ICML

E99263

academic conference machine learning conference

ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (7)

Label	Occurrences
ICML canonical	10
International Conference on Machine Learning	5
ICML 2014	1
ICML 2016	1
ICML 2018	1
ICML conference proceedings	1
Proceedings of the 33rd International Conference on Machine Learning	1

How this entity was disambiguated

This entity first appeared as the object of triple T805008 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: ICML
Context triple: [Wojciech Zaremba, publishedIn, ICML]

A. ICLR
ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
B. NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
C. IEEE International Conference on Data Mining
The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
D. SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
E. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: ICML
Target entity description: ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.

A. ICLR
ICLR (International Conference on Learning Representations) is a leading annual machine learning conference focused on deep learning and representation learning research.
B. NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
C. IEEE International Conference on Data Mining
The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
D. SIGKDD
SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
E. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) is a premier annual international research conference showcasing cutting-edge advances in computer vision, machine learning, and pattern recognition.
F. None of above. chosen

Statements (58)

Predicate	Object
instanceOf	academic conference ⓘ machine learning conference ⓘ
abbreviation	ICML self-link ⓘ
audience	academics ⓘ industry practitioners ⓘ researchers ⓘ
field	artificial intelligence ⓘ data science ⓘ machine learning ⓘ statistics ⓘ
frequency	annual ⓘ
fullName	ICML self-linksurface differs ⓘ surface form: International Conference on Machine Learning
hasEventType	keynote talks ⓘ main conference ⓘ oral presentations ⓘ poster sessions ⓘ tutorials ⓘ workshops ⓘ
hasProceedings	ICML self-linksurface differs ⓘ surface form: ICML conference proceedings
hasWebsite	https://icml.cc/ ⓘ
language	English ⓘ
organizedBy	International Machine Learning Society ⓘ
publicationType	archival conference proceedings ⓘ
ranking	top-tier machine learning conference ⓘ
reviewProcess	peer review ⓘ
scope	research in machine learning and related fields ⓘ
status	premier global conference in machine learning ⓘ
topic	Bayesian methods ⓘ ML for scientific discovery ⓘ applied machine learning ⓘ bandit algorithms ⓘ causal inference in machine learning ⓘ deep learning ⓘ fairness in machine learning ⓘ generative models ⓘ graph neural networks ⓘ graphical models ⓘ interpretability of machine learning models ⓘ kernel methods ⓘ large-scale learning ⓘ meta-learning ⓘ multi-agent learning ⓘ online and streaming learning ⓘ online learning ⓘ optimization for machine learning ⓘ privacy in machine learning ⓘ probabilistic modeling ⓘ reinforcement learning ⓘ representation learning ⓘ robustness in machine learning ⓘ semi-supervised learning ⓘ structured prediction ⓘ supervised learning ⓘ theoretical machine learning ⓘ transfer learning ⓘ unsupervised learning ⓘ
typicalFormat	peer-reviewed conference ⓘ
typicalLocation	various international locations ⓘ

How these facts were elicited

Referenced by (20)

Full triples — surface form annotated when it differs from this entity's canonical label.

Wojciech Zaremba → publishedIn → ICML ⓘ

Jimmy Ba → publicationVenue → ICML ⓘ

this entity surface form: International Conference on Machine Learning

Oriol Vinyals → publicationVenue → ICML ⓘ

ICML → fullName → ICML self-linksurface differs ⓘ

this entity surface form: International Conference on Machine Learning

ICML → abbreviation → ICML self-link ⓘ

ICML → hasProceedings → ICML self-linksurface differs ⓘ

this entity surface form: ICML conference proceedings

Dueling DQN → publishedAtConference → ICML ⓘ

this entity surface form: ICML 2016

Dueling DQN → citationVenue → ICML ⓘ

this entity surface form: Proceedings of the 33rd International Conference on Machine Learning

TRPO → publicationVenue → ICML ⓘ

this entity surface form: International Conference on Machine Learning

Heiga Zen → hasPublicationVenue → ICML ⓘ

Nal Kalchbrenner → hasGivenTalkAt → ICML ⓘ

Nal Kalchbrenner → hasPublishedIn → ICML ⓘ

Ioannis Antonoglou → publicationVenue → ICML ⓘ

Parallel WaveNet → publicationVenue → ICML ⓘ

this entity surface form: ICML 2018

Sergey Ioffe → publishedIn → ICML ⓘ

this entity surface form: International Conference on Machine Learning

Distributed Representations of Sentences and Documents → publishedIn → ICML ⓘ

this entity surface form: International Conference on Machine Learning

Distributed Representations of Sentences and Documents → publishedIn → ICML ⓘ

this entity surface form: ICML 2014

Phillip Isola → publishedIn → ICML ⓘ

Pedro Domingos → hasPublishedIn → ICML ⓘ

Xiangyu Zhang → publicationVenue → ICML ⓘ

All labels observed (7)

How this entity was disambiguated Show

Statements (58)

How these facts were elicited Show

Referenced by (20)

How this entity was disambiguated

How these facts were elicited