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Found 4 papers, 1 papers with code
Leveraging Contextual Information for Effective Entity Salience Detection
In text documents such as news articles, the content and key events usually revolve around a subset of all the entities mentioned in a document.
A Study of the Generalizability of Self-Supervised Representations
We show that the SSL representations are more generalizable as compared to the SL representations.
WeightScale: Interpreting Weight Change in Neural Networks
Interpreting the learning dynamics of neural networks can provide useful insights into how networks learn and the development of better training and design approaches.
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
Understanding the per-layer learning dynamics of deep neural networks is of significant interest as it may provide insights into how neural networks learn and the potential for better training regimens.
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