ICLR 2025 Workshop: I Can’t Believe It’s Not Better – Share Your Deep Learning Challenges

Submit your deep learning challenges to the ICLR 2025 ‘I Can’t Believe It’s Not Better’ workshop and share valuable insights on data issues, model assumptions, and more. Join the discussion and contribute to the field.

The ‘I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning’ workshop at ICLR 2025 invites papers showcasing negative results, failed experiments, and obstacles in real-world deep learning applications. Submit your experiences by February 3, 2025, to share valuable insights, data issues, model assumptions, interpretability gaps, scalability challenges, or deployment constraints. Accepted papers will be published on OpenReview, the workshop website, and PMLR proceedings, with the opportunity for spotlight talks and two awards: the ‘Entropic Award’ and the ‘Didactic Award’. Visit https://sites.google.com/view/icbinb-2025/call-for-papers for more information.

Tags: ICLR 2025, deep learning, workshop, negative results, failed experiments, real-world applications, OpenReview, PMLR, spotlight talks, Entropic Award, Didactic Award