347 citations · 684 across the 26 of their papers we have counts for
5 papers · 1 filter
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M. Asano, Aaqib Saeed
What can neural networks learn about the visual world when provided with only a single image as input? While any image obviously cannot contain the multitudes of all existing objec…
Consistency Training of Multi-exit Architectures for Sensor Data
Aaqib Saeed
Deep neural networks have become larger over the years with increasing demand of computational resources for inference; incurring exacerbate costs and leaving little room for deplo…
Federated Self-Training for Semi-Supervised Audio Recognition
Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
Federated Learning is a distributed machine learning paradigm dealing with decentralized and personal datasets. Since data reside on devices like smartphones and virtual assistants…
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
Zaharah A. Bukhsh, Aaqib Saeed, Remco M. Dijkman
Predictive business process monitoring focuses on predicting future characteristics of a running process using event logs. The foresight into process execution promises great poten…
Damage detection using in-domain and cross-domain transfer learning
Zaharah A. Bukhsh, Nils Jansen, Aaqib Saeed
We investigate the capabilities of transfer learning in the area of structural health monitoring. In particular, we are interested in damage detection for concrete structures. Typi…