Multi-Task Learning on UTKFace (test) benchmark leaderboard · SOTA2 Research

Multi-Task Learning on UTKFace (test)

0.135Age MAEBayesAgg-MTL

Evaluation Results

Method	Links
BayesAgg-MTL2024.02		0.135	93.01	84.25	2.23
MGDA2024.02		0.138	93.29	83.51	-1.39
STL2024.02		0.14	92.32	82.42	—
CAGrad2024.02		0.14	93.06	83.28	-0.58
IMTL-G2024.02		0.141	93.1	83.78	-0.5
SI2024.02		0.142	93.05	83.4	0.11
Nash-MTL2024.02		0.142	92.89	83.19	-0.17
IGBv22024.02		0.142	93.09	83.34	-0.21
UW2024.02		0.143	92.99	83.09	0.15
RLW2024.02		0.144	92.89	83.7	-0.31
DWA2024.02		0.144	92.9	83.55	0.35
Aligned-MTL-UB2024.02		0.145	93	83.36	0.66
LS2024.02		0.146	92.92	83.98	0.69
PCGrad2024.02		0.147	92.92	83.28	1.13