Research map / Label-efficient and robust learning / Recognition and long-tail
Uncorrelated Group LASSO
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · Trevid | Mic-F1: 40.93 -> 43.19 | Helped |
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · MSRCv2 | Mac-F1: 59.17 -> 62.19 | Helped |
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · MSRCv2 | Mic-F1: 52.15 -> 55.31 | Helped |
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · Barcelona | Mac-F1: 70.23 -> 74.47 | Helped |
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · Barcelona | Mic-F1: 67.91 -> 71.89 | Helped |
| replace l2,1 with exclusive group l2,1 regularizer | l2,1 feature learning · Synthetic example r=4 | feature selection error (lower better): 0.4956 -> 0.4259 | Helped |
| exclusive group l2,1 vs MLSI | l2,1 feature learning · MSRCv2 | Mac-F1: 52.18 -> 62.19 | Helped |
| exclusive group l2,1 vs other methods | l2,1 feature learning · Barcelona | Mac-P: 76.43 -> 81.32 | Helped |
| exclusive group l2,1 vs ReliefF | l2,1 feature learning · Barcelona | Mic-F1: 71.27 -> 71.89 | No clear effect |
| exclusive group l2,1 vs l2,1 across three datasets | l2,1 feature learning · Barcelona/MSRC/Trevid | feature selection error (Fig. 2) | Helped |
Closest papers by meaning
- Combined Group and Exclusive Sparsity for Deep Neural Networks (ICML 2017 · similarity 0.89)
- GAP Safe Screening Rules for Sparse-Group Lasso (NeurIPS 2016 · similarity 0.86)
- Fast Sparse Group Lasso (NeurIPS 2019 · similarity 0.86)
- Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity (ICML 2017 · similarity 0.85)
- Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant (ICML 2025 · similarity 0.85)
- Transformer Learns Optimal Variable Selection in Group-Sparse Classification (ICLR 2025 · similarity 0.84)
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