Who Cited It

Xception: Deep Learning with Depthwise Separable Convolutions

2017 · 19,457 citations · 8 from inside this corpus

François Chollet

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.

Xception: Deep Learning with Depthwise Separable Convolutions (2017)Xception: Deep Learning with …Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Convergence Results for Neural Networks via Electrodynamics (2018)Convergence Results for Neura…Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) (2015)Fast and Accurate Deep Networ…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond (2019)GCNet: Non-Local Networks Mee…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Unsupervised Data Augmentation for Consistency Training (2019)Unsupervised Data Augmentatio…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Automated Machine Learning (2019)Automated Machine Learning
14 of 14 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Distilling the Knowledge in a Neural Network201514,099
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning201712,734
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning20174,487
Convergence Results for Neural Networks via Electrodynamics20182,943
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)20152,309

What cites it, inside the corpus

PaperYearCited
Machine Learning: Algorithms, Real-World Applications and Research Directions20215,368
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…20212,537
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond20192,125
AutoML: A survey of the state-of-the-art20201,705
Unsupervised Data Augmentation for Consistency Training20191,624
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Automated Machine Learning20191,451

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Adversarial Robustness in Machine LearningComputer Science
Advanced Neural Network ApplicationsComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports26 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

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

sha256 7e3d99a592f7f61f…