Normalization

Random Smooth-based Certified Defense against Text Adversarial Attack EACL 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024 Scalable Optimization in the Modular Norm NeurIPS 2024 Single Domain Generalization via Normalised Cross-Correlation Based Convolutions WACV 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks ICLR 2024 The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections IJCAI 2024 The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024 Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ICLR 2024 Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation ICLR 2024 Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 Visual Prompt Tuning in Null Space for Continual Learning NeurIPS 2024 Weight-Sharing Regularization AISTATS 2024 Are GATs Out of Balance? NeurIPS 2023 A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks UAI 2023 A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks IJCAI 2023 A Unified Algebraic Perspective on Lipschitz Neural Networks ICLR 2023 Backforward Propagation (Student Abstract) AAAI 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 Beyond probability partitions: Calibrating neural networks with semantic aware grouping NeurIPS 2023 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond ICLR 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023