15 citations · 18 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CL2022
Domain-Specific Word Embeddings with Structure Prediction
Stephanie Brandl, David Lassner, Anne Baillot +1
Complementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, e.g., across time or domain. Current me…
cs.LG2022★ 2 cited
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Dennis Grinwald, Kirill Bykov, Shinichi Nakajima +1
Explainable Artificial Intelligence (XAI) aims to make learning machines less opaque, and offers researchers and practitioners various tools to reveal the decision-making strategie…