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Found 4 papers, 1 papers with code
Dataset Difficulty and the Role of Inductive Bias
Motivated by the goals of dataset pruning and defect identification, a growing body of methods have been developed to score individual examples within a dataset.
Comprehensive Benchmarking of Entropy and Margin Based Scoring Metrics for Data Selection
While data selection methods have been studied extensively in active learning, data pruning, and data augmentation settings, there is little evidence for the efficacy of these methods in industry scale settings, particularly in low-resource languages.
Influence Scores at Scale for Efficient Language Data Sampling
Modern ML systems ingest data aggregated from diverse sources, such as synthetic, human-annotated, and live customer traffic.
Model-independent WIMP Scattering Responses and Event Rates: A Mathematica Package for Experimental Analysis
The community's reliance on simplified descriptions of WIMP-nucleus interactions reflects the absence of analysis tools that integrate general theories of dark matter with standard treatments of nuclear response functions.
High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment Nuclear Theory
