Jonathon Hare

Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity

2022 · arXiv (Cornell University)

Multilayer Perceptrons struggle to learn certain simple arithmetic tasks. Specialist neural modules for arithmetic can outperform classical architectures with gains in extrapolation, interpretability and convergence speeds, but are highly sensitive to the training range. In …

T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples

2018

Alignments between natural language and Knowledge Base (KB) triples are an essential prerequisite for training machine learning approaches employed in a variety of Natural Language Processing problems.These include Relation Extraction, KB Population, Question Answering and …