2 papers
cs.LG2025
Flexible task abstractions emerge in linear networks with fast and bounded units
Kai Sandbrink, Jan P. Bauer, Alexandra M. Proca +3
Animals survive in dynamic environments changing at arbitrary timescales, but such data distribution shifts are a challenge to neural networks. To adapt to change, neural systems m…
cs.LG2024
Gradient-based inference of abstract task representations for generalization in neural networks
Ali Hummos, Felipe del RÃo, Brabeeba Mien Wang +3
Humans and many animals show remarkably adaptive behavior and can respond differently to the same input depending on their internal goals. The brain not only represents the interme…