Papers by Salvador Mascarenhas
Meta-Learning Neural Mechanisms rather than Bayesian Priors (2025.acl-long)
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| Challenge: | a meta-learning approach has been proposed to integrate human-like learning biases into neural networks . a recent study suggests that meta-training on a single formal language can improve a model . |
| Approach: | They propose to integrate human-like learning biases into neural-network architectures . they use symbolic models to capture aspects of humans' basic generalisations from small data . |
| Outcome: | The proposed model can learn from a single language as much as 5000 different languages . the model can be scaled to a larger model and training datasets . |