Machine Learning at POSTECH (MLP) Workshop

POSTECH Graduate School of AI · Pohang, Republic of Korea
MLP Workshop OpenReview Page

Call for Proposals

MLP invites concise three-page proposals that present fresh ideas, position statements, or early-stage results in any area of machine learning (including work you are already pursuing). Each proposal should contain:

1. Abstract – 150–250 words.
2. Necessity & Motivation – why the problem matters now.
3. Scientific Importance – expected impact on ML research or real-world applications.
4. Core Idea & Problem Definition – the key insight, hypothesis, or method.

Novelty is welcome but not strictly required; proposals may expand on ongoing research.

Submission Format

• Length: Maximum 3 pages (figures/tables included, references excluded).
• Template: Any standard one-column ML conference template, 10-pt font, PDF. (ICLR 2025)
• Anonymity: No anonymization.
• Deadline: 19 June 2025, 23:59 KST. Late submissions will not be reviewed.

Review Process

• Real-name reviewing: each proposal receives 4 volunteer reviews.
• Reviewers assign a 1–5 score:
  • 5 – Strong Accept (SA)
  • 4 – Accept (A)
  • 3 – Weak Accept (WA)
  • 2 – Weak Reject (WR)
  • 1 – Reject (R)
• Every review must include a justification, strengths, weaknesses, and additional comments.
• Review deadline: 23 June 2025.

Rebuttal

Authors may submit a one-page rebuttal addressing reviewer comments.

• Due: 27 June 2025, 23:59 KST.
• Focus on factual clarifications; do not add new results.

Decision & Acceptance

• In-person program-committee meeting: 30 June 2025.

Important Dates (KST)

How to Submit

Upload your PDF to the following MLP submission portal:

MLP Workshop OpenReview Page

Join us at POSTECH to discuss bold ideas and shape the next wave of machine-learning research!