Who Cited It

AutoML: A survey of the state-of-the-art

2020 · Knowledge-Based Systems · 1,705 citations · 1 from inside this corpus

Xin He, Kaiyong Zhao low, Xiaowen Chu

No abstract in the source record.

AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Scikit-learn: Machine Learning in Python (2012)Scikit-learn: Machine Learnin…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Support-vector networks (1995)Support-vector networksSupport-Vector Networks (1995)Support-Vector NetworksSMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Xception: Deep Learning with Depthwise Separable Convolutions (2017)Xception: Deep Learning with …Advances in Neural Information Processing Systems 28 (2015)Advances in Neural Informatio…Advances in neural information processing systems 7 (1996)Advances in neural informatio…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Gaussian Processes in Machine Learning (2004)Gaussian Processes in Machine…A Practical Guide to Support Vector Classication (2008)A Practical Guide to Support …mixup: Beyond Empirical Risk Minimization (2017)mixup: Beyond Empirical Risk …Learning without Forgetting (2017)Learning without ForgettingNeural Architecture Search with Reinforcement Learning (2016)Neural Architecture Search wi…Evolving Neural Networks through Augmenting Topologies (2002)Evolving Neural Networks thro…Categorical Reparameterization with Gumbel-Softmax (2016)Categorical Reparameterizatio…Transformer-XL: Attentive Language Models beyond a Fixed-Length Context (2019)Transformer-XL: Attentive Lan…Algorithms for Hyper-Parameter Optimization (2011)Algorithms for Hyper-Paramete…Unsupervised word sense disambiguation rivaling supervised methods (1995)Unsupervised word sense disam…A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer … (2017)Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f… (2013)Making a Science of Model Sea…Neural Architecture Search: A Survey (2018)Neural Architecture Search: A…Text Data Augmentation for Deep Learning (2021)Text Data Augmentation for De…
28 of 28 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
Adam: A Method for Stochastic Optimization201484,698
Scikit-learn: Machine Learning in Python201264,025
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Support-vector networks199541,028
Support-Vector Networks199533,914
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Xception: Deep Learning with Depthwise Separable Convolutions201719,457
Advances in Neural Information Processing Systems 28201514,672
Advances in neural information processing systems 7199614,393
Distilling the Knowledge in a Neural Network201514,099
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …201711,354
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Practical Bayesian Optimization of Machine Learning Algorithms20125,674
Combining labeled and unlabeled data with co-training19985,631
Gaussian Processes in Machine Learning20045,173
A Practical Guide to Support Vector Classication20085,074
mixup: Beyond Empirical Risk Minimization20174,806
Learning without Forgetting20174,034
Neural Architecture Search with Reinforcement Learning20163,881
Evolving Neural Networks through Augmenting Topologies20023,298
Categorical Reparameterization with Gumbel-Softmax20163,229
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context20193,202
Algorithms for Hyper-Parameter Optimization20113,188
Unsupervised word sense disambiguation rivaling supervised methods19952,436
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer …20171,660
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f…20131,645
Neural Architecture Search: A Survey20181,406

What cites it, inside the corpus

PaperYearCited
Text Data Augmentation for Deep Learning20211,701

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science
Machine Learning and AlgorithmsComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports500 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…