In recent times, advances in artificial intelligence (AI) and IoT have
e...
Limited availability of labeled-data makes any supervised learning probl...
This paper introduces the notion of learning from contradictions (a.k.a
...
This research proposes to use the Moreau-Yosida envelope to stabilize th...
The current paradigm for using machine learning models on a device is to...
Variable metric proximal gradient (VM-PG) is a widely used class of conv...
This paper extends the idea of Universum learning [1, 2] to single-class...
We introduce Universum learning for multiclass problems and propose a no...