A hypernetwork is trained to predict the whole weight trajectory of a task network by matching the task loss gradient at each step, removing the need for per-sample ground truth weights.
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HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
A hypernetwork is trained to predict the whole weight trajectory of a task network by matching the task loss gradient at each step, removing the need for per-sample ground truth weights.