ICLR

International Conference on Learning Representations

Leading annual conference dedicated to deep learning and representation learning, covering neural architectures, self-supervised learning, graph neural networks, and AI safety. Targets deep learning researchers and practitioners who explore how learned representations can improve AI systems across domains. Distinctive for its fully open peer review process on OpenReview, enabling public discussion before final decisions.