18 citations · 51 across the 22 of their papers we have counts for
6 papers · 1 filter
Cost Sensitive Optimization of Deepfake Detector
Ivan Kukanov, Janne Karttunen, Hannu Sillanpää +1
Since the invention of cinema, the manipulated videos have existed. But generating manipulated videos that can fool the viewer has been a time-consuming endeavor. With the dramatic…
Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya
Abrhalei Tela, Abraham Woubie, Ville Hautamaki
In recent years, transformer models have achieved great success in natural language processing (NLP) tasks. Most of the current state-of-the-art NLP results are achieved by using m…
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
Reinforcement learning (RL) has been successful in training agents in various learning environments, including video-games. However, such work modifies and shrinks the action space…
Benchmarking End-to-End Behavioural Cloning on Video Games
Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
Behavioural cloning, where a computer is taught to perform a task based on demonstrations, has been successfully applied to various video games and robotics tasks, with and without…
Playing Minecraft with Behavioural Cloning
Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
MineRL 2019 competition challenged participants to train sample-efficient agents to play Minecraft, by using a dataset of human gameplay and a limit number of steps the environment…
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen +1
The spoofing countermeasure (CM) systems in automatic speaker verification (ASV) are not typically used in isolation of each other. These systems can be combined, for example, into…