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Feature Compression

Compress data for machine interpretability to perform downstream tasks, rather than for human perception.

Papers

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Showing 71–80 of 96 papers

TitleStatusHype
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information—0
Fusion: Towards Automated ICD Coding via Feature Compression—0
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search—0
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic—0
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
Selective Feature Compression for Efficient Activity Recognition Inference—0
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction—0
Collaborative Intelligence: Challenges and Opportunities—0
Dynamic Submodular Maximization—0
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection—0
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