Levent Sagun

Scaling description of generalization with number of parameters in deep learning

2020 · Journal of Statistical Mechanics Theory and Experiment

Abstract Supervised deep learning involves the training of neural networks with a large number N of parameters. For large enough N , in the so-called over-parametrized regime, one can essentially fit the training data points. …

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

2017 · arXiv (Cornell University)

We publicly release a new large-scale dataset, called SearchQA, for machine comprehension, or question-answering. Unlike recently released datasets, such as DeepMind CNN/DailyMail and SQuAD, the proposed SearchQA was constructed to reflect a full pipeline of …