ML Research Wiki / Benchmarks / Interpretable Machine Learning / CUB-200-2011

CUB-200-2011

Interpretable Machine Learning Benchmark

Performance Over Time

📊 Showing 2 results | 📏 Metric: Top 1 Accuracy

Click "Edit" next to any result to modify it, or add a new result at the bottom. All changes will be reviewed before going live.

Yellow rows = Pending edits Green rows = Pending new results

Model	Paper	Top 1 Accuracy	Date	Actions
Q-SENN	Q-SENN: Quantized Self-Explaining Neural Networks	85.90	2023-12-21
SLDD-Model	Take 5: Interpretable Image Classification with a…	85.70	2023-03-23

Rank	Model	Paper	Top 1 Accuracy	Date	Code
1	Q-SENN	Q-SENN: Quantized Self-Explaining Neural Networks	85.90	2023-12-21	📦 thomasnorr/q-senn
2	SLDD-Model	Take 5: Interpretable Image Classification with a Handful of Features	85.70	2023-03-23	📦 ThomasNorr/QPM 📦 thomasnorr/q-senn

2023

Q-SENN

thomasnorr/q-senn

2023

SLDD-Model

ThomasNorr/QPM thomasnorr/q-senn