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arXiv research

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.

168,742 papers · 148 categories

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2 results for “cardinality-aware”

Cardinality-Aware Set Prediction and Top-

k

Classificationcs.LG

Study improves top-k set prediction with low cardinality.

problem Improving top-k set prediction accuracy with low cardinality.

method Introduces new target loss function and surrogate losses.

result Demonstrates effectiveness of cardinality-aware algorithms.

set prediction top-k classification cardinality-aware CIFAR-10 CIFAR-100

2024-07-09abs ↗pdf ↗

Top-

k

Classification and Cardinality-Aware Predictioncs.LG

Study on top- $k$ classification with new loss functions and algorithms.

problem Improving multi-class classification accuracy and cardinality trade-off.

method Introducing cardinality-aware loss functions and deriving their consistency bounds.

result New cardinality-aware algorithms for top-

k

classification.

top-k classification multi-class classification surrogate loss functions cardinality-aware instance-dependent cost-sensitive learning

2024-03-28abs ↗pdf ↗