On-device research index

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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5 results for “OpenML-CC18”

Decoding machine learning benchmarkscs.LG

New IRT method identifies useful datasets for ML classifier evaluation.

problem Lack of standard evaluation strategy for ML benchmarks.

method Applied Item Response Theory (IRT) to OpenML-CC18 benchmark.

result Not all datasets are useful for evaluating classifiers.

Item Response Theory Machine Learning Benchmarks Classifier Evaluation OpenML-CC18 IRT Models

2020-07-29abs ↗pdf ↗

OpenML Benchmarking Suitesstat.ML

Machine learning research depends on objectively interpretable, comparable, and reproducible algorithm benchmarks. We advocate the use of curated, comprehensive suites of machine learning tasks to standardize the setup, execution, and reporting of benchmarks. We enable this through software tools that help to create an…

2017-08-11abs ↗pdf ↗

Chameleon: Learning Model Initializations Across Tasks With Different Schemascs.LG

Chameleon learns model initializations across tasks with different schemas.

problem Meta-learning parameter initialization across tasks with varying predictor schemas.

method Chameleon aligns different predictor schemas to a common representation.

result Chameleon successfully learns parameter initializations across tasks with different schemas.

model initialization meta-learning few-shot learning schema alignment neural networks

2019-09-30abs ↗pdf ↗

Tabular data generation with tensor contraction layers and transformerscs.LG

Generative model improves tabular data density estimation.

problem Challenges in estimating tabular data distribution.

method Tensor contraction layers and transformers in VAEs.