Secondly, a capped 2-norm based loss function is used in the feature selection process of each local sub-classification task to eliminate the data outliers, which can alleviate the negative effects outliers and improve the robustness of the learned feature weighted matrix. Finally, an inter-level...
Besides, the traditional SU algorithms often adopt the ℓ2 norm loss function, which makes them sensitive to noises and outliers. In this paper, we propose a robust SU (RSU) method with ℓ2,1 norm loss function, which is robust for noises and outliers. Then, the RSU can be solved ...
Currently, most image quality assessment (IQA) models are supervised by the MAE or MSE loss with empirically slow convergence. It is well-known that normalization can facilitate fast convergence. Therefore, we explore normalization in the design of loss functions for IQA. Specifically, we first nor...
Robust loss function-based feature selection method [28] aims to obtain a projection matrix W∈Rm×c. We use the general formulation(1)minWL(XW−Y)+λR(W), where L(⋅) is the loss function, λ>0 is a penalty coefficient, and R(⋅) is the orthogonal term. The trade-off...
Loss of PRMT2 promotes the expression of genes linked to cytokine signaling and inflammatory pathways in plaque CD68+ cells under normoglycemic conditions To gain insight into why PRMT2-deficient myeloid cells fail to regress atherosclerosis compared to WT cells under nondiabetic conditions, we exam...
softmax_with_loss_op.h softplus_op.cc softplus_op.cu softplus_op.h softsign_op.cc softsign_op.cu softsign_op.h space_batch_op.cc space_batch_op.h space_batch_op_gpu.cu sparse_dropout_with_replacement_op.cc sparse_dropout_with_replacement_op.h sparse_itemwise_dropout_wit...
Reminder I have read the README and searched the existing issues. System Info 我尝试使用longlora的微调方法来微调llm,当我开启S^2 Attention,我发现当我使用精度类型为fp16时,终端总是显示grad_norm为nan,甚至当我使用示例数据“identity.json“微调时,尽管loss
Preoperative normovolaemic acute haemodilution (PNAH) is used to reduce major blood loss during elective surgery. Considerable attention has been paid to c... G Freyburger,M Dubreuil,MR Boisseau,... - 《British Journal of Anaesthesia》 被引量: 88发表: 0年 Acute normovolaemic haemodilution...
softmax_with_loss_op.h softplus_op.cc softplus_op.cu softplus_op.h softsign_op.cc softsign_op.cu softsign_op.h space_batch_op.cc space_batch_op.h space_batch_op_gpu.cu sparse_dropout_with_replacement_op.cc sparse_dropout_with_replacement_op.h sparse_lp_regularizer_op.cc s...
Loss 表面的锐度可视化:通过在模型权重增加扰动对损失函数可视化的结果如下图所示。其中,SAR 相较于 Tent 在最低损失等高线内的区域(深蓝色区域)更大,表明 SAR 获得的解更加平坦,对于噪声 / 较大梯度更加鲁棒,抗干扰能力更强。 图8 熵损失表面可视化