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Normalization

341 directly classified papers

Papers per year

Papers

R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Dynamic Normalization and Relay for Video Action Recognition NIPS 2021
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence NIPS 2021
Revisiting Batch Normalization for Improving Corruption Robustness WACV 2021
Constrained Weight Optimization for Learning Without Activation Normalization WACV 2021
Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions WACV 2021
A Deep Conditioning Treatment of Neural Networks ALT 2021
Machine Unlearning via Algorithmic Stability COLT 2021
An Adaptive X-Vector Model for Text-Independent Speaker Verification INTERSPEECH 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning ICML 2020
On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020
An Investigation Into the Stochasticity of Batch Whitening CVPR 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
Batch normalization provably avoids ranks collapse for randomly initialised deep networks NIPS 2020
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks NIPS 2020
On Convergence and Generalization of Dropout Training NIPS 2020
Passport-aware Normalization for Deep Model Protection NIPS 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020
New Interpretations of Normalization Methods in Deep Learning AAAI 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs CVPR 2020
Attentive Normalization for Conditional Image Generation CVPR 2020
Query-Key Normalization for Transformers EMNLP 2020
Adaptive Convolutional ReLUs AAAI 2020