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- University of Applied Sciences and Arts of Southern SwitzerlandCH65 papers
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16 papers · 1 filter
Automatic Embedding of Stories Into Collections of Independent Media
Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad +2
We look at how machine learning techniques that derive properties of items in a collection of independent media can be used to automatically embed stories into such collections. To…
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri, Dario Mantegazza, Elia Cereda +5
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synth…
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks
Dario Mantegazza, Carlos Redondo, Fran Espada +3
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robo…
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
Despite progress across a broad range of applications, Transformers have limited success in systematic generalization. The situation is especially frustrating in the case of algori…
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem
Umberto Junior Mele, Luca Maria Gambardella, Roberto Montemanni
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred ver…
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
Recently, many datasets have been proposed to test the systematic generalization ability of neural networks. The companion baseline Transformers, typically trained with default hyp…