Search Results for author: Bernhard Kratzwald

Found 14 papers, 8 papers with code

Addressing distributional shifts in operations management: The case of order fulfillment in customized production

1 code implementation24 Apr 2023 Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic, Torbjørn H. Netland, Stefan Feuerriegel

We empirically validate our proposed approach using real-world data from a job shop production that supplies large metal components to an oil platform construction yard.

Decision Making Job Shop Scheduling +2

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation

1 code implementation19 Oct 2022 Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang

Unlike existing approaches, we generate pseudo labels and propose to train the model via a novel attention-based contrastive adaptation method.

Contrastive Learning Data Augmentation +2

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

1 code implementation EMNLP 2021 Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel

Here, we train a QA system on both source data and generated data from the target domain with a contrastive adaptation loss that is incorporated in the training objective.

Domain Adaptation Question Answering +2

Learning Active Learning in the Batch-Mode Setup with Ensembles of Active Learning Agents

no code implementations1 Jan 2021 Malte Ebner, Bernhard Kratzwald, Stefan Feuerriegel

As this approach can incorporate any active learning agent into its ensemble, it allows to increase the performance of every active learning agent by learning how to combine it with others.

Active Learning Reinforcement Learning (RL)

IntKB: A Verifiable Interactive Framework for Knowledge Base Completion

1 code implementation COLING 2020 Bernhard Kratzwald, Guo Kunpeng, Stefan Feuerriegel, Dennis Diefenbach

(ii) Our system is designed such that it continuously learns during the KB completion task and, therefore, significantly improves its performance upon initial zero- and few-shot relations over time.

Knowledge Base Completion Question Answering

Learning a Cost-Effective Annotation Policy for Question Answering

1 code implementation EMNLP 2020 Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun

State-of-the-art question answering (QA) relies upon large amounts of training data for which labeling is time consuming and thus expensive.

Question Answering

Practical Annotation Strategies for Question Answering Datasets

no code implementations6 Mar 2020 Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel

Here, remarkably, annotating a stratified subset with only 1. 2% of the original training set achieves 97. 7% of the performance as if the complete dataset was annotated.

Question Answering

RankQA: Neural Question Answering with Answer Re-Ranking

1 code implementation ACL 2019 Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel

The conventional paradigm in neural question answering (QA) for narrative content is limited to a two-stage process: first, relevant text passages are retrieved and, subsequently, a neural network for machine comprehension extracts the likeliest answer.

Question Answering Reading Comprehension +2

Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems

no code implementations29 Jan 2019 Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel

As our primary contribution, this is the first work that upper bounds the sample complexity for learning real-valued RNNs.

Adaptive Document Retrieval for Deep Question Answering

1 code implementation EMNLP 2018 Bernhard Kratzwald, Stefan Feuerriegel

State-of-the-art systems in deep question answering proceed as follows: (1) an initial document retrieval selects relevant documents, which (2) are then processed by a neural network in order to extract the final answer.

Question Answering Retrieval

Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization

no code implementations19 Apr 2018 Bernhard Kratzwald, Stefan Feuerriegel

Traditional information retrieval (such as that offered by web search engines) impedes users with information overload from extensive result pages and the need to manually locate the desired information therein.

Information Retrieval Management +3

Face Translation between Images and Videos using Identity-aware CycleGAN

no code implementations4 Dec 2017 Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc van Gool

This paper presents a new problem of unpaired face translation between images and videos, which can be applied to facial video prediction and enhancement.

Image-to-Image Translation Translation +1

Improving Video Generation for Multi-functional Applications

1 code implementation30 Nov 2017 Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel, Acharya Dinesh, Luc van Gool

In this paper, we aim to improve the state-of-the-art video generative adversarial networks (GANs) with a view towards multi-functional applications.

Colorization Future prediction +2

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