Due to privacy or commercial constraints, large pre-trained language mod...
We analyze the generalization ability of joint-training meta learning
al...
It is known that neural networks have the problem of being over-confiden...
Generalization error bounds are essential to understanding machine learn...
Due to privacy, storage, and other constraints, there is a growing need ...
We provide an information-theoretic analysis of the generalization abili...
Bounding the generalization error of a supervised learning algorithm is ...
As machine learning algorithms grow in popularity and diversify to many
...
Deep neural networks, trained with large amount of labeled data, can fai...