection for Training Acceleration

Feng Hong, Yueming LYU, Jiangchao Yao et al.

ICML 2024posterarXiv:2406.04872

How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective

Keyan Miao, Konstantinos Gatsis

ICML 2024oral

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

Zhengyang Zhuge, Peisong Wang, Xingting Yao et al.

ICML 2024poster