Search Results for author: Jasdeep Singh Grover

Found 2 papers, 1 papers with code

DeepCuts: Single-Shot Interpretability based Pruning for BERT

1 code implementation27 Dec 2022 Jasdeep Singh Grover, Bhavesh Gawri, Ruskin Raj Manku

We also analyze our pruning masks and find them to be significantly different from the ones obtained using standard metrics.

SPINE: Soft Piecewise Interpretable Neural Equations

no code implementations20 Nov 2021 Jasdeep Singh Grover, Harsh Minesh Domadia, Raj Anant Tapase, Grishma Sharma

This gives special advantages like (a)strong correspondence of parameters to pieces of the fit function(High Interpretability); (b)ability to fit any combination of continuous functions as pieces of the piecewise function(Ease of Design); (c)ability to add new non-linearities in a targeted region of the domain(Targeted Learning); (d)simplicity of an equation which avoids layering.

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