Machine Unlearning on Industrial & Scientific
20.3Unlearning Time (minutes)TRACER
Evaluation Results
| Method | Links | |
|---|---|---|
| TRACERBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 20.3 | |
| TRACERBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 26.7 | |
| ELMBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 26.8 | |
| PISCESBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 31.7 | |
| REPNoiseBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 33.1 | |
| ELMBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 35.2 | |
| BLURBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 36.2 | |
| FLATBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 39.4 | |
| PISCESBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 41.6 | |
| REPNoiseBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 43.5 | |
| BLURBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 47.5 | |
| FLATBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 51.2 | |
| RMUBackbone=LETTER, Hardware=4x A100 GPUs2026.06 | 51.3 | |
| RMUBackbone=MOR, Hardware=4x A100 GPUs2026.06 | 67.5 |