activity
20142023
most citedYFCC100M: The New Data in Multimedia Research

1.6k citations · 2.2k across the 44 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023★ 2 cited

FinDiff: Diffusion Models for Financial Tabular Data Generation

Timur Sattarov, Marco Schreyer, Damian Borth

The sharing of microdata, such as fund holdings and derivative instruments, by regulatory institutions presents a unique challenge due to strict data confidentiality and privacy re…

cs.CV2023

Ben-ge: Extending BigEarthNet with Geographical and Environmental Data

Michael Mommert, Nicolas Kesseli, Joëlle Hanna +3

Deep learning methods have proven to be a powerful tool in the analysis of large amounts of complex Earth observation data. However, while Earth observation data are multi-modal in…

cs.LG2023★ 1 cited

Partial Hypernetworks for Continual Learning

Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu +1

Hypernetworks mitigate forgetting in continual learning (CL) by generating task-dependent weights and penalizing weight changes at a meta-model level. Unfortunately, generating all…

eess.AS2023

Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech

Shijun Wang, Jón Guðnason, Damian Borth

Effective speech emotional representations play a key role in Speech Emotion Recognition (SER) and Emotional Text-To-Speech (TTS) tasks. However, emotional speech samples are more…

cs.LG2023

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models

Dominik Honegger, Konstantin Schürholt, Damian Borth

With growing size of Neural Networks (NNs), model sparsification to reduce the computational cost and memory demand for model inference has become of vital interest for both resear…

cs.SD2023

Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities

Shijun Wang, Jón Guðnason, Damian Borth

State-of-the-art Text-To-Speech (TTS) models are capable of producing high-quality speech. The generated speech, however, is usually neutral in emotional expression, whereas very o…

cs.LG2023★ 3 cited

Class-Incremental Learning with Repetition

Hamed Hemati, Andrea Cossu, Antonio Carta +5

Real-world data streams naturally include the repetition of previous concepts. From a Continual Learning (CL) perspective, repetition is a property of the environment and, unlike r…