What distinguishes curriculum learning from traditional learning approaches?

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Curriculum learning is characterized by its structured approach to task complexity, which sets it apart from traditional learning methods. In curriculum learning, models are trained progressively on tasks that range from simpler to more complex. This allows the model to build a strong foundation through easier examples before tackling more challenging ones. The structured progression helps in improving the learning efficiency and overall performance of the model, as it can leverage previously acquired knowledge to understand more complicated aspects of the task at hand.

In contrast, traditional learning often presents data in a more randomized fashion or focuses on uniformly complex inputs without a structured progression, potentially overwhelming the model and leading to ineffective learning. This fundamental difference in how tasks are organized and presented is key to the effectiveness of curriculum learning.

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