iclr

A tweet criticizing an ICLR 2026 paper, pointing out that an open-sourced paper achieved excellent results but actually used test set labels to select parameters, questioning the rigor of top conference peer review.

ICLR 2027 has set its full paper deadline before NeurIPS 2026 decisions are announced, potentially disadvantaging papers that improved after NeurIPS rejection.

Fair Reinforcement Learning introduces Democratic Alignment to incorporate multiple competing value sets from different agents, overcoming traditional RLHF limitations, and achieves orders of magnitude faster optimization via a black-box policy wrapper.

This article presents a dataset and analysis pipeline for ICLR 2026 accepted papers, extracting institutional affiliations from PDF title blocks to create a clean dataset and publication-ready treemap visualizations.

MIT CSAIL researchers introduce RLCR, a method using Brier scores in reinforcement learning to train AI models to output calibrated confidence estimates, significantly reducing overconfidence without sacrificing accuracy.

A PhD student at ICLR seeks practical tactics to overcome social anxiety and break into existing conversation groups without generic confidence advice.

Two ICLR 2026 papers show how small RL-trained agents outperform frontier models on machine-learning engineering tasks and how MLE-Smith automatically scales MLE workloads.

AutoFigure is an open-source system for generating and refining editable, publication-ready scientific diagrams, accepted to ICLR 2026.