International Conference on Learning Representations — 2026

ICLR — International Conference on Learning Representations

What It Is
ICLR is one of the premier global conferences in machine learning. It emphasizes representation learning, including deep learning, and welcomes both theoretical advances and practical applications.

Who Should Submit

• Researchers advancing neural architectures, optimization, and learning theory
• Authors presenting new methods for unsupervised, supervised, and reinforcement learning
• Practitioners applying representation learning in areas such as vision, language, speech, healthcare, or robotics
• Scholars contributing reproducible studies, benchmarks, or interpretability research

Who Should Attend

• Academics and students seeking exposure to the latest breakthroughs in deep learning and AI
• Industry professionals applying machine learning in real-world products and services
• Policymakers and entrepreneurs interested in the impact of AI on society and technology

Why It Matters
ICLR is a hub for cutting-edge ideas in representation learning, fostering open discussion, reproducibility, and collaboration across academia and industry. It shapes the direction of deep learning research and its transformative applications worldwide.

  For more information, visit the conference website