Machine Learning

ICLR 2026

International Conference on Learning Representations

Paper Deadline

Sep 24, 2026(estimated)

97d left

Abstract Deadline

Sep 19, 2026(estimated)

92d left

Conference

Typically April 2027

Conference Table

Flights, hotels & deadlines.

Topic		Conference			Location		Venue
ML	A*	ICLR International Conference on Learning Representations	Typically September97 days	Typically in Apr 2027	Not yet announced	Not yet announced	Not yet announced	Not yet announced
Past Events
ML	A*	ICLR International Conference on Learning Representations	Past Past		Rio de Janeiro Brazil, South America			26°C Warm and humid
ML	A*	ICLR International Conference on Learning Representations	Past Past		Singapore Singapore, Asia			32°C Hot and humid

About

About ICLR

ICLR is a rapidly-growing conference focused on representation learning, deep learning, and related areas. Founded in 2013 by Yoshua Bengio and Yann LeCun, it pioneered the open peer review format and has become one of the top venues for deep learning research.

Topic Area

Machine Learning

Frequency

Annual

Typical Timing

April–May

Known For

Pioneered open peer review; leading venue for deep learning and representation learning

FAQ

Frequently Asked Questions

What is ICLR?

ICLR stands for "International Conference on Learning Representations." ICLR is a rapidly-growing conference focused on representation learning, deep learning, and related areas. Founded in 2013 by Yoshua Bengio and Yann LeCun, it pioneered the open peer review format and has become one of the top venues for deep learning research.

When is ICLR 2026?

ICLR typically takes place in April–May. Exact dates for 2026 have not been confirmed yet — check back for updates.

What is the ICLR 2026 submission deadline?

The estimated paper submission deadline for ICLR 2026 is around September 24, 2026. This date is approximate and may change — check the official website for confirmation.

What topics does ICLR cover?

ICLR is a machine learning conference. Pioneered open peer review; leading venue for deep learning and representation learning.

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