Jinbin Zhang
1 indexed paper
Recent (6 mo)
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126
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ML×1AI×1
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2026
HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
HASTE introduces group-shared fixed fan-in sparsity for multi-label classification, achieving significant wall-clock speedups (up to 25x in backward pass) by enabling efficient GPU execution while maintaining high accuracy.
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