main webpage W Topic Engineering arXiv (Cornell University) SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems 2023 Data imbalance in training data often leads to biased predictions from trained models, which in turn causes ethical and social issues. A straightforward solution is to carefully curate training data, but given the enormous scale of modern neural networks, thi… Article Open Engineering Open Article Page

Engineering

Applied science Engineering is the use of scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and buildings. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering. The term engineering is derived from the Latin ingenium , meaning "cleverness" and ingeniare , meaning "to contrive, devise". … Critical Symbolic Virtual Narrative Open Engineering Open Article Page

Exploring foci of: arXiv (Cornell University) SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems 2023 Data imbalance in training data often leads to biased predictions from trained models, which in turn causes ethical and social issues. A straightforward solution is to carefully curate training data, but given the enormous scale of modern neural networks, this is prohibitively labor-intensive and thus impractical. Inspired by recent developments in generative models, this paper explores the potential of synthetic data to address the data imbalance problem. To be specific, our method, dubbed SYNAuG, leverages synth… Open Article Page

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Explore Engineering W Topic Engineering arXiv (Cornell University) SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems 2023 Data imbalance in training data often leads to biased predictions from trained models, which in turn causes ethical and social issues. A straightforward solution is to carefully curate training data, but given the enormous scale of modern neural networks, thi… Article Critical Symbolic Virtual Narrative Open Engineering Open Article Page