2025
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
AISTATS 2025poster
A number of different architectures and loss functions have been applied to the problem of self-supervised learning (SSL), with the goal of developing embeddings that provide the best possible pre-training for as-yet-unknown, lightly supervised downstream tasks. One of these SSL criteria is to maxim…