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 “MC-DropConnect”

Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!cs.CV

Bayesian Neural Networks improve uncertainty modeling in facial emotion recognition.

problem High aleatoric uncertainty and visual ambiguity in facial emotion recognition.

method Bayesian Neural Networks approximated using MC-Dropout, MC-DropConnect, or Ensemble methods.

result Bayesian Neural Networks produce more human-like output probabilities.

Facial Emotion Recognition Bayesian Neural Networks Aleatoric Uncertainty MC-Dropout MC-DropConnect

2020-08-17abs ↗pdf ↗

DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networkscs.LG

Deep neural networks (DNNs) have achieved state-of-the-art performances in many important domains, including medical diagnosis, security, and autonomous driving. In these domains where safety is highly critical, an erroneous decision can result in serious consequences. While a perfect prediction accuracy is not always …

2019-06-07abs ↗pdf ↗