Study confirms improved performance of Self-Critique and Adapt method.
problem Improving performance of MAML++ method.
method Self-Critique and Adapt (SCA) method.
result SCA method improves performance of MAML++.
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3 results for “self-critique”
SCA learns to learn from target-set examples, improving few-shot learning performance.
problem Limited labelled examples in few-shot learning tasks.
method SCA learns a label-free loss function via self-critique and adapts the base-model for new tasks.
result SCA achieves substantially reduced error-rates and state-of-the-art performance.
Deleting refusal directions from models leads to systematically more optimistic decisions.
problem The impact of removing refusal directions from models on decision-making outcomes.
method Ablation study using a frozen pipeline of 21,600 weekly equity decisions.
result Ablation of refusal directions makes models more optimistic and justifies themselves more, but also reduces confidence.