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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2 results for “context-driven”

Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigationcs.LG

This paper introduces C-DSL to improve data mining outcomes by considering context.

problem Data collection ambiguities, data imbalance, hidden biases, lack of domain info, and data incompleteness.

method Developed Context-Driven Data Science Lifecycle (C-DSL) to address data quality issues.

result Tangible improvements to data mining outcomes were achieved through C-DSL.

data mining context-driven data quality data incompleteness bias removal

2019-10-19abs ↗pdf ↗

Scene Graph Reasoning for Visual Question Answeringcs.LG

A novel method for visual question answering using scene graphs and reinforcement learning.

problem Answering free-form questions about images with deep linguistic and visual understanding.

method Context-driven, sequential reasoning based on scene graphs and reinforcement learning.

result Our method almost reaches human performance on the GQA dataset.

visual question answering scene graphs reinforcement learning computer vision natural language processing

2020-07-02abs ↗pdf ↗