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.
Proposes PA-DSL for correcting noisy human labels in automated data labeling.
Transformers for binary decisions are sensitive to evidence order, leading to unreliable outcomes.
New model for disability insurance reserving handles delays in claim information.
New dataset and analysis improve evaluation of visual representation models.
Zero-shot understanding of accidents from surveillance videos using vision-language models
Crowd-sourcing is a cheap and popular means of creating training and evaluation datasets for machine learning, however it poses the problem of `truth inference', as individual workers cannot be wholly trusted to provide reliable annotations. Research into models of annotation aggregation attempts to infer a latent `tru…
Novel tRSA combines geometry and topology for brain and model analysis.
Characterizes causal structure dominance for latent variables.
Develops ML-DQA for healthcare data quality assurance.
Paper defines AI-specific loss reconstruction problem and introduces CER framework.