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.

168,695 papers · 148 categories

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2 results for “ColoredMNIST”

An Empirical Study of Invariant Risk Minimizationstat.ML

Empirical study of IRMv1, an invariant risk minimization framework.

problem Learning predictors invariant to spurious correlations across different training environments.

method Extending ColoredMNIST experiment to various settings.

result IRMv1 performs better as spurious correlation varies more widely.

Invariant Risk Minimization ColoredMNIST Spurious Correlation Text Classification

2020-04-10abs ↗pdf ↗

Model-Based Domain Generalizationstat.ML

Deep learning struggles with out-of-distribution data, so this paper tackles domain generalization.

problem Deep learning models fail with out-of-distribution data.

method Formulates domain generalization as a constrained statistical learning problem, then uses nonconvex duality theory to develop an algorithm with convergence guarantees.

result Improves domain generalization by up to 30 percentage points on various benchmarks.

domain generalization deep learning out-of-distribution statistical learning nonconvex duality

2021-02-23abs ↗pdf ↗