Sparsify reports state-of-the-art accuracy on Music AVQA benchmarks by borrowing three existing sparsification techniques, cutting training time by 28% and retaining 70-80% of accuracy on a 25% data subset.
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Learning Sparsity for Effective and Efficient Music Performance Question Answering
Sparsify reports state-of-the-art accuracy on Music AVQA benchmarks by borrowing three existing sparsification techniques, cutting training time by 28% and retaining 70-80% of accuracy on a 25% data subset.