L-SR1 is a learned second-order optimizer whose rank-one preconditioner is trained with a secant penalty, and it outperforms LGD on 3DPW human mesh recovery while using a smaller model.
Qn-mixer: A quasi-newton mlp-mixer model for sparse- view ct reconstruction
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L-SR1: Learned Symmetric-Rank-One Preconditioning
L-SR1 is a learned second-order optimizer whose rank-one preconditioner is trained with a secant penalty, and it outperforms LGD on 3DPW human mesh recovery while using a smaller model.