[icml] Int'l Conference On Machine Learning

Academic Machine Learning Conferenceicml.cc

ICML is a non-profit organization that operates the annual International Conference on Machine Learning, the premier peer-reviewed venue for academic and industrial machine learning researchers, graduate students, and corporate sponsors, with proceedings published via PMLR.

Company typePrivate
Founded2002
HeadquartersSan Diego, United States
Headcount1–10
GTM typeB2C
OfferingServices

What [icml] Int'l Conference On Machine Learning does

The International Conference on Machine Learning (ICML) is a non-profit academic organization that has operated the premier annual machine learning research conference continuously since 2002, with the 43rd edition (ICML 2026) scheduled for July 6-11, 2026, at the COEX Convention & Exhibition Center in Seoul, South Korea. ICML serves academic researchers, industrial researchers from AI labs and technology companies, graduate students and postdocs, and corporate sponsors and exhibitors by providing a rigorously peer-reviewed venue to present, publish, and consume cutting-edge research across machine learning, AI, statistics, data science, computer vision, computational biology, speech recognition, and robotics. Its technology stack centers on four operational pillars: the OpenReview platform for double-blind paper submission, reviewer assignment, and discussion; a virtual conference platform enabling remote access to talks, posters, and sessions; native iOS and Android mobile applications for attendee scheduling and venue navigation; and PMLR (Proceedings of Machine Learning Research) for open-access publication of the complete proceedings archive. The go-to-market motion is event-driven and cyclical: annual Calls for Papers, Tutorials, Workshops, and Position Papers feed a peer-review funnel, with tiered registration fees (tutorial day, main conference, workshops) and corporate sponsorship/exhibitor fees generating revenue. The 2026 conference is sold out for tutorial and main conference registrations, while workshop registrations remain open and exhibitor applications have closed. The organizing committee is staffed by academic and industry leaders from institutions including Google, Microsoft Research, OpenAI, Google DeepMind, Princeton, KAIST, the University of Waterloo, and the University of Illinois Urbana-Champaign, with operational production supported by ICML staff and Eventhosts.

[icml] Int'l Conference On Machine Learning firmographics

Firmographics

Name: [icml] Int'l Conference On Machine Learning
Legal name: International Conference on Machine Learning
Website: https://icml.cc
Company type: Private
Founded year: 2002
Operating status: Operating
Headcount range: 1–10 employees
Short description: ICML is a non-profit organization that operates the annual International Conference on Machine Learning, the premier peer-reviewed venue for academic and industrial machine learning researchers, graduate students, and corporate sponsors, with proceedings published via PMLR.
Ownership category
akta.pro rank

[icml] Int'l Conference On Machine Learning industry classification

Industry

Product category: Academic Machine Learning Conference
NAICS: Other Schools and Instruction (6116), All Other Schools and Instruction (61169)
SIC: Services-Educational Services (8200), Services-Membership Organizations (8600)
akta.pro primary industry: Virtual/Hybrid Conference Production & Platform Management (THAHACAM)
akta.pro secondary industry: AI & Machine Learning (Foundations & Applied) (EDAMACAG)

Keywords

Machine learning conference
Academic peer review
Research proceedings publication
Scientific event hosting
AI research community

Where [icml] Int'l Conference On Machine Learning is headquartered

Location

Headquarters

HQ city: San Diego
HQ country: United States
HQ region: North America

Offices2 records

Markets served

[icml] Int'l Conference On Machine Learning business model

Business model

GTM type: B2C
Offering type: Services
Cost components: Operations, Personnel, Technology or R&D, Marketing or Sales, Others

Revenue model

Conference Registration Fees: Tiered registration fees for tutorial day, main conference, and workshop attendance. Tutorial and main conference registrations sold out for ICML 2026; workshop registrations remain open.
Sponsorship and Exhibitor Fees: Corporate sponsors and exhibitors support the conference through various sponsorship tiers. Applications for 2026 exhibitors have closed.
Proceedings and Publication Fees: Open-access publication through PMLR (Proceedings of Machine Learning Research)

Pricing tiers

Model	Billing	Price
Subscription	One time	Tutorial Day Registration
Subscription	One time	Main Conference Registration
Subscription	One time	Workshop Registration

Go-to-market motion1 record

Distribution channels4 records

Marketing channels7 records

[icml] Int'l Conference On Machine Learning product offering

Product offering

Core offering

ICML organizes and hosts the premier annual International Conference on Machine Learning, a peer-reviewed academic conference for presenting and publishing cutting-edge machine learning research. The conference spans tutorials, main conference paper sessions, workshops, invited talks, and an industry expo, supported by a virtual conference platform, native mobile apps, and open-access proceedings published through PMLR. Paper submissions and double-blind peer review are managed via the OpenReview platform.

Product overview

ICML (International Conference on Machine Learning) is a premier academic conference that provides a virtual conference platform for accessing research presentations, workshops, tutorials, and expo events. The conference offers mobile applications for iOS and Android devices to facilitate attendee access to conference content. The platform hosts over 6,900 events including invited talks, paper presentations, workshops across 44 topics, expo demonstrations, and social events.

Differentiator

Problem solved

Functional benefit

Products and services

ICML Annual Conference
ICML Virtual Conference Platform
ICML iOS Mobile App
ICML Android Mobile App
ICML Proceedings at PMLR

Quantifiable outcome

One of the fastest growing AI conferences globally
+1 more outcomes

Companies that use [icml] Int'l Conference On Machine Learning

Customer profile

Segments4 records

Ideal customer profiles3 records

[icml] Int'l Conference On Machine Learning technology and API

Technology

Technology focussed No

API detail

Has API: No
API docs
API detail

Core technology

AI maturity

App detail

Feature4 records

[icml] Int'l Conference On Machine Learning partnerships and signals

Strategic signal

Partnerships

Three partnerships are on record, tiered core.

OpenReviewcoreTechnology or IntegrationOpenReview serves as the official paper submission and peer review platform for ICML, managing double-blind reviews, author discussions, and acceptance decisions for all submitted papers.
PMLR (Proceedings of Machine Learning Research)coreTechnology or IntegrationPMLR provides open-access publication hosting for all ICML conference proceedings, making papers freely available to the global research community.
COEX Convention & Exhibition CentercoreOthersHost venue for ICML 2026 conference in Seoul, South Korea, providing facilities for main conference sessions, workshops, tutorials, and exhibitor booths.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

[icml] Int'l Conference On Machine Learning competitors and assessment

Company assessment

Direct peers

AAAI Conference on Artificial Intelligence: AAAI is one of the longest-running and broadest AI conferences, covering machine learning, reasoning, and AI applications. It competes with ICML for ML-related research submissions and serves a similar academic/industry audience.
NeurIPS (Conference on Neural Information Processing Systems): NeurIPS is the largest and most prestigious machine learning conference globally, directly competing with ICML for top-tier ML research submissions and industry sponsorship. Both conferences serve overlapping academic and industry audiences with similar peer-reviewed publication models.
IJCAI (International Joint Conference on Artificial Intelligence): IJCAI is a broad AI conference covering machine learning, reasoning, planning, and multi-agent systems. It competes with ICML for general ML/AI research submissions and serves a similar global academic audience.
KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining): KDD is a leading conference for data mining, knowledge discovery, and large-scale analytics, with strong overlap to ICML's data science and applied ML tracks. Both venues attract industrial researchers and publish peer-reviewed applied ML research.
CVPR (Conference on Computer Vision and Pattern Recognition): CVPR is the leading computer vision conference, with deep methodological overlap with ICML on deep learning and representation learning. Both attract overlapping industrial research sponsors (Google, Meta, Microsoft) and top-tier ML researchers.
ACL (Association for Computational Linguistics Annual Meeting): ACL is the premier NLP and computational linguistics conference, sharing ML methodology and a significant industrial research audience with ICML. While its core topic is language, it intersects with ICML on deep learning and representation learning research.
AISTATS (International Conference on Artificial Intelligence and Statistics): AISTATS is a premier conference at the intersection of machine learning and statistics, sharing significant topical overlap with ICML. Both conferences publish proceedings through PMLR and serve overlapping research communities.
UAI (Conference on Uncertainty in Artificial Intelligence): UAI is a specialized ML conference focusing on probabilistic methods, Bayesian inference, and uncertainty quantification. It overlaps significantly with ICML's theoretical and statistical ML tracks and serves a similar research community.
ICLR (International Conference on Learning Representations): ICLR is a top-tier ML conference focusing on deep learning and representation learning, directly competing with ICML for the same pool of ML researchers and best paper recognition. Both use OpenReview for peer review and share the same organizing community.

Others

OpenReview: OpenReview is ICML's core technology partner providing the peer review platform for paper submissions, reviews, and discussions. While not a direct competitor, OpenReview's platform serves as critical infrastructure enabling ICML's double-blind peer review process and increasingly serves competing venues.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

[icml] Int'l Conference On Machine Learning financial estimates

Financial estimate

Revenue estimate

Valuation estimate

[icml] Int'l Conference On Machine Learning leadership team

Management profile

Number of profiles

Profiles10 records

[icml] Int'l Conference On Machine Learning funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

[icml] Int'l Conference On Machine Learning M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about [icml] Int'l Conference On Machine Learning

What does [icml] Int'l Conference On Machine Learning do?

Is [icml] Int'l Conference On Machine Learning a public or private company?

[icml] Int'l Conference On Machine Learning is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was [icml] Int'l Conference On Machine Learning founded?

[icml] Int'l Conference On Machine Learning was founded in 2002. It employs 1 to 10 people.

Where is [icml] Int'l Conference On Machine Learning based?

[icml] Int'l Conference On Machine Learning is headquartered in San Diego, United States, in the North America region.

How does [icml] Int'l Conference On Machine Learning make money?

Three revenue lines are on record. Conference Registration Fees are the primary driver. The others are sponsorship and Exhibitor Fees and proceedings and Publication Fees.

Who are [icml] Int'l Conference On Machine Learning's main competitors?

Direct peers on record are AAAI Conference on Artificial Intelligence, NeurIPS (Conference on Neural Information Processing Systems), IJCAI (International Joint Conference on Artificial Intelligence), KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining), CVPR (Conference on Computer Vision and Pattern Recognition), ACL (Association for Computational Linguistics Annual Meeting), AISTATS (International Conference on Artificial Intelligence and Statistics), UAI (Conference on Uncertainty in Artificial Intelligence) and ICLR (International Conference on Learning Representations). OpenReview is listed as an others.

Does [icml] Int'l Conference On Machine Learning have an API?

No public API is recorded for [icml] Int'l Conference On Machine Learning.

What industry is [icml] Int'l Conference On Machine Learning in?

[icml] Int'l Conference On Machine Learning's product category is Academic Machine Learning Conference. Its primary akta.pro industry code is THAHACAM, Virtual/Hybrid Conference Production & Platform Management, with a secondary code of EDAMACAG, AI & Machine Learning (Foundations & Applied). Its NAICS code is 6116 and its SIC code is 8200.