1 citations · 1 across the 4 of their papers we have counts for
4 papers
A simple mean field model of feature learning
Niclas Göring, Chris Mingard, Yoonsoo Nam +1
Feature learning (FL), where neural networks adapt their internal representations during training, remains poorly understood. Using methods from statistical physics, we derive a tr…
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
Joseph Liu, Yoonsoo Nam, Xinyue Cui +1
Despite the successes of language models, their evaluation remains a daunting challenge for new and existing tasks. We consider the task of text simplification, commonly used to im…
Exploiting the equivalence between quantum neural networks and perceptrons
Chris Mingard, Jessica Pointing, Charles London +2
Quantum machine learning models based on parametrized quantum circuits, also called quantum neural networks (QNNs), are considered to be among the most promising candidates for app…
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization
Yoonsoo Nam, Adam Lehavi, Daniel Yang +3
Video summarization remains a huge challenge in computer vision due to the size of the input videos to be summarized. We propose an efficient, language-only video summarizer that a…