1 citations · 1 across the 5 of their papers we have counts for
5 papers
Porting Large Language Models to Mobile Devices for Question Answering
Hannes Fassold
Deploying Large Language Models (LLMs) on mobile devices makes all the capabilities of natural language processing available on the device. An important use case of LLMs is questio…
A survey of manifold learning and its applications for multimedia
Hannes Fassold
Manifold learning is an emerging research domain of machine learning. In this work, we give an introduction into manifold learning and how it is employed for important application…
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
Hannes Fassold
The standard recipe applied in transfer learning is to finetune a pretrained model on the task-specific dataset with different hyperparameter settings and pick the model with the h…
A real-time algorithm for human action recognition in RGB and thermal video
Hannes Fassold, Karlheinz Gutjahr, Anna Weber +1
Monitoring the movement and actions of humans in video in real-time is an important task. We present a deep learning based algorithm for human action recognition for both RGB and t…
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
Gabriele Lagani, Claudio Gennaro, Hannes Fassold +1
Learning algorithms for Deep Neural Networks are typically based on supervised end-to-end Stochastic Gradient Descent (SGD) training with error backpropagation (backprop). Backprop…