Microsoft Icml 2025 Presidential . Registered for or attending icml (the international conference on machine learning) 2025; Doctorate in relevant field and 8+ years related research experience.
This paper expands the applicability of deep neural networks to realistic active learning scenarios, such as applications relevant to hci and large fractured datasets. The competitive dynamics of ai agents and a method for learning and applying temporal action abstractions represent just some of microsoft’s contributions to icml 2025.
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