Normalization
434 papers
Papers per year
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1
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5
18
30
47
58
73
47
61
55
28
8
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Papers
On Separate Normalization in Self-supervised Transformers
NeurIPS 2023
On skip connections and normalisation layers in deep optimisation
NeurIPS 2023
On the Expressivity Role of LayerNorm in Transformers’ Attention
ACL 2023
On the impact of activation and normalization in obtaining isometric embeddings at initialization
NeurIPS 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
NeurIPS 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
NeurIPS 2023
RegBN: Batch Normalization of Multimodal Data with Regularization
NeurIPS 2023
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
ICLR 2023
Revisiting Structured Dropout
ACML 2023
Robust Feature Decoupling in Voice Conversion by Using Locality-Based Instance Normalization
Interspeech 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
ICML 2023
SEAT: Stable and Explainable Attention
AAAI 2023
Selective Frequency Network for Image Restoration
ICLR 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations
NeurIPS 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
ICLR 2023
Tanh Works Better with Asymmetry
NeurIPS 2023
The Crucial Role of Normalization in Sharpness-Aware Minimization
NeurIPS 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
COLT 2023
Towards Efficient and Accurate Winograd Convolution via Full Quantization
NeurIPS 2023
Towards Robust Object Detection Invariant to Real-World Domain Shifts
ICLR 2023
Transition-constant Normalization for Image Enhancement
NeurIPS 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
ICLR 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
CVPR 2023