Detailed info Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? AuthorsAndrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa RicciTitleAre We Missing Confidence in Pseudo-LiDAR…
Detailed info Within-layer Diversity Reduces Generalization Gap AuthorsFiras Laakom, Jenni Raitoharju, Alexandros Iosifidis and Moncef GabboujTitleWithin-layer Diversity Reduces Generalization GapAbstractNeural networks are composed of multiple layers arranged in a hierarchical…
Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources of information, such as the audio, interactions between users and songs, or associated genre metadata.
Underspecification and fairness in machine learning (ML) applications have recently become two prominent issues in the ML community. Acoustic scene classification (ASC) applications have so far remained unaffected by this discussion, but are now becoming increasingly used in real-world systems where fairness and reliability are critical aspects.
