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08/15/2023
Informed Named Entity Recognition Decoding for Generative Language Models
Ever-larger language models with ever-increasing capabilities are by now...
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08/11/2023
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Auditing financial documents is a very tedious and time-consuming proces...
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06/27/2023
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
The Rashomon Effect describes the following phenomenon: for a given data...
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11/11/2022
Towards automating Numerical Consistency Checks in Financial Reports
We introduce KPI-Check, a novel system that automatically identifies and...
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10/17/2022
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recogniti...
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09/05/2022
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning
The concept of Label Distribution Learning (LDL) is a technique to stabi...
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09/02/2022
A New Aligned Simple German Corpus
"Leichte Sprache", the German counterpart to Simple English, is a regula...
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08/08/2022
Gradient Flows for L2 Support Vector Machine Training
We explore the merits of training of support vector machines for binary ...
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08/03/2022
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports
We present KPI-BERT, a system which employs novel methods of named entit...
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06/08/2022
Predict better with less training data using a QNN
Over the past decade, machine learning revolutionized vision-based quali...
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05/23/2022
Informed Pre-Training on Prior Knowledge
When training data is scarce, the incorporation of additional prior know...
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04/23/2022
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Given is a set of images, where all images show views of the same area a...
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03/15/2022
QUBOs for Sorting Lists and Building Trees
We show that the fundamental tasks of sorting lists and building search ...
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01/08/2022
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
UAV-based image retrieval in modern agriculture enables gathering large ...
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12/20/2021
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention
In order to avoid disadvantages of monocropping for soil and environment...
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10/27/2021
Dynamic Review-based Recommenders
Just as user preferences change with time, item reviews also reflect tho...
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04/15/2021
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
Artificial intelligence for autonomous driving must meet strict requirem...
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12/10/2020
Recurrent Point Review Models
Deep neural network models represent the state-of-the-art methodologies ...
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11/16/2020
NLPGym – A toolkit for evaluating RL agents on Natural Language Processing Tasks
Reinforcement learning (RL) has recently shown impressive performance in...
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07/14/2020
Learning Syllogism with Euler Neural-Networks
Traditional neural networks represent everything as a vector, and are ab...
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12/09/2019
Recurrent Point Processes for Dynamic Review Models
Recent progress in recommender system research has shown the importance ...
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11/13/2019
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
This article briefly explains our submitted approach to the DocEng'19 co...
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06/24/2019
Recurrent Adversarial Service Times
Service system dynamics occur at the interplay between customer behaviou...
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03/29/2019
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning
Despite the great successes of machine learning, it can have its limits ...
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03/12/2018
Neural Conditional Gradients
The move from hand-designed to learned optimizers in machine learning ha...
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06/17/2017
Adiabatic Quantum Computing for Binary Clustering
Quantum computing for machine learning attracts increasing attention and...
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04/04/2017
Using Echo State Networks for Cryptography
Echo state networks are simple recurrent neural networks that are easy t...
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12/23/2015
k-Means Clustering Is Matrix Factorization
We show that the objective function of conventional k-means clustering c...
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01/25/2015
Exploring Human Vision Driven Features for Pedestrian Detection
Motivated by the center-surround mechanism in the human visual attention...
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10/13/2014
Propagation Kernels
We introduce propagation kernels, a general graph-kernel framework for e...
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10/26/2013
Efficient Information Theoretic Clustering on Discrete Lattices
We consider the problem of clustering data that reside on discrete, low ...
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10/16/2012