Deutsche Jahrestagung für Künstliche Intelligenz最新文献

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PapagAI: Automated Feedback for Reflective Essays PapagAI:反思性论文的自动反馈
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2023-07-10 DOI: 10.48550/arXiv.2307.07523
Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer, Sascha Witte, Chengming Zhang, Fernando Ramos L'opez Lea Plossl, Florian Hofmann, R. Romeike, Michaela Glaser-Zikuda, C. Benzmuller, Tim Landgraf
{"title":"PapagAI: Automated Feedback for Reflective Essays","authors":"Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer, Sascha Witte, Chengming Zhang, Fernando Ramos L'opez Lea Plossl, Florian Hofmann, R. Romeike, Michaela Glaser-Zikuda, C. Benzmuller, Tim Landgraf","doi":"10.48550/arXiv.2307.07523","DOIUrl":"https://doi.org/10.48550/arXiv.2307.07523","url":null,"abstract":"Written reflective practice is a regular exercise pre-service teachers perform during their higher education. Usually, their lecturers are expected to provide individual feedback, which can be a challenging task to perform on a regular basis. In this paper, we present the first open-source automated feedback tool based on didactic theory and implemented as a hybrid AI system. We describe the components and discuss the advantages and disadvantages of our system compared to the state-of-art generative large language models. The main objective of our work is to enable better learning outcomes for students and to complement the teaching activities of lecturers.","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ontology Pre-training for Poison Prediction 毒物预测的本体预训练
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2023-01-20 DOI: 10.48550/arXiv.2301.08577
Martin Glauer, F. Neuhaus, T. Mossakowski, J. Hastings
{"title":"Ontology Pre-training for Poison Prediction","authors":"Martin Glauer, F. Neuhaus, T. Mossakowski, J. Hastings","doi":"10.48550/arXiv.2301.08577","DOIUrl":"https://doi.org/10.48550/arXiv.2301.08577","url":null,"abstract":"Integrating human knowledge into neural networks has the potential to improve their robustness and interpretability. We have developed a novel approach to integrate knowledge from ontologies into the structure of a Transformer network which we call ontology pre-training: we train the network to predict membership in ontology classes as a way to embed the structure of the ontology into the network, and subsequently fine-tune the network for the particular prediction task. We apply this approach to a case study in predicting the potential toxicity of a small molecule based on its molecular structure, a challenging task for machine learning in life sciences chemistry. Our approach improves on the state of the art, and moreover has several additional benefits. First, we are able to show that the model learns to focus attention on more meaningful chemical groups when making predictions with ontology pre-training than without, paving a path towards greater robustness and interpretability. Second, the training time is reduced after ontology pre-training, indicating that the model is better placed to learn what matters for toxicity prediction with the ontology pre-training than without. This strategy has general applicability as a neuro-symbolic approach to embed meaningful semantics into neural networks.","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"120 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automated Kantian Ethics: A Faithful Implementation 自动化康德伦理学:忠实的实现
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2022-07-20 DOI: 10.48550/arXiv.2207.10152
Lavanya Singh
{"title":"Automated Kantian Ethics: A Faithful Implementation","authors":"Lavanya Singh","doi":"10.48550/arXiv.2207.10152","DOIUrl":"https://doi.org/10.48550/arXiv.2207.10152","url":null,"abstract":"As we grant artificial intelligence increasing power and independence in contexts like healthcare, policing, and driving, AI faces moral dilemmas but lacks the tools to solve them. Warnings from regulators, philosophers, and computer scientists about the dangers of unethical artificial intelligence have spurred interest in automated ethics-i.e., the development of machines that can perform ethical reasoning. However, prior work in automated ethics rarely engages with philosophical literature. Philosophers have spent centuries debating moral dilemmas so automated ethics will be most nuanced, consistent, and reliable when it draws on philosophical literature. In this paper, I present an implementation of automated Kantian ethics that is faithful to the Kantian philosophical tradition. I formalize Kant's categorical imperative in Dyadic Deontic Logic, implement this formalization in the Isabelle theorem prover, and develop a testing framework to evaluate how well my implementation coheres with expected properties of Kantian ethic. My system is an early step towards philosophically mature ethical AI agents and it can make nuanced judgements in complex ethical dilemmas because it is grounded in philosophical literature. Because I use an interactive theorem prover, my system's judgements are explainable.","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117306592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning 基于深度强化学习的优先约束旅行销售员问题求解
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2022-07-04 DOI: 10.1007/978-3-031-15791-2_14
Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, L. Schmidt-Thieme
{"title":"Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning","authors":"Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, L. Schmidt-Thieme","doi":"10.1007/978-3-031-15791-2_14","DOIUrl":"https://doi.org/10.1007/978-3-031-15791-2_14","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126089559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Unsupervised Alignment of Distributional Word Embeddings 分布词嵌入的无监督对齐
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2022-03-09 DOI: 10.48550/arXiv.2203.04863
Aïssatou Diallo
{"title":"Unsupervised Alignment of Distributional Word Embeddings","authors":"Aïssatou Diallo","doi":"10.48550/arXiv.2203.04863","DOIUrl":"https://doi.org/10.48550/arXiv.2203.04863","url":null,"abstract":"Cross-domain alignment play a key roles in tasks ranging from machine translation to transfer learning. Recently, purely unsupervised methods operating on monolingual embeddings have successfully been used to infer a bilingual lexicon without relying on supervision. However, current state-of-the art methods only focus on point vectors although distributional embeddings have proven to embed richer semantic information when representing words. In this paper, we propose stochastic optimization approach for aligning probabilistic embeddings. Finally, we evaluate our method on the problem of unsupervised word translation, by aligning word embeddings trained on monolingual data. We show that the proposed approach achieves good performance on the bilingual lexicon induction task across several language pairs and performs better than the point-vector based approach.","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129347971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enabling Supervised Machine Learning Through Data Pooling: A Case Study with Small and Medium-Sized Enterprises in the Service Industry 通过数据池实现监督机器学习:以服务业中小企业为例研究
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-15791-2_6
Leonhard Czarnetzki, Fabian Kainz, Fabian Lächler, Catherine Laflamme, Daniel Bachlechner
{"title":"Enabling Supervised Machine Learning Through Data Pooling: A Case Study with Small and Medium-Sized Enterprises in the Service Industry","authors":"Leonhard Czarnetzki, Fabian Kainz, Fabian Lächler, Catherine Laflamme, Daniel Bachlechner","doi":"10.1007/978-3-031-15791-2_6","DOIUrl":"https://doi.org/10.1007/978-3-031-15791-2_6","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations 作为过程的解释:以用户为中心的多层次多模态解释构建
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2021-10-07 DOI: 10.1007/978-3-030-87626-5_7
Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid
{"title":"Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations","authors":"Bettina Finzel, David E. Tafler, Stephan Scheele, Ute Schmid","doi":"10.1007/978-3-030-87626-5_7","DOIUrl":"https://doi.org/10.1007/978-3-030-87626-5_7","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114839425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction 基于血管图像重建的自监督域自适应糖尿病视网膜病变分级
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2021-07-20 DOI: 10.1007/978-3-030-87626-5_26
D. M. Nguyen, T. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag
{"title":"Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction","authors":"D. M. Nguyen, T. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag","doi":"10.1007/978-3-030-87626-5_26","DOIUrl":"https://doi.org/10.1007/978-3-030-87626-5_26","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121488997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
The Randomness of Input Data Spaces is an A Priori Predictor for Generalization 输入数据空间的随机性是泛化的先验预测因子
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2021-06-08 DOI: 10.1007/978-3-031-15791-2_3
Martin Briesch, Dominik Sobania, Franz Rothlauf
{"title":"The Randomness of Input Data Spaces is an A Priori Predictor for Generalization","authors":"Martin Briesch, Dominik Sobania, Franz Rothlauf","doi":"10.1007/978-3-031-15791-2_3","DOIUrl":"https://doi.org/10.1007/978-3-031-15791-2_3","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126808688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Combining Transformer Generators with Convolutional Discriminators 变压器发生器与卷积鉴别器的结合
Deutsche Jahrestagung für Künstliche Intelligenz Pub Date : 2021-05-21 DOI: 10.1007/978-3-030-87626-5_6
R. Durall, Stanislav Frolov, A. Dengel, J. Keuper
{"title":"Combining Transformer Generators with Convolutional Discriminators","authors":"R. Durall, Stanislav Frolov, A. Dengel, J. Keuper","doi":"10.1007/978-3-030-87626-5_6","DOIUrl":"https://doi.org/10.1007/978-3-030-87626-5_6","url":null,"abstract":"","PeriodicalId":303369,"journal":{"name":"Deutsche Jahrestagung für Künstliche Intelligenz","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126016365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
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