normalization layer

AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation CVPR 2026 I0T: Embedding Standardization Method Towards Zero Modality Gap ACL 2025 ReGLA: Refining Gated Linear Attention NAACL 2025 Transformers without Normalization CVPR 2025 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024 Fast Equilibrium of SGD in Generic Situations ICLR 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024 Normalization and effective learning rates in reinforcement learning NeurIPS 2024 Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024 Simplifying Transformer Blocks ICLR 2024 Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation ICLR 2024 Can CNNs Be More Robust Than Transformers? ICLR 2023 Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NeurIPS 2023 Normalization Layers Are All That Sharpness-Aware Minimization Needs NeurIPS 2023 REPAIR: REnormalizing Permuted Activations for Interpolation Repair ICLR 2023 Trapdoor Normalization with Irreversible Ownership Verification ICML 2023 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets ICML 2022 Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction NeurIPS 2022 Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021 Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks NeurIPS 2021 Evolving Normalization-Activation Layers NeurIPS 2020 Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks CVPR 2020 Is normalization indispensable for training deep neural network? NeurIPS 2020