Normalization

DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering NeurIPS 2024 DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting NeurIPS 2024 DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NeurIPS 2024 EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks AAAI 2024 Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting NeurIPS 2024 Efficient ConvBN Blocks for Transfer Learning and Beyond ICLR 2024 Efficient local linearity regularization to overcome catastrophic overfitting ICLR 2024 Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024 Fast Equilibrium of SGD in Generic Situations ICLR 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NeurIPS 2024 GRANOLA: Adaptive Normalization for Graph Neural Networks NeurIPS 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Image Translation as Diffusion Visual Programmers ICLR 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization NeurIPS 2024 Improving Normalization With the James-Stein Estimator WACV 2024 Lipschitz Singularities in Diffusion Models ICLR 2024 Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems ICLR 2024 MCA: Moment Channel Attention Networks AAAI 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 Online Stabilization of Spiking Neural Networks ICLR 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps ICLR 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024 Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024