Ulf Krumnack | DeepAI

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Featured Co-authors

Kai-Uwe Kühnberger
11 publications
Mats L. Richter
7 publications
Julius Schöning
4 publications
Beentherize
3 publications
Justin Shenk
3 publications
Mohamad Ballout
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Gunther Heidemann
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2 publications
Simone Pika
1 publication
Ludwdig Schallner
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Leila Malihi
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∙ 09/07/2023

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction

The choice of the objective function is crucial in emerging high-quality...

0 Beentherize, et al. ∙

∙ 06/21/2023

Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI

Pre-trained language models have recently emerged as a powerful tool for...

0 Mohamad Ballout, et al. ∙

∙ 06/21/2023

Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks

Investigating deep learning language models has always been a significan...

0 Mohamad Ballout, et al. ∙

∙ 06/23/2021

Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis

Applying artificial neural networks (ANN) to specific tasks, researchers...

0 Mats L. Richter, et al. ∙

∙ 06/17/2021

Exploring the Properties and Evolution of Neural Network Eigenspaces during Training

In this work we explore the information processing inside neural network...

0 Mats L. Richter, et al. ∙

∙ 02/02/2021

Size Matters

Fully convolutional neural networks can process input of arbitrary size ...

2 Mats L. Richter, et al. ∙

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