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GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning

CVPR 2018 · Graph learning › Knowledge and temporal graphs · approach: Heterogeneous graph learning · 38 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add bitwise interaction mining to GraphBit (ablation)GraphBit · CIFAR-10, 16 bitsmAP (%): 27.95 -> 32.15Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · CIFAR-10, 32 bitsmAP (%): 32.77 -> 36.74Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · CIFAR-10, 64 bitsmAP (%): 36.16 -> 39.90Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · Brown, average across six train/test combinations95% error rate (ERR): 32.83 -> 29.75Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · HPatches, verificationmAP (%): 62.32 -> 65.19Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · HPatches, matchingmAP (%): 13.42 -> 14.22Helped
add bitwise interaction mining to GraphBit (ablation)GraphBit · HPatches, retrievalmAP (%): 21.45 -> 25.19Helped
add J2 mutual-information objective to J1 (ablation)GraphBit with independent bits · CIFAR-10, 16 bitsmAP (%): 21.45 -> 27.95Helped
add J2 mutual-information objective to J1 (ablation)GraphBit with interacted bits · CIFAR-10, 16 bitsmAP (%): 26.20 -> 30.43Helped
add J3 to J1 + J2 (ablation)GraphBit with interacted bits · CIFAR-10, 16 bitsmAP (%): 30.43 -> 32.15Helped
replace DBD-MQ with GraphBitunsupervised binary descriptors · CIFAR-10, 16 bitsmAP (%): 21.53 -> 32.15Helped
replace DBD-MQ with GraphBitunsupervised binary descriptors · CIFAR-10, 32 bitsmAP (%): 26.50 -> 36.74Helped

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