Machine Unlearning on ImageNet 1K (ToW Metrics) benchmark leaderboard · SOTA2 Research

Machine Unlearning on ImageNet 1K (ToW Metrics)

78.975Time-over-Weight (High)NegGrad + ASAM 1.0

Evaluation Results

Method	Links
NegGrad + ASAM 1.02025.06		78.975	83.358	91.843	84.725
NegGrad + ASAM 1.02025.06		78.966	83.389	92.174	84.843
NegGrad2025.06		78.764	84.199	88.515	83.826
NegGrad + ASAM 0.12025.06		78.762	84.267	90.579	84.536
NegGrad2025.06		78.522	83.929	89.947	84.133
NegGrad + ASAM 0.12025.06		78.52	84.113	89.188	83.94
NegGrad2025.06		78.426	83.93	86.651	83.002
NegGrad + ASAM 0.12025.06		78.366	84.07	89.098	83.845
NegGrad + SAM 0.12025.06		78.301	83.04	91.722	84.354
NegGrad + ASAM 0.12025.06		78.083	84.062	89.973	84.039
NegGrad2025.06		78.03	84.176	88.839	83.682
NegGrad + ASAM 1.02025.06		78.027	83.326	92.772	84.708
NegGrad + SAM 0.12025.06		77.898	82.985	92.841	84.575
NegGrad + ASAM 1.02025.06		77.762	83.284	92.617	84.554
NegGrad + SAM 0.12025.06		77.388	82.473	93.429	84.43
NegGrad + SAM 0.12025.06		76.807	82.587	92.829	84.074
RL + ASAM 1.02025.06		75.221	85.473	90.425	83.707
RL + ASAM 1.02025.06		74.951	85.581	91.069	83.867
RL2025.06		74.857	86.462	86.192	82.504
RL2025.06		74.598	86.617	86.714	82.643
RL2025.06		74.317	86.813	87.63	82.92
RL2025.06		74.055	86.715	88.594	83.121
RL + ASAM 1.02025.06		73.95	85.393	91.516	83.62
RL + ASAM 1.02025.06		73.579	85.494	91.74	83.604
SalUn + ASAM 1.02025.06		46.938	71.268	95.224	71.143
SalUn + ASAM 1.02025.06		46.358	72.034	95.791	71.394
SalUn2025.06		46.104	71.735	94.652	70.83
SalUn2025.06		46.006	72.419	95.218	71.214
SalUn + ASAM 1.02025.06		45.998	71.554	95.628	71.06
SalUn + ASAM 1.02025.06		45.856	71.695	95.924	71.158
SalUn2025.06		45.814	72.308	95.116	71.079
SalUn2025.06		44.981	71.839	95.008	70.609