Sci4DL 2026

Deadlines
Machine Learning/CORE Unranked

Sci4DL 2026

Workshop on Scientific Methods for Understanding Deep Learning

Apr 26 2026Rio de Janeiro, BrazilOfficial workshop site Site reachable

The SciForDL 2026 workshop, held in conjunction with ICLR 2026, promotes a scientific approach to understanding deep learning through controlled experiments and empirical analysis, rather than relying solely on theoretical proofs or performance improvements. It aims to build a community around studies that validate or falsify hypotheses, uncover empirical regularities, and bridge theory with practice, even if they fall outside traditional conference acceptance criteria.

Key deadlines

Verified September 9, 2026

Abstract registration

February 5, 2026

AoE

Full paper

February 5, 2026

AoE

Workshop timeline

Submission and decisions

Abstract registrationKey deadline

February 5, 2026 · AoE

Full paperKey deadline

February 5, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Poster Papers

Accepted papers are presented as posters during poster sessions.

Contributed Talks

Selected works are highlighted as contributed talks.

Challenge Submission

Authors can opt-in to the Science of DL Improvement Challenge for a chance to give a lightning talk.

Research areas in scope

01

Application Domains

visionlanguageself-supervised learninggenerative models
02

Network Architectures

CNNstransformers
03

Object of Study

training dynamicsloss landscapesweightsrepresentations

Policies worth checking twice

  • Submissions are limited to 4 pages, with unlimited additional pages for references and appendices.
  • The review process is double-blind; all submissions must be anonymized.
  • Submissions that breach anonymity will be desk-rejected.
  • Submissions previously accepted at prior conferences, journals, or workshops must be extended with new results to be considered.
  • Papers currently under review elsewhere are welcome.
  • There will be no formal proceedings; accepted submissions will be made public on OpenReview.
  • Submissions must be made via OpenReview.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026