L1-Non-negative Matrix Factorization on MNIST noisy benchmark leaderboard · SOTA2 Research

L1-Non-negative Matrix Factorization on MNIST noisy

0.428Final Relative Residual (res)sCD

Evaluation Results

Method	Links
sCD2026.03		0.428	29	81	6.2	5.8
CD2026.03		0.437	5	81	6.2	5.8
SUB2026.03		0.448	7	81	6.2	5.8
NS2026.03		0.453	183	81	6.2	5.8
sCD2026.03		0.572	24	79	5.4	4.8
CD2026.03		0.581	5	79	5.4	4.8
SUB2026.03		0.593	6.8	79	5.4	4.8
NS2026.03		0.6	177	79	5.4	4.8
sCD2026.03		0.675	22	76	4.8	4.4
CD2026.03		0.685	5	76	4.8	4.4
SUB2026.03		0.703	7	76	4.8	4.4
NS2026.03		0.71	178	76	4.8	4.4
sCD2026.03		0.75	20	74	4.3	4
CD2026.03		0.76	5	74	4.3	4
SUB2026.03		0.783	6.8	74	4.3	4
NS2026.03		0.789	166	74	4.3	4
sCD2026.03		0.804	19	71	3.9	3.8
CD2026.03		0.813	5	71	3.9	3.8
SUB2026.03		0.837	6.7	71	3.9	3.8
NS2026.03		0.84	176	71	3.9	3.8