2 papers
cs.LG2024
Perturbing the Gradient for Alleviating Meta Overfitting
Manas Gogoi, Sambhavi Tiwari, Shekhar Verma
The reason for Meta Overfitting can be attributed to two factors: Mutual Non-exclusivity and the Lack of diversity, consequent to which a single global function can fit the support…
cs.LG2024
MAC: A Meta-Learning Approach for Feature Learning and Recombination
S. Tiwari, M. Gogoi, S. Verma +1
Optimization-based meta-learning aims to learn an initialization so that a new unseen task can be learned within a few gradient updates. Model Agnostic Meta-Learning (MAML) is a be…