Who Cited It

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2024 · arXiv (Cornell University) · 15,663 citations · 28 from inside this corpus

Sergey Ioffe

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…A Simple Framework for Contrastive Learning of Visual Representations (2020)A Simple Framework for Contra…Continuous control with deep reinforcement learning (2016)Continuous control with deep …Continuous control with deep reinforcement learning (2015)Continuous control with deep …Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…An overview of gradient descent optimization algorithms (2016)An overview of gradient desce…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Neural Architecture Search with Reinforcement Learning (2016)Neural Architecture Search wi…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…A systematic study of the class imbalance problem in convolutional neural networks (2018)A systematic study of the cla…Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…Deep Clustering for Unsupervised Learning of Visual Features (2018)Deep Clustering for Unsupervi…Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Optimization as a Model for Few-Shot Learning (2017)Optimization as a Model for F…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta… (2019)MultiResUNet : Rethinking the…Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) (2015)Fast and Accurate Deep Networ…Barren plateaus in quantum neural network training landscapes (2018)Barren plateaus in quantum ne…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…GAN-based synthetic medical image augmentation for increased CNN performance in liver les… (2018)GAN-based synthetic medical i…Convolutional Sequence to Sequence Learning (2017)Convolutional Sequence to Seq…Generative adversarial network in medical imaging: A review (2019)Generative adversarial networ…On Calibration of Modern Neural Networks (2017)On Calibration of Modern Neur…Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise… (2019)A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer … (2017)A Gift from Knowledge Distill…Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019)Deep Learning Techniques for …DeepGCNs: Can GCNs Go As Deep As CNNs? (2019)DeepGCNs: Can GCNs Go As Deep…LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the … (2015)LSUN: Construction of a Large…
31 of 31 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
On the importance of initialization and momentum in deep learning20133,523

What cites it, inside the corpus

PaperYearCited
Mastering the game of Go without human knowledge20179,313
A Simple Framework for Contrastive Learning of Visual Representations20207,341
Continuous control with deep reinforcement learning20166,783
Continuous control with deep reinforcement learning20155,370
Deep Learning in Medical Image Analysis20174,917
An overview of gradient descent optimization algorithms20164,807
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning20174,487
Neural Architecture Search with Reinforcement Learning20163,881
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
A systematic study of the class imbalance problem in convolutional neural networks20183,072
Unsupervised Visual Representation Learning by Context Prediction20152,699
Deep Clustering for Unsupervised Learning of Visual Features20182,508
Convolutional 2D Knowledge Graph Embeddings20182,467
Optimization as a Model for Few-Shot Learning20172,436
Relational inductive biases, deep learning, and graph networks20182,406
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmenta…20192,334
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)20152,309
Barren plateaus in quantum neural network training landscapes20182,289
Deep visual domain adaptation: A survey20182,232
GAN-based synthetic medical image augmentation for increased CNN performance in liver les…20181,976
Convolutional Sequence to Sequence Learning20171,903
Generative adversarial network in medical imaging: A review20191,902
On Calibration of Modern Neural Networks20171,741
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervise…20191,730
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer …20171,660
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges20191,646
DeepGCNs: Can GCNs Go As Deep As CNNs?20191,380
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the …20151,371

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science
Advanced Neural Network ApplicationsComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports16 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…