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cs.LG2024
Structural Pruning of Pre-trained Language Models via Neural Architecture Search
Aaron Klein, Jacek Golebiowski, Xingchen Ma +2
Pre-trained language models (PLM), for example BERT or RoBERTa, mark the state-of-the-art for natural language understanding task when fine-tuned on labeled data. However, their la…
cs.LG2024
Explaining Probabilistic Models with Distributional Values
Luca Franceschi, Michele Donini, Cédric Archambeau +1
A large branch of explainable machine learning is grounded in cooperative game theory. However, research indicates that game-theoretic explanations may mislead or be hard to interp…