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Found 2 papers, 2 papers with code
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
Identifying which parts of the data a given network is misclassifying has become as valuable as the network's overall performance.
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
Two standard compression techniques are pruning and quantization, with the former eliminating redundant connections in model layers and the latter representing model parameters with fewer bits.
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