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ICLR 2026: International Conference on Learning Representations

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로그인 회원가입

투고 마감일:
2025-09-19
통보일:
2026-01-22
개최일:
2026-04-24
개최지:
Singapore
개최 횟수:
14
CCF: A   ICORE: A*   조회: 146198   팔로우: 280   참가: 18

논문 모집

ICLR 2026 (International Conference on Learning Representations) is a CCF A / ICORE A* conference held in Singapore on 2026-04-24. The paper submission deadline is 2025-09-19. Acceptance notifications are sent on 2026-01-22.

We consider a broad range of subject areas including feature learning, metric learning, compositional modeling, structured prediction, reinforcement learning, uncertainty quantification and issues regarding large-scale learning and non-convex optimization, as well as applications in vision, audio, speech, language, music, robotics, games, healthcare, biology, sustainability, economics, ethical considerations in ML, and others. A non-exhaustive list of relevant topics: unsupervised, self-supervised, semi-supervised, and supervised representation learning transfer learning, meta learning, and lifelong learning reinforcement learning representation learning for computer vision, audio, language, and other modalities metric learning, kernel learning probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) generative models causal reasoning optimization learning theory learning on graphs and other geometries & topologies societal considerations including fairness, safety, privacy visualization or interpretation of learned representations datasets and benchmarks infrastructure, software libraries, hardware, etc. neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) applications to robotics, autonomy, planning applications to neuroscience & cognitive science applications to physical sciences (physics, chemistry, biology, etc.) general machine learning (i.e., none of the above)
최종 수정: Dou Sun ()

게재율

평균 게재율: 31.7% 9년간 (2017–2025).

연도투고 수게재 수게재율(%)
202511565370832.1%
20247304225030.8%
20234956157431.8%
20223328109532.9%
2021299786028.7%
2020259468726.5%
2019159150031.4%
201898131432%
201750719839.1%

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