Papers with subtractive pruning-based probe

1 papers
Low-Complexity Probing via Finding Subnetworks (2021.naacl-main)

Copied to clipboard

Challenge: Existing approaches to probing neural networks for linguistic properties are to train a shallow multi-layer perceptron (MLP) on top of the model's internal representations.
Approach: They propose a subtractive pruning-based probe where they find an existing subnetwork that performs the linguistic task of interest.
Outcome: The proposed probe achieves higher accuracy on pre-trained models and lower accuracy on random models, and better learning on its own.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations