Regularization

Elastic Weight Consolidation Done Right for Continual Learning CVPR 2026 Exemplar-Free Continual Learning for State Space Models CVPR 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 Stable Mean Flow: Lyapunov-Inspired One-Step Flow Matching CVPR 2026 Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 Cauchy-Schwarz Regularizers ICLR 2025 Drop Dropout on Single Epoch Language Model Pretraining ACL 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Orthogonal projection-based regularization for efficient model augmentation L4DC 2025 Robust System Identification: Finite-sample Guarantees and Connection to Regularization ICLR 2025 ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Training Deep Neural Networks with Virtual Smoothing Classes AAAI 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SemEval 2025 Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks CVPR 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching UAI 2024 Decoupling regularization from the action space ICLR 2024 Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024