Who Cited It

Multitask Learning

1997 · Machine Learning · 6,478 citations · 19 from inside this corpus

Rich Caruana

No abstract in the source record.

Multitask Learning (1997)Multitask LearningLearning representations by back-propagating errors (1986)Learning representations by b…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Statistical Analysis With Missing Data (1989)Statistical Analysis With Mis…Induction of Decision Trees (1986)Induction of Decision TreesInduction of decision trees (1986)Induction of decision treesCausation, Prediction, and Search (1993)Causation, Prediction, and Se…Causation, Prediction, and Search (2001)Causation, Prediction, and Se…A Bayesian Method for the Induction of Probabilistic Networks from Data (1992)A Bayesian Method for the Ind…Statistical Analysis with Missing Data (1988)Statistical Analysis with Mis…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…Hierarchical Mixtures of Experts and the EM Algorithm (1994)Hierarchical Mixtures of Expe…A Bayesian method for the induction of probabilistic networks from data (1992)A Bayesian method for the ind…A Survey on Transfer Learning (2009)A Survey on Transfer LearningDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Learning without Forgetting (2017)Learning without ForgettingExploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…A Review on Multi-Label Learning Algorithms (2013)A Review on Multi-Label Learn…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …Generalizing from a Few Examples (2020)Generalizing from a Few Examp…A Survey on Multi-Task Learning (2021)A Survey on Multi-Task Learni…Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2021)Domain-Specific Language Mode…Describing objects by their attributes (2009)Describing objects by their a…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Boosting for transfer learning (2007)Boosting for transfer learningTransfer Learning for Reinforcement Learning Domains: A Survey (2009)Transfer Learning for Reinfor…A Survey on Deep Learning for Named Entity Recognition (2020)A Survey on Deep Learning for…Regularized multi--task learning (2004)Regularized multi--task learn…Mining Multi-label Data (2009)Mining Multi-label DataA Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…
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.
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
Learning representations by back-propagating errors198631,688
C4.5: Programs for Machine Learning199223,704
Statistical Analysis With Missing Data198917,507
Induction of Decision Trees198615,020
Induction of decision trees198612,427
Causation, Prediction, and Search19934,748
Causation, Prediction, and Search20014,550
A Bayesian Method for the Induction of Probabilistic Networks from Data19923,530
Statistical Analysis with Missing Data19883,124
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
Hierarchical Mixtures of Experts and the EM Algorithm19942,684
A Bayesian method for the induction of probabilistic networks from data19922,348

What cites it, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Deep learning in neural networks: An overview201418,236
Natural Language Processing (almost) from Scratch20115,174
Learning without Forgetting20174,034
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
A Review on Multi-Label Learning Algorithms20133,375
Language Models are Few-Shot Learners20203,020
Generalizing from a Few Examples20202,761
A Survey on Multi-Task Learning20212,310
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing20212,146
Describing objects by their attributes20091,936
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
Boosting for transfer learning20071,748
Transfer Learning for Reinforcement Learning Domains: A Survey20091,564
A Survey on Deep Learning for Named Entity Recognition20201,534
Regularized multi--task learning20041,481
Mining Multi-label Data20091,410
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

Links

DOI · Open access copy · OpenAlex record

Topics

Bayesian Modeling and Causal InferenceComputer Science
Domain Adaptation and Few-Shot LearningComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports77 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…