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Title:2026 Conference
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h2Main Navigation
h1ICLR 2026
h3Registration
h2Announcements
h5We need qualified reviewers! Please fill up this reviewer volunteer form if interested!
h5LLM Usage Policies at ICLR 2026
h3Sponsors
h3Latest ICLR Blog Entries [ All Entries ]
h3Important Dates
h4About Us
h6Useful links
h6Contact

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2026 Conference

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# ICLR 2026

The Fourteenth International Conference on Learning Representations



Rio de Janeiro, Brazil

firstback

### Registration

Register starting Dec 20 03 PM PST Cancellation Policy »

## Announcements

**ICLR 2026
April 23-27, 2026
Rio de Janeiro, Brazil**

- ##### **We need qualified reviewers! Please fill up this reviewer volunteer form if interested!**
- ##### **LLM Usage Policies at ICLR 2026**

### Sponsors

Check back Dec 1, 2025

Become a 2026 Sponsor (not currently taking applications)

### Latest ICLR Blog Entries \[ All Entries \]

Aug 26, 2025

Policies on Large Language Model Usage at ICLR 2026

Apr 23, 2025

ICLR 2025 Mentoring Chats

Apr 23, 2025

Announcing the Outstanding Paper Awards at ICLR 2025

Apr 15, 2025

Leveraging LLM feedback to enhance review quality

Apr 14, 2025

Announcing the Test of Time Award Winners from ICLR 2015

Apr 11, 2025

Announcing the ICLR 2025 Keynote Speakers

Feb 03, 2025

Workshops at ICLR 2025

Oct 09, 2024

Assisting ICLR 2025 reviewers with feedback

Aug 22, 2024

Extended partnership pilot with TMLR for ICLR 2025

May 07, 2024

ICLR 2024 Test of Time Award

### Important Dates

#### **About Us**

**The International Conference on Learning Representations (ICLR)** is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

ICLR is globally renowned for presenting and publishing **cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.**

Participants at ICLR span a wide range of backgrounds, **from** **academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.**

A non-exhaustive list of relevant topics explored at the conference include:

- unsupervised, semi-supervised, and supervised representation learning
- representation learning for planning and reinforcement learning
- representation learning for computer vision and natural language processing
- metric learning and kernel learning
- sparse coding and dimensionality expansion
- hierarchical models
- optimization for representation learning
- learning representations of outputs or states
- optimal transport
- theoretical issues in deep learning
- societal considerations of representation learning including fairness, safety, privacy, and interpretability, and explainability
- visualization or interpretation of learned representations
- implementation issues, parallelization, software platforms, hardware
- climate, sustainability
- applications in audio, speech, robotics, neuroscience,  biology, or any other field



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###### Useful links

- Sponsor / Exhibitor Information
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###### Contact

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Phone: +1-920-268-4789

ICLR Proceedings at OpenReview