Información de la conferencia
ICLR 2025: International Conference on Learning Representations
https://iclr.cc/Conferences/2025Día de Entrega: |
2024-09-27 |
Fecha de Notificación: |
2025-01-22 |
Fecha de Conferencia: |
2025-04-24 |
Ubicación: |
Singapore |
Años: |
13 |
Vistas: 76831 Seguidores: 263 Asistentes: 18
Solicitud de Artículos
Subject Areas 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, and sparse coding 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)
Última Actualización Por Dou Sun en 2024-09-24
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SIMULATION | 1.300 | SAGE |
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