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.
Crowdsourcing infers ground truth from multiple annotators, verified for supervised learning.
A framework for faster, better infographic design by non-experts and experts alike.
New method learns robot skills from data, matching or outperforming existing methods.
A popular approach for large scale data annotation tasks is crowdsourcing, wherein each data point is labeled by multiple noisy annotators. We consider the problem of inferring ground truth from noisy ordinal labels obtained from multiple annotators of varying and unknown expertise levels. Annotation models for ordinal…
Algorithm improves learning by integrating diverse agents' behaviors.
CREDIT learns to master pair trading with risk-aware RL, outperforming existing methods.
Proposes a method for time-evolving and difficulty-level topic discovery.