A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
MOCA enables meta-learning without task segmentation for online learning.
Meta-analysis finds people value insurance for low-probability risks more than expected.
Meta-learning variance reduced via Laplace approximation for regression tasks.
In the semantic segmentation of street scenes the reliability of the prediction and therefore uncertainty measures are of highest interest. We present a method that generates for each input image a hierarchy of nested crops around the image center and presents these, all re-scaled to the same size, to a neural network …
Local nonparametric meta-learning improves meta-generalization across tasks.
The paper reduces sample complexity for estimating novel task parameters with few meta-learning tasks.
TNP-KR improves scalability of NPs with Transformer blocks and attention mechanisms.
C-Mixup improves generalization in regression tasks by adjusting label similarity.