Revisiting Knowledge Distillation via Label Smoothing Regularization 보호되어 있는 글입니다. Knowledge Distillation 2023.12.10
REGULARIZING DEEP MULTI-TASK NETWORKS USING ORTHOGONAL GRADIENTS 보호되어 있는 글입니다. Multi task learning 2023.12.07
Rethinking Few-shot Image Classification: A Good Embedding is All You Need? 보호되어 있는 글입니다. Meta learning 2023.12.04
Meta-AdaM: A Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning 보호되어 있는 글입니다. Meta learning 2023.11.22
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning 보호되어 있는 글입니다. Deep Learning 2023.11.21
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning 보호되어 있는 글입니다. Federated Learning 2023.11.20