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Normalization

341 directly classified papers

Papers per year

Papers

On Biasing Transformer Attention Towards Monotonicity NAACL 2021
High-Performance Large-Scale Image Recognition Without Normalization ICML 2021
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections ICML 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
Dropout: Explicit Forms and Capacity Control ICML 2021
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning IJCAI 2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization ICCV 2021
Gradient Normalization for Generative Adversarial Networks ICCV 2021
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer ICCV 2021
ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity ICCV 2021
CrossNorm and SelfNorm for Generalization Under Distribution Shifts ICCV 2021
Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection ICCV 2021
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation INTERSPEECH 2021
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory AAAI 2021
Sparsity Aware Normalization for GANs AAAI 2021
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021
Metadata Normalization CVPR 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Fast Certified Robust Training with Short Warmup NIPS 2021
Soft Calibration Objectives for Neural Networks NIPS 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay NIPS 2021
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning NIPS 2021