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Class Unlearning on CIFAR-10 (Error/Retention Metrics)

97.22Retain Accuracy

Retrain

Updated 22d ago

Evaluation Results

Method	Links
Retrain 2026.05		97.22	-	-	-	-	-	-	0
BiasShift 2026.05		97.21	-	-	-	-	-	-	0
LB-HR 2026.05		97.11	-	-	-	-	-	-	0
TS-BGRM 2026.05		96.7	-	-	-	-	-	-	0
TS-BGRM 2026.05		96.7	-	-	-	-	-	-	0
TS-BGM 2026.05		96.65	-	-	-	-	-	-	0
SCRUB 2026.05		96.58	-	-	-	-	-	-	0
SalUn 2026.05		96.35	-	-	-	-	-	-	0
Original 2026.05		96.2	-	-	-	-	-	-	92.7
BiasShift 2026.05		96.14	-	-	-	-	-	-	0
Random-label 2026.05		96.11	-	-	-	-	-	-	0
SF 2026.05		95.98	-	-	-	-	-	-	0
SF 2026.05		95.98	-	-	-	-	-	-	0
TS-BGM 2026.05		95.96	-	-	-	-	-	-	0
LB-HR 2026.05		95.89	-	-	-	-	-	-	0
Retrain 2026.05		95.67	-	-	-	-	-	-	0
SCRUB 2026.05		95.66	-	-	-	-	-	-	0
NegGrad+ 2026.05		95.62	-	-	-	-	-	-	0
Random-label 2026.05		95.57	-	-	-	-	-	-	0
SalUn 2026.05		95.54	-	-	-	-	-	-	0
Original 2026.05		95.53	-	-	-	-	-	-	93.2
FT 2026.05		93.93	-	-	-	-	-	-	0
FT 2026.05		93.68	-	-	-	-	-	-	0
UNSIR 2026.05		93.27	-	-	-	-	-	-	2.9
NegGrad+ 2026.05		92.17	-	-	-	-	-	-	8.1
UNSIR 2026.05		91.34	-	-	-	-	-	-	13.5
SSD 2026.05		85.24	-	-	-	-	-	-	38.76
SSD 2026.05		76.18	-	-	-	-	-	-	28.26
Retrain 2023.02		-	14.72	0.16	0	0	100	0	-
Original 2023.02		-	16.56	0.1	0	0	0	0	-
Finetune 2023.02		-	16.41	0.09	0	0	0	0	-
Fisher 2023.02		-	26.42	1.41	2.45	0.84	100	0	-
NegGrad+ 2023.02		-	17.84	1.46	1.74	2.55	91.26	7.73	-
CF-k 2023.02		-	15.31	0.12	0	0	0.03	0.01	-
EU-k 2023.02		-	18.73	0.42	0	0	98.79	0.18	-
Bad-T 2023.02		-	19.56	1.44	11.34	1.82	94.67	6.12	-
SCRUB 2023.02		-	15.73	0.17	0.51	0.02	100	0	-