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MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

ICML 2018 · Label-efficient and robust learning › Zero-/few-shot and meta-learning · approach: Robust fine-tuning of zero-shot models · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use the dense estimator β, which captures weak signals in addition to strong signals (ablation)MSplit LBI · Simulation (σ=0.2, 0.4, 0.6, 0.8)relative estimation error: 0.1463 ± 0.0241 -> 0.1238 ± 0.0112; 0.1714 ± 0.0255 -> 0.1312 ± 0.0117; 0.2016 ± 0.0206 -> 0.1461 ± 0.0120; 0.2421 ± 0.0Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · AwAaccuracy (%): 84.58 -> 85.34Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · CUBaccuracy (%): 56.62 -> 57.52Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · ImageNet Top-1accuracy (%): 7.98 -> 8.35Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · ImageNet Top-5accuracy (%): 17.83 -> 18.76Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · Omniglot 5-way 1-shotaccuracy (%): 94.7 -> 94.8No clear effect
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · Omniglot 5-way 5-shotaccuracy (%): 98.9 -> 99.2Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · Omniglot 20-way 1-shotaccuracy (%): 83.7 -> 83.7No clear effect
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · Omniglot 20-way 5-shotaccuracy (%): 97.3 -> 97.6Helped
use the dense estimator β instead of sparse estimator β̃ (ablation)MSplit LBI · SUN 5-way 1-shotaccuracy (%): 59.32 -> 61.47Helped
fine-tune the pretrained feature model (ablation)C-Siam · Omniglotaccuracy (%): 96.7 -> 97.3; 98.4 -> 98.4; 88.0 -> 88.1; 96.5 -> 97.0Mixed
fine-tune the pretrained feature model (ablation)M-Net · Omniglotaccuracy (%): 98.1 -> 97.9; 98.9 -> 98.7; 93.8 -> 93.5; 98.5 -> 98.7Mixed

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