10 citations · 16 across the 4 of their papers we have counts for
4 papers
SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language Models
Hoda Fakharzadehjahromy, Emil Wiman, Andreas Bueff +2
Language models for low-resource languages still make frequent grammatical errors. Alignment methods such as RLHF and DPO can correct them. However, they require human judgements,…
Deep Inductive Logic Programming meets Reinforcement Learning
Andreas Bueff, Vaishak Belle
One approach to explaining the hierarchical levels of understanding within a machine learning model is the symbolic method of inductive logic programming (ILP), which is data effic…
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff, Ioannis Papantonis, Auste Simkute +1
Given the importance of integrating of explainability into machine learning, at present, there are a lack of pedagogical resources exploring this. Specifically, we have found a nee…
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks
Andreas Bueff, Stefanie Speichert, Vaishak Belle
Probabilistic representations, such as Bayesian and Markov networks, are fundamental to much of statistical machine learning. Thus, learning probabilistic representations directly…