Neural contextual bandits with deep representation and shallow exploration
We study a general class of contextual bandits, where each context-action pair is associated
with a raw feature vector, but the reward generating function is unknown. We propose a …
with a raw feature vector, but the reward generating function is unknown. We propose a …
Scalable representation learning in linear contextual bandits with constant regret guarantees
We study the problem of representation learning in stochastic contextual linear bandits.
While the primary concern in this domain is usually to find\textit {realizable} representations …
While the primary concern in this domain is usually to find\textit {realizable} representations …
Improving image classification robustness using self‐supervision
L Wittscher, J Diers, C Pigorsch - Stat, 2022 - Wiley Online Library
Self‐supervised learning allows training of neural networks without immense, high‐quality
or labelled data sets. We demonstrate that self‐supervision furthermore improves …
or labelled data sets. We demonstrate that self‐supervision furthermore improves …
Inovasi Teknologi Self Adhesive Labelling Machine untuk Meningkatkan Efisiensi dalam Proses Pelabelan Kemasan Produk UMKM di Dusun Sanggrahan
Abstract Penerapan Self Adhesive Labelling Machine di Dusun Sanggrahan, Desa Jugo,
Kecamatan Kesamben, telah meningkatkan efisiensi pelabelan kemasan produk bagi …
Kecamatan Kesamben, telah meningkatkan efisiensi pelabelan kemasan produk bagi …