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Re-Thinking the Effectiveness of Batch Normalization and Beyond

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01261-8_1openalex-snapshot
Group Normalization
inferredcites →https://doi.org/10.1007/978-3-030-58536-5_23openalex-snapshot
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
inferredcites →https://doi.org/10.1016/j.patcog.2018.03.005openalex-snapshot
Adaptive Batch Normalization for practical domain adaptation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00089openalex-snapshot
Decorrelated Batch Normalization
inferredcites →https://doi.org/10.1109/cvpr.2018.00647openalex-snapshot
MegDet: A Large Mini-Batch Object Detector
inferredcites →https://doi.org/10.1109/cvpr.2019.00500openalex-snapshot
Instance-Level Meta Normalization
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00856openalex-snapshot
Representative Batch Normalization with Feature Calibration
inferredcites →https://doi.org/10.1609/aaai.v32i1.11717openalex-snapshot
Double Forward Propagation for Memorized Batch Normalization
inferredcites →https://doi.org/10.1609/aaai.v34i04.5917openalex-snapshot
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise
inferredcites →https://doi.org/10.48550/arxiv.1212.5701openalex-snapshot
ADADELTA: An Adaptive Learning Rate Method
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1607.08022openalex-snapshot
Instance Normalization: The Missing Ingredient for Fast Stylization
inferredcites →https://doi.org/10.48550/arxiv.1802.05957openalex-snapshot
Spectral Normalization for Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1812.03981openalex-snapshot
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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