About: International Conference on Learning Representations

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The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).. In 2021, there were 2997 paper submissions, of which 860 were accepted (29%)..Along with ICML and NeurIPS, ICLR is one of the three major machine learning and artificial intelligence conferences, and has the highest impact of the three.

Attributes	Values
rdf:type	Thing schema:Event dul:Event societal event wikidata:Q1656682 academic conference Academic conference event
rdfs:label	International Conference on Learning Representations (en) Міжнародна конференція з навчальних представлень (uk) 国际表征学习大会 (zh)
rdfs:comment	The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).. In 2021, there were 2997 paper submissions, of which 860 were accepted (29%)..Along with ICML and NeurIPS, ICLR is one of the three major machine learning and artificial intelligence conferences, and has the highest impact of the three. (en) 国际表征学习大会（英語：International Conference on Learning Representations，ICLR），是机器学习领域的一个学术会议，每年一次，在春季召开。 (zh) Міжнародна конференція з навчальних представлень (англ. International Conference on Learning Representations) — щорічна наукова конференція на теми глибинного навчання, навчання представлень, навчання з підкріпленням та проблем з навчанням у великих масштабах і неопуклою оптимізацією, що проводиться з 2013-го року. (uk)
foaf:name	ICLR (en)
foaf:homepage	https://iclr.cc/
dcterms:subject	International conferences in Canada Signal processing conferences Artificial intelligence conferences
Wikipage page ID	59466481 (xsd:integer)
Wikipage revision ID	1120312379 (xsd:integer)
Link from a Wikipage to another Wikipage	California Canada Puerto Rico San Diego, California San Juan, Puerto Rico Scottsdale, Arizona United States Vancouver Vienna International conferences in Canada Signal processing conferences Open peer review Louisiana Machine learning Feature learning Austria Banff National Park Addis Ababa Ethiopia France Arizona Artificial intelligence AAAI Conference on Artificial Intelligence Artificial intelligence conferences Academic conference Kigali ICML NeurIPS New Orleans, Louisiana Yann LeCun Toulon, France
Link from a Wikipage to an external page	https://iclr.cc/
sameAs	International Conference on Learning Representations International Conference on Learning Representations International Conference on Learning Representations International Conference on Learning Representations International Conference on Learning Representations
dbp:wikiPageUsesTemplate	dbt:Flagicon dbt:Reflist dbt:Short_description dbt:Infobox_academic_conference dbt:Machine_learning dbt:Differentiable_computing
abbreviation	ICLR (en)
discipline	Machine learning Feature learning Artificial intelligence
frequency	Annual (en)
history	2013 (xsd:integer)
title	International Conference on Learning Representations (en)
website	https://iclr.cc/
has abstract	The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).. In 2021, there were 2997 paper submissions, of which 860 were accepted (29%)..Along with ICML and NeurIPS, ICLR is one of the three major machine learning and artificial intelligence conferences, and has the highest impact of the three. (en) 国际表征学习大会（英語：International Conference on Learning Representations，ICLR），是机器学习领域的一个学术会议，每年一次，在春季召开。 (zh) Міжнародна конференція з навчальних представлень (англ. International Conference on Learning Representations) — щорічна наукова конференція на теми глибинного навчання, навчання представлень, навчання з підкріпленням та проблем з навчанням у великих масштабах і неопуклою оптимізацією, що проводиться з 2013-го року. (uk)
openaccess	yes (en)
prov:wasDerivedFrom	wikipedia-en:International_Conference_on_Learning_Representations?oldid=1120312379&ns=0
page length (characters) of wiki page	3827 (xsd:nonNegativeInteger)
frequency of publication	Annual
academic discipline	Machine learning Feature learning Artificial intelligence
foaf:isPrimaryTopicOf	wikipedia-en:International_Conference_on_Learning_Representations
is Link from a Wikipage to another Wikipage of	Ruha Benjamin List of computer science conferences International Conference on Machine Learning Max Welling François Chollet Conference on Neural Information Processing Systems Machine learning Empirical Methods in Natural Language Processing Nando de Freitas AAAI Conference on Artificial Intelligence Transformer (machine learning model) CLEVER score Yann LeCun Incorporated Council of Law Reporting Sanja Fidler Raquel Urtasun
is Wikipage disambiguates of	Incorporated Council of Law Reporting

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