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Normalization

341 directly classified papers

Papers per year

Papers

Scalable Optimization in the Modular Norm NIPS 2024
Weight-Sharing Regularization AISTATS 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
BranchNorm: Robustly Scaling Extremely Deep Transformers ACL 2024
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition NIPS 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 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 NIPS 2024
Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024
BiPer: Binary Neural Networks using a Periodic Function CVPR 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NIPS 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks NIPS 2024
MCA: Moment Channel Attention Networks AAAI 2024
Towards Calibrated Multi-label Deep Neural Networks CVPR 2024
The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024
Improving Neural ODE Training with Temporal Adaptive Batch Normalization NIPS 2024
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks AAAI 2024
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks CVPR 2024
The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections IJCAI 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024
Improving Normalization With the James-Stein Estimator WACV 2024