This is a place for UAI 2026 participants to share their reactions, whether rants or relief, once the conference reviews are released soon. Good luck to everyone with their results.
An ML researcher expresses discouragement with the current review system for top-tier AI/ML conferences, citing instances where papers are rejected despite authors addressing all reviewer concerns. The post seeks better methods to ensure a fair review process for the high volume of submissions.
The user is considering shifting from ML conferences to journals due to negative reviewing experiences, seeking advice on alternatives to JMLR and TMLR. They are curious about journals like Neurocomputing and Neural Networks, specifically regarding their selectivity and quality despite their Q1 status in the conference-oriented ML world.
The title "AI Dev 26 x SF | Marc Brooker: It's Time to Be Right" suggests a presentation by Marc Brooker at an AI Development event in San Francisco. It likely focuses on the importance of correctness and reliability in AI systems or development practices.
By mid-2026, artificial intelligence will be deeply integrated into products, workplaces, and decision-making, moving beyond the experimental stage. This shift is highlighted by the increasing number of massive AI conferences and events being held.
This content discusses an AI development event that took place in San Francisco. It provides an inside look at the 'AI Dev 26' gathering.
